lookfor could not find polyfit using keyword 'polynomial' and 'fitting'.

14 Dec 2023
1 Answer
Answer Accepted
Updated 22 Dec 2023
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I thought the function lookfor searches for the keyword given in the first line (referred as 'summary line' in the reference page) of all the reference pages. However, lookfor fitting and lookfor polynomial does not show polyfit.
>> lookfor polynomial
conv - Convolution and polynomial multiplication
deconv - Least-squares deconvolution and polynomial division
polyeig - Polynomial eigenvalue problem
Find and Remove Trends - Find and remove polynomial or periodic trends from data in the Live Editor
Polynomial - Perform evaluation of polynomial coefficients on input values
polyBasis - Polynomial basis functions for tunable gain surface
images.geotrans.PolynomialTransformation2D - 2-D polynomial geometric transformation
ac2poly - Convert autocorrelation sequence to prediction polynomial
poly2ac - Convert prediction filter polynomial to autocorrelation sequence
poly2rc - Convert prediction filter polynomial to reflection coefficients
polyscale - Scale roots of polynomial
polystab - Stabilize polynomial
rc2poly - Convert reflection coefficients to prediction filter polynomial
polyconf - Polynomial confidence intervals
polytool - Interactive polynomial fitting
bernstein - Bernstein polynomials
gcd - GCD of numbers and polynomials
affinetform2d.outputLimits - Find output spatial limits given input spatial limits
affinetform2d.transformPointsInverse - Apply inverse geometric transformation
sym.gegenbauerC - Gegenbauer polynomials
sym.jacobiP - Jacobi polynomials
sym.laguerreL - Generalized Laguerre Function and Laguerre Polynomials
sym.minpoly - Minimal polynomial of matrix
sym.polynomialDegree - Degree of polynomial
sym.polynomialReduce - Reduce polynomials by division
sym.resultant - Resultant of two polynomials
images.geotrans.PolynomialTransformation2D.A - Polynomial coefficients used to determine U in the inverse transformation
images.geotrans.PolynomialTransformation2D.B - Polynomial coefficients used to determine V in the inverse transformation
images.geotrans.PolynomialTransformation2D.Degree - Degree of polynomial transformation
images.geotrans.PolynomialTransformation2D.Dimensionality - Dimensionality of geometric transformation
>> lookfor fitting
polytool - Interactive polynomial fitting
Neural Net Fitting - Solve fitting problem using two-layer feed-forward networks
ClassificationECOC.RowsUsed - Rows used in fitting
ClassificationGAM.RowsUsed - Rows used in fitting
CoxModel.VariableInfo - Information about fitting data
FeatureSelectionNCAClassification.FitMethod - Name of fitting method
FeatureSelectionNCARegression.FitMethod - Name of the fitting method used to fit this model
GeneralizedLinearModel.Steps - Stepwise fitting information
NonLinearModel.Iterative - Information about fitting process
prob.BirnbaumSaundersDistribution.InputData - Data used for distribution fitting
prob.GeneralizedExtremeValueDistribution.InputData - Data used for distribution fitting
prob.HalfNormalDistribution.InputData - Data used for distribution fitting
prob.LoglogisticDistribution.InputData - Data used for distribution fitting
ReconstructionICA.FitInfo - Fitting history
RegressionGAM.RowsUsed - Rows used in fitting
SparseFiltering.FitInfo - Fitting history
Am I missing something? First line of reference page of polyfit do have 'polynomial' and 'fitting'.
>> help polyfit
polyfit - Polynomial curve fitting
This MATLAB function returns the coefficients for a polynomial p(x) of
degree n that is a best fit (in a least-squares sense) for the data in
y.

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Matt J
Matt J on 14 Dec 2023
Moved: Matt J on 14 Dec 2023
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It works when we run it here. Something in your environment, perhaps.
lookfor polynomial
conv - Convolution and polynomial multiplication deconv - Least-squares deconvolution and polynomial division detrend - Remove polynomial trend mkpp - Make piecewise polynomial pchip - Piecewise Cubic Hermite Interpolating Polynomial (PCHIP) poly - Polynomial with specified roots or characteristic polynomial polyder - Polynomial differentiation polyeig - Polynomial eigenvalue problem polyfit - Polynomial curve fitting polyint - Polynomial integration polyval - Polynomial evaluation polyvalm - Matrix polynomial evaluation ppval - Evaluate piecewise polynomial roots - Polynomial roots unmkpp - Extract piecewise polynomial details Find and Remove Trends - Find and remove polynomial or periodic trends from data in the Live Editor Polynomial - Perform evaluation of polynomial coefficients on input values mssgolay - Smooth signal with peaks using least-squares polynomial bchgenpoly - Produce generator polynomials for BCH code cyclpoly - Produce generator polynomials for binary cyclic code gfadd - Add polynomials over Galois field gfconv - Multiply polynomials over Galois field gfdeconv - Divide polynomials over Galois field gffilter (prime Galois field) - Filter data using polynomials over prime Galois field gfminpol - Find minimal polynomial of Galois field element gfpretty - Polynomial in traditional format gfprimck - Check whether polynomial over Galois field is primitive gfprimdf - Provide default primitive polynomials for Galois field gfprimfd - Find primitive polynomials for Galois field gfrepcov - Convert one binary polynomial representation to another gfroots - Find roots of polynomial over prime Galois field gfsub - Subtract polynomials over Galois field gftrunc - Minimize length of polynomial representation isprimitive - True for primitive polynomial for Galois field minpol - Find minimal polynomial of Galois field element poly2trellis - Convert convolutional code polynomials to trellis description primpoly - Find primitive polynomials for Galois field rsgenpoly - Generator polynomial of Reed-Solomon code rsgenpolycoeffs - Generator polynomial coefficients of Reed-Solomon code polyBasis - Polynomial basis functions for tunable gain surface bspline - Plot B-spline and its polynomial pieces fdesign.polysrc - Construct polynomial sample-rate converter (POLYSRC) filter designer conv - Convolution and polynomial multiplication of fi objects bj - Estimate Box-Jenkins polynomial model using time-domain data idPolynomial1D - Class representing single-variable polynomial nonlinear estimator for Hammerstein-Wiener models oe - Estimate output-error polynomial model using time-domain or frequency-domain data polyest - Estimate polynomial model using time- or frequency-domain data recursiveBJ - Create System object for online parameter estimation of Box-Jenkins polynomial model recursiveOE - Create System object for online parameter estimation of Output-Error polynomial model images.geotrans.PolynomialTransformation2D - 2-D polynomial geometric transformation map.geotiff.RPCCoefficientTag - Rational Polynomial Coefficients Tag bsplinepolytraj - Generate polynomial trajectories using B-splines cubicpolytraj - Generate third-order polynomial trajectories ac2poly - Convert autocorrelation sequence to prediction polynomial poly2ac - Convert prediction filter polynomial to autocorrelation sequence poly2rc - Convert prediction filter polynomial to reflection coefficients polyscale - Scale roots of polynomial polystab - Stabilize polynomial rc2poly - Convert reflection coefficients to prediction filter polynomial polyconf - Polynomial confidence intervals polytool - Interactive polynomial fitting bernstein - Bernstein polynomials gcd - GCD of numbers and polynomials fitPolynomialRANSAC - Fit polynomial to points using RANSAC filters2lp - Filters to Laurent polynomials imlpt - Inverse multiscale local 1-D polynomial transform mlpt - Multiscale local 1-D polynomial transform mlptdenoise - Denoise signal using multiscale local 1-D polynomial transform mlptrecon - Reconstruct signal using inverse multiscale local 1-D polynomial transform wave2lp - Laurent polynomials associated with wavelet comm.DPDCoefficientEstimator - Estimate memory-polynomial coefficients for digital predistortion dsp.FarrowRateConverter - Polynomial sample rate converter with arbitrary conversion factor dsphdl.FarrowRateConverter - Polynomial sample-rate converter LagOp - Create lag operator polynomial idpoly - Polynomial model with identifiable parameters polynomialRegressor - Specify polynomial regressor for nonlinear ARX model polynomialTrajectory - Piecewise-polynomial trajectory generator polynomialTrajectory - Piecewise-polynomial trajectory generator laurentPolynomial - Create Laurent polynomial dsp.FarrowRateConverter.getPolynomialCoefficients - Get polynomial coefficients of farrow rate conversion filter idgrey.polydata - Access polynomial coefficients and uncertainties of identified model idpoly.setPolyFormat - Specify format for B and F polynomials of multi-input polynomial model affinetform2d.outputLimits - Find output spatial limits given input spatial limits affinetform2d.transformPointsInverse - Apply inverse geometric transformation polynomialTrajectory.lookupPose - Obtain pose information for certain time polynomialTrajectory.waypointInfo - Get waypoint information table sym.bernoulli - Bernoulli numbers and polynomials sym.charpoly - Characteristic polynomial of matrix sym.chebyshevT - Chebyshev polynomials of the first kind sym.chebyshevU - Chebyshev polynomials of the second kind sym.coeffs - Coefficients of polynomial sym.euler - Euler numbers and polynomials sym.gegenbauerC - Gegenbauer polynomials sym.hermiteH - Hermite polynomials sym.horner - Horner nested polynomial representation sym.jacobiP - Jacobi polynomials sym.laguerreL - Generalized Laguerre Function and Laguerre Polynomials sym.legendreP - Legendre polynomials sym.minpoly - Minimal polynomial of matrix sym.poly2sym - Create symbolic polynomial from vector of coefficients sym.polynomialDegree - Degree of polynomial sym.polynomialReduce - Reduce polynomials by division sym.resultant - Resultant of two polynomials sym.root - Represent roots of polynomial sym.sym2poly - Extract vector of all numeric coefficients, including zeros, from symbolic polynomial polynomialTrajectory.lookupPose - Obtain pose information for certain time polynomialTrajectory.waypointInfo - Get waypoint information table laurentPolynomial.degree - Degree of Laurent polynomial laurentPolynomial.dyaddown - Dyadic downsampling of Laurent polynomial or Laurent matrix laurentPolynomial.dyadup - Dyadic upsampling of Laurent polynomial or Laurent matrix laurentPolynomial.eq - Laurent polynomials or Laurent matrices equality test laurentPolynomial.euclid - Euclidean algorithm for Laurent polynomials laurentPolynomial.horzcat - Horizontal concatenation of Laurent polynomials laurentPolynomial.lp2filters - Laurent polynomials to filters laurentPolynomial.lp2LS - Laurent polynomials to lifting steps and normalization factors laurentPolynomial.minus - Laurent polynomial or Laurent matrix subtraction laurentPolynomial.mpower - Laurent polynomial exponentiation laurentPolynomial.mtimes - Laurent polynomial or Laurent matrix multiplication laurentPolynomial.ne - Laurent polynomials inequality test laurentPolynomial.plus - Laurent polynomial or Laurent matrix addition laurentPolynomial.polyphase - Polyphase components of Laurent polynomial laurentPolynomial.reflect - Laurent polynomial or Laurent matrix reflection laurentPolynomial.rescale - Rescale Laurent polynomial laurentPolynomial.uminus - Unary minus for Laurent polynomial or Laurent matrix laurentPolynomial.vertcat - Vertical concatenation of Laurent polynomials LagOp.filter - Apply lag operator polynomial to filter time series LagOp.isEqLagOp - Determine if two LagOp objects are same mathematical polynomial LagOp.isStable - Determine stability of lag operator polynomial LagOp.minus - Lag operator polynomial subtraction LagOp.mldivide - Lag operator polynomial left division LagOp.mrdivide - Lag operator polynomial right division LagOp.mtimes - Lag operator polynomial multiplication LagOp.plus - Lag operator polynomial addition LagOp.reflect - Reflect lag operator polynomial coefficients around lag zero LagOp.toCellArray - Convert lag operator polynomial object to cell array comm.BCHDecoder.GeneratorPolynomialSource - Source of generator polynomial comm.BCHDecoder.GeneratorPolynomial - Generator polynomial comm.BCHDecoder.CheckGeneratorPolynomial - Option to check generator polynomial comm.BCHDecoder.PrimitivePolynomialSource - Source of primitive polynomial comm.BCHDecoder.PrimitivePolynomial - Primitive polynomial comm.BCHEncoder.GeneratorPolynomialSource - Source of generator polynomial comm.BCHEncoder.GeneratorPolynomial - Generator polynomial comm.BCHEncoder.CheckGeneratorPolynomial - Option to check generator polynomial comm.BCHEncoder.PrimitivePolynomialSource - Source of primitive polynomial comm.BCHEncoder.PrimitivePolynomial - Primitive polynomial comm.CRCDetector.Polynomial - Generator polynomial comm.CRCGenerator.Polynomial - Generator polynomial comm.Descrambler.Polynomial - Connections for linear feedback shift registers comm.DPD.PolynomialType - Polynomial type comm.DPD.Coefficients - Memory-polynomial coefficients comm.DPDCoefficientEstimator.PolynomialType - Polynomial type comm.DPDCoefficientEstimator.Degree - Memory-polynomial degree comm.DPDCoefficientEstimator.MemoryDepth - Memory-polynomial depth comm.GoldSequence.FirstPolynomial - Generator polynomial for first preferred PN sequence comm.GoldSequence.SecondPolynomial - Generator polynomial for second preferred PN sequence comm.HDLCRCDetector.Polynomial - Generator polynomial comm.HDLCRCGenerator.Polynomial - Generator polynomial comm.HDLRSDecoder.B - Starting power for roots of primitive polynomial comm.HDLRSDecoder.BSource - Source of starting power for roots of primitive polynomial comm.HDLRSDecoder.PrimitivePolynomialSource - Source of primitive polynomial comm.HDLRSDecoder.PrimitivePolynomial - Primitive polynomial comm.HDLRSEncoder.B - Starting power for roots of primitive polynomial comm.HDLRSEncoder.BSource - Source of starting power for roots of primitive polynomial comm.HDLRSEncoder.PrimitivePolynomialSource - Source of primitive polynomial comm.HDLRSEncoder.PrimitivePolynomial - Primitive polynomial comm.KasamiSequence.Polynomial - Generator polynomial comm.MemorylessNonlinearity.TOISpecification - Third-order nonlinearity specification for cubic polynomial comm.PNSequence.Polynomial - Generator polynomial comm.RSDecoder.GeneratorPolynomialSource - Source of generator polynomial comm.RSDecoder.GeneratorPolynomial - Generator polynomial comm.RSDecoder.CheckGeneratorPolynomial - Option to check generator polynomial comm.RSDecoder.PrimitivePolynomialSource - Source of primitive polynomial comm.RSDecoder.PrimitivePolynomial - Primitive polynomial comm.RSEncoder.GeneratorPolynomialSource - Source of generator polynomial comm.RSEncoder.GeneratorPolynomial - Generator polynomial comm.RSEncoder.CheckGeneratorPolynomial - Option to check generator polynomial comm.RSEncoder.PrimitivePolynomialSource - Source of primitive polynomial comm.RSEncoder.PrimitivePolynomial - Primitive polynomial comm.Scrambler.Polynomial - Connections for linear feedback shift registers zpk.DisplayFormat - Specifies how the numerator and denominator polynomials are factorized for display dsp.AllpassFilter.AllpassCoefficients - Allpass polynomial coefficients dsp.CoupledAllpassFilter.AllpassCoefficients1 - Allpass polynomial coefficients of branch 1 dsp.CoupledAllpassFilter.AllpassCoefficients2 - Allpass polynomial coefficients of branch 2 dsp.FarrowRateConverter.PolynomialOrder - Order of Lagrange-interpolation-filter polynomial dsp.FarrowRateConverter.Coefficients - Filter polynomial coefficients dsp.IIRHalfbandDecimator.AllpassCoefficients1 - Allpass polynomial filter coefficients of first branch dsp.IIRHalfbandDecimator.AllpassCoefficients2 - Allpass polynomial filter coefficients of second branch dsp.IIRHalfbandInterpolator.AllpassCoefficients1 - Allpass polynomial filter coefficients of first branch dsp.IIRHalfbandInterpolator.AllpassCoefficients2 - Allpass polynomial filter coefficients of second branch dsp.VariableFractionalDelay.ProductPolynomialValueDataType - Data type of the product polynomial value dsp.VariableFractionalDelay.CustomProductPolynomialValueDataType - Word and fraction lengths of product polynomial value dsp.VariableFractionalDelay.AccumulatorPolynomialValueDataType - Data type of the accumulator polynomial value dsp.VariableFractionalDelay.CustomAccumulatorPolynomialValueDataType - Word and fraction lengths of accumulator polynomial value dsp.VariableFractionalDelay.MultiplicandPolynomialValueDataType - Data type of multiplicand polynomial value dsp.VariableFractionalDelay.CustomMultiplicandPolynomialValueDataType - Word and fraction lengths of multiplicand polynomial value arima.P - Compound AR polynomial degree arima.Q - Compound MA polynomial degree arima.AR - Nonseasonal AR polynomial coefficients arima.SAR - Seasonal AR polynomial coefficients arima.MA - Nonseasonal MA polynomial coefficients arima.SMA - Seasonal MA polynomial coefficients arima.Seasonality - Degree of seasonal differencing polynomial conjugatebvarm.P - Multivariate autoregressive polynomial order diffusebvarm.P - Multivariate autoregressive polynomial order egarch.P - GARCH polynomial degree egarch.Q - Maximum degree of ARCH and leverage polynomials egarch.GARCH - GARCH polynomial coefficients egarch.ARCH - ARCH polynomial coefficients egarch.Leverage - Leverage polynomial coefficients empiricalbvarm.P - Multivariate autoregressive polynomial order garch.P - GARCH polynomial degree garch.Q - ARCH polynomial degree garch.GARCH - GARCH polynomial coefficients garch.ARCH - ARCH polynomial coefficients gjr.P - GARCH polynomial degree gjr.Q - Maximum degree of ARCH and leverage polynomials gjr.GARCH - GARCH polynomial coefficients gjr.ARCH - ARCH polynomial coefficients gjr.Leverage - Leverage polynomial coefficients LagOp.Coefficients - Lag operator polynomial coefficients LagOp.Degree - Polynomial degree p LagOp.Dimension - Polynomial dimension m LagOp.Lags - Polynomial lags associated with nonzero coefficients normalbvarm.P - Multivariate autoregressive polynomial order regARIMA.P - Compound AR polynomial degree regARIMA.Q - Compound MA polynomial degree regARIMA.AR - Nonseasonal AR polynomial coefficients ϕ regARIMA.MA - Nonseasonal MA polynomial coefficients θ regARIMA.SAR - Seasonal AR polynomial coefficients Φ regARIMA.SMA - Seasonal MA polynomial coefficients regARIMA.Seasonality - Degree of seasonal differencing polynomial semiconjugatebvarm.P - Multivariate autoregressive polynomial order varm.P - Multivariate autoregressive polynomial order idpoly.A - Values of polynomial coefficients idpoly.B - Values of polynomial coefficients idpoly.C - Values of polynomial coefficients idpoly.D - Values of polynomial coefficients idpoly.F - Values of polynomial coefficients idpoly.Variable - Polynomial model display variable idSupportVectorMachine.Polynomial Order - Polynomial kernel function order polynomialRegressor.Variables - Output and input variable names polynomialRegressor.Lags - Lags in each variable polynomialRegressor.UseAbsolute - Absolute value indicator polynomialRegressor.AllowVariableMix - Mixed variables indicator polynomialRegressor.AllowLagMix - Mixed lag indicator polynomialRegressor.TimeVariable - Name of time variable images.geotrans.PolynomialTransformation2D.A - Polynomial coefficients used to determine U in the inverse transformation images.geotrans.PolynomialTransformation2D.B - Polynomial coefficients used to determine V in the inverse transformation images.geotrans.PolynomialTransformation2D.Degree - Degree of polynomial transformation images.geotrans.PolynomialTransformation2D.Dimensionality - Dimensionality of geometric transformation map.geotiff.RPCCoefficientTag.LineNumeratorCoefficients - Coefficients for the polynomial in the numerator of the r(n) equation map.geotiff.RPCCoefficientTag.LineDenominatorCoefficients - Coefficients for the polynomial in the denominator of the r(n) equation map.geotiff.RPCCoefficientTag.SampleNumeratorCoefficients - Coefficients for the polynomial in the numerator of the c(n) equation map.geotiff.RPCCoefficientTag.SampleDenominatorCoefficients - Coefficients for the polynomial in the denominator of the c(n) equation pde.FEMesh.GeometricOrder - Element polynomial order phased.NonlinearFMWaveform.PolynomialCoefficients - Coefficients of polynomial frequency function polynomialTrajectory.SampleRate - Sample rate of trajectory (Hz) polynomialTrajectory.SamplesPerFrame - Number of samples per output frame polynomialTrajectory.Orientation - Orientation at each waypoint polynomialTrajectory.Waypoints - Positions in navigation coordinate system (m) polynomialTrajectory.TimeOfArrival - Timestamp at each waypoint (s) polynomialTrajectory.AutoPitch - Align pitch angle with direction of motion polynomialTrajectory.AutoBank - Align roll angle to counteract centripetal force polynomialTrajectory.ReferenceFrame - Reference frame of trajectory polynomialTrajectory.Velocities - Velocity in navigation coordinate system at each waypoint (m/s) polynomialTrajectory.Course - Horizontal direction of travel (degrees) polynomialTrajectory.GroundSpeed - Groundspeed at each waypoint (m/s) polynomialTrajectory.ClimbRate - Climb rate at each waypoint (m/s) dvbrcs2RecoveryConfig.ScramblingPolynomial - Scrambling polynomial dvbrcs2WaveformGenerator.ScramblingPolynomial - Scrambling polynomial polynomialTrajectory.SampleRate - Sample rate of trajectory (Hz) polynomialTrajectory.SamplesPerFrame - Number of samples per output frame polynomialTrajectory.Orientation - Orientation at each waypoint polynomialTrajectory.Waypoints - Positions in navigation coordinate system (m) polynomialTrajectory.TimeOfArrival - Timestamp at each waypoint (s) polynomialTrajectory.AutoPitch - Align pitch angle with direction of motion polynomialTrajectory.AutoBank - Align roll angle to counteract centripetal force polynomialTrajectory.ReferenceFrame - Reference frame of trajectory polynomialTrajectory.Velocities - Velocity in navigation coordinate system at each waypoint (m/s) polynomialTrajectory.Course - Horizontal direction of travel (degrees) polynomialTrajectory.GroundSpeed - Groundspeed at each waypoint (m/s) polynomialTrajectory.ClimbRate - Climb rate at each waypoint (m/s) fisheyeIntrinsics.MappingCoefficients - Polynomial coefficients for projection function laurentPolynomial.Coefficients - Laurent polynomial coefficients laurentPolynomial.MaxOrder - Maximum order DPD Coefficient Estimator - Estimate memory-polynomial coefficients for digital predistortion General CRC Generator - Generate CRC code bits according to generator polynomial and append to input data frames General CRC Syndrome Detector - Detect errors in received codeword frames according to generator polynomial Farrow Rate Converter - Polynomial sample-rate converter with arbitrary conversion factor Least Squares Polynomial Fit - Compute polynomial coefficients that best fit input data in least-squares sense Polynomial Evaluation - Evaluate polynomial expression Polynomial Stability Test - Use Schur-Cohn algorithm to determine whether all roots of input polynomial are inside unit circle Farrow Rate Converter - Polynomial sample-rate converter Model Type Converter - Convert polynomial model coefficients to state-space model matrices Recursive Polynomial Model Estimator - Estimate input-output and time-series polynomial model coefficients Minimum Jerk Polynomial Trajectory - Generate minimum jerk polynomial trajectories through multiple waypoints Minimum Snap Polynomial Trajectory - Generate minimum snap polynomial trajectories through multiple waypoints Polynomial Trajectory - Generate polynomial trajectories through waypoints RST Controller - Predictive control using a polynomial representation Minimum Jerk Polynomial Trajectory - Generate minimum jerk polynomial trajectories through multiple waypoints Minimum Snap Polynomial Trajectory - Generate minimum snap polynomial trajectories through multiple waypoints Nonlinear Rotational Spring - Torsional spring based on polynomial or table lookup parameterizations Nonlinear Translational Spring - Translational spring based on polynomial or table lookup parameterizations PCCCS - Polynomial current-controlled current source PCCCS2 - Polynomial current-controlled current source with two controlling inputs PCCVS - Polynomial current-controlled voltage source PCCVS2 - Polynomial current-controlled voltage source with two controlling inputs PVCCS - Polynomial voltage-controlled current source PVCCS2 - Polynomial voltage-controlled current source with two controlling inputs PVCVS - Polynomial voltage-controlled voltage source PVCVS2 - Polynomial voltage-controlled voltage source with two controlling inputs laurpoly - (To be removed) Laurent polynomials constructor
lookfor fitting
polyfit - Polynomial curve fitting fittype - Fit type for curve and surface fitting prepareCurveData - Prepare data inputs for curve fitting prepareSurfaceData - Prepare data inputs for surface fitting fitnet - Function fitting neural network nftool - Open Neural Net Fitting app lsqcurvefit - Solve nonlinear curve-fitting (data-fitting) problems in least-squares sense lsqnonlin - Solve nonlinear least-squares (nonlinear data-fitting) problems polytool - Interactive polynomial fitting IRFitOptions - Construct specific options for fitting interest-rate curve object rfckt.rational - Perform rational fitting to complex frequency-dependent data groupedData - Table-like collection of data and metadata for fitting in SimBiology ldaModel.resume - Resume fitting LDA model Neural Net Fitting - Solve fitting problem using two-layer feed-forward networks IRFitOptions.FitType - Minimize by in curve fitting process rctoptions.dksyn.AutoScalingOrder - State order for fitting scaling data for mixed mu-synthesis fitproblem.Doses - Doses applied during fitting fitproblem.Variants - Variants applied during fitting fitproblem.Weights - Weights used during fitting NLINResults.Data - Data used for fitting NLMEResults.Data - Data used for fitting OptimResults.Data - Data used for fitting SimBiology.fit.ConfidenceInterval.GroupNames - Original group names from data used for fitting SimBiology.fit.LeastSquaresResults.Data - Data used for fitting SimBiology.fit.ParameterConfidenceInterval.GroupNames - Original group names from data used for fitting SimBiology.fit.PredictionConfidenceInterval.GroupNames - Original group names from data used for fitting ClassificationECOC.RowsUsed - Rows used in fitting ClassificationGAM.RowsUsed - Rows used in fitting ClassificationKNN.RowsUsed - Rows used in fitting CoxModel.VariableInfo - Information about fitting data FeatureSelectionNCAClassification.FitMethod - Name of fitting method FeatureSelectionNCARegression.FitMethod - Name of the fitting method used to fit this model GeneralizedLinearModel.Steps - Stepwise fitting information LinearModel.Steps - Stepwise fitting information NonLinearModel.Iterative - Information about fitting process prob.BetaDistribution.InputData - Data used for distribution fitting prob.BinomialDistribution.InputData - Data used for distribution fitting prob.BirnbaumSaundersDistribution.InputData - Data used for distribution fitting prob.BurrDistribution.InputData - Data used for distribution fitting prob.ExponentialDistribution.InputData - Data used for distribution fitting prob.ExtremeValueDistribution.InputData - Data used for distribution fitting prob.GammaDistribution.InputData - Data used for distribution fitting prob.GeneralizedExtremeValueDistribution.InputData - Data used for distribution fitting prob.GeneralizedParetoDistribution.InputData - Data used for distribution fitting prob.HalfNormalDistribution.InputData - Data used for distribution fitting prob.InverseGaussianDistribution.InputData - Data used for distribution fitting prob.KernelDistribution.InputData - Data used for distribution fitting prob.LogisticDistribution.InputData - Data used for distribution fitting prob.LoglogisticDistribution.InputData - Data used for distribution fitting prob.LognormalDistribution.InputData - Data used for distribution fitting prob.NakagamiDistribution.InputData - Data used for distribution fitting prob.NegativeBinomialDistribution.InputData - Data used for distribution fitting prob.NormalDistribution.InputData - Data used for distribution fitting prob.PoissonDistribution.InputData - Data used for distribution fitting prob.RayleighDistribution.InputData - Data used for distribution fitting prob.RicianDistribution.InputData - Data used for distribution fitting prob.StableDistribution.InputData - Data used for distribution fitting prob.tLocationScaleDistribution.InputData - Data used for distribution fitting prob.WeibullDistribution.InputData - Data used for distribution fitting ReconstructionICA.FitInfo - Fitting history RegressionGAM.RowsUsed - Rows used in fitting SparseFiltering.FitInfo - Fitting history ldaModel.FitInfo - Information recorded when fitting LDA model Root WSF DOA - Root weighted subspace fitting (WSF) direction of arrival (DOA) estimator for ULA sftool - (Removed) Open Curve Fitting app
dpb
dpb on 14 Dec 2023
Ran in:
Ran in:
lookfor polynomial
conv - Convolution and polynomial multiplication deconv - Least-squares deconvolution and polynomial division detrend - Remove polynomial trend mkpp - Make piecewise polynomial pchip - Piecewise Cubic Hermite Interpolating Polynomial (PCHIP) poly - Polynomial with specified roots or characteristic polynomial polyder - Polynomial differentiation polyeig - Polynomial eigenvalue problem polyfit - Polynomial curve fitting polyint - Polynomial integration polyval - Polynomial evaluation polyvalm - Matrix polynomial evaluation ppval - Evaluate piecewise polynomial roots - Polynomial roots unmkpp - Extract piecewise polynomial details Find and Remove Trends - Find and remove polynomial or periodic trends from data in the Live Editor Polynomial - Perform evaluation of polynomial coefficients on input values mssgolay - Smooth signal with peaks using least-squares polynomial bchgenpoly - Produce generator polynomials for BCH code cyclpoly - Produce generator polynomials for binary cyclic code gfadd - Add polynomials over Galois field gfconv - Multiply polynomials over Galois field gfdeconv - Divide polynomials over Galois field gffilter (prime Galois field) - Filter data using polynomials over prime Galois field gfminpol - Find minimal polynomial of Galois field element gfpretty - Polynomial in traditional format gfprimck - Check whether polynomial over Galois field is primitive gfprimdf - Provide default primitive polynomials for Galois field gfprimfd - Find primitive polynomials for Galois field gfrepcov - Convert one binary polynomial representation to another gfroots - Find roots of polynomial over prime Galois field gfsub - Subtract polynomials over Galois field gftrunc - Minimize length of polynomial representation isprimitive - True for primitive polynomial for Galois field minpol - Find minimal polynomial of Galois field element poly2trellis - Convert convolutional code polynomials to trellis description primpoly - Find primitive polynomials for Galois field rsgenpoly - Generator polynomial of Reed-Solomon code rsgenpolycoeffs - Generator polynomial coefficients of Reed-Solomon code polyBasis - Polynomial basis functions for tunable gain surface bspline - Plot B-spline and its polynomial pieces fdesign.polysrc - Construct polynomial sample-rate converter (POLYSRC) filter designer conv - Convolution and polynomial multiplication of fi objects bj - Estimate Box-Jenkins polynomial model using time-domain data idPolynomial1D - Class representing single-variable polynomial nonlinear estimator for Hammerstein-Wiener models oe - Estimate output-error polynomial model using time-domain or frequency-domain data polyest - Estimate polynomial model using time- or frequency-domain data recursiveBJ - Create System object for online parameter estimation of Box-Jenkins polynomial model recursiveOE - Create System object for online parameter estimation of Output-Error polynomial model images.geotrans.PolynomialTransformation2D - 2-D polynomial geometric transformation map.geotiff.RPCCoefficientTag - Rational Polynomial Coefficients Tag bsplinepolytraj - Generate polynomial trajectories using B-splines cubicpolytraj - Generate third-order polynomial trajectories ac2poly - Convert autocorrelation sequence to prediction polynomial poly2ac - Convert prediction filter polynomial to autocorrelation sequence poly2rc - Convert prediction filter polynomial to reflection coefficients polyscale - Scale roots of polynomial polystab - Stabilize polynomial rc2poly - Convert reflection coefficients to prediction filter polynomial polyconf - Polynomial confidence intervals polytool - Interactive polynomial fitting bernstein - Bernstein polynomials gcd - GCD of numbers and polynomials fitPolynomialRANSAC - Fit polynomial to points using RANSAC filters2lp - Filters to Laurent polynomials imlpt - Inverse multiscale local 1-D polynomial transform mlpt - Multiscale local 1-D polynomial transform mlptdenoise - Denoise signal using multiscale local 1-D polynomial transform mlptrecon - Reconstruct signal using inverse multiscale local 1-D polynomial transform wave2lp - Laurent polynomials associated with wavelet comm.DPDCoefficientEstimator - Estimate memory-polynomial coefficients for digital predistortion dsp.FarrowRateConverter - Polynomial sample rate converter with arbitrary conversion factor dsphdl.FarrowRateConverter - Polynomial sample-rate converter LagOp - Create lag operator polynomial idpoly - Polynomial model with identifiable parameters polynomialRegressor - Specify polynomial regressor for nonlinear ARX model polynomialTrajectory - Piecewise-polynomial trajectory generator polynomialTrajectory - Piecewise-polynomial trajectory generator laurentPolynomial - Create Laurent polynomial dsp.FarrowRateConverter.getPolynomialCoefficients - Get polynomial coefficients of farrow rate conversion filter idgrey.polydata - Access polynomial coefficients and uncertainties of identified model idpoly.setPolyFormat - Specify format for B and F polynomials of multi-input polynomial model affinetform2d.outputLimits - Find output spatial limits given input spatial limits affinetform2d.transformPointsInverse - Apply inverse geometric transformation polynomialTrajectory.lookupPose - Obtain pose information for certain time polynomialTrajectory.waypointInfo - Get waypoint information table sym.bernoulli - Bernoulli numbers and polynomials sym.charpoly - Characteristic polynomial of matrix sym.chebyshevT - Chebyshev polynomials of the first kind sym.chebyshevU - Chebyshev polynomials of the second kind sym.coeffs - Coefficients of polynomial sym.euler - Euler numbers and polynomials sym.gegenbauerC - Gegenbauer polynomials sym.hermiteH - Hermite polynomials sym.horner - Horner nested polynomial representation sym.jacobiP - Jacobi polynomials sym.laguerreL - Generalized Laguerre Function and Laguerre Polynomials sym.legendreP - Legendre polynomials sym.minpoly - Minimal polynomial of matrix sym.poly2sym - Create symbolic polynomial from vector of coefficients sym.polynomialDegree - Degree of polynomial sym.polynomialReduce - Reduce polynomials by division sym.resultant - Resultant of two polynomials sym.root - Represent roots of polynomial sym.sym2poly - Extract vector of all numeric coefficients, including zeros, from symbolic polynomial polynomialTrajectory.lookupPose - Obtain pose information for certain time polynomialTrajectory.waypointInfo - Get waypoint information table laurentPolynomial.degree - Degree of Laurent polynomial laurentPolynomial.dyaddown - Dyadic downsampling of Laurent polynomial or Laurent matrix laurentPolynomial.dyadup - Dyadic upsampling of Laurent polynomial or Laurent matrix laurentPolynomial.eq - Laurent polynomials or Laurent matrices equality test laurentPolynomial.euclid - Euclidean algorithm for Laurent polynomials laurentPolynomial.horzcat - Horizontal concatenation of Laurent polynomials laurentPolynomial.lp2filters - Laurent polynomials to filters laurentPolynomial.lp2LS - Laurent polynomials to lifting steps and normalization factors laurentPolynomial.minus - Laurent polynomial or Laurent matrix subtraction laurentPolynomial.mpower - Laurent polynomial exponentiation laurentPolynomial.mtimes - Laurent polynomial or Laurent matrix multiplication laurentPolynomial.ne - Laurent polynomials inequality test laurentPolynomial.plus - Laurent polynomial or Laurent matrix addition laurentPolynomial.polyphase - Polyphase components of Laurent polynomial laurentPolynomial.reflect - Laurent polynomial or Laurent matrix reflection laurentPolynomial.rescale - Rescale Laurent polynomial laurentPolynomial.uminus - Unary minus for Laurent polynomial or Laurent matrix laurentPolynomial.vertcat - Vertical concatenation of Laurent polynomials LagOp.filter - Apply lag operator polynomial to filter time series LagOp.isEqLagOp - Determine if two LagOp objects are same mathematical polynomial LagOp.isStable - Determine stability of lag operator polynomial LagOp.minus - Lag operator polynomial subtraction LagOp.mldivide - Lag operator polynomial left division LagOp.mrdivide - Lag operator polynomial right division LagOp.mtimes - Lag operator polynomial multiplication LagOp.plus - Lag operator polynomial addition LagOp.reflect - Reflect lag operator polynomial coefficients around lag zero LagOp.toCellArray - Convert lag operator polynomial object to cell array comm.BCHDecoder.GeneratorPolynomialSource - Source of generator polynomial comm.BCHDecoder.GeneratorPolynomial - Generator polynomial comm.BCHDecoder.CheckGeneratorPolynomial - Option to check generator polynomial comm.BCHDecoder.PrimitivePolynomialSource - Source of primitive polynomial comm.BCHDecoder.PrimitivePolynomial - Primitive polynomial comm.BCHEncoder.GeneratorPolynomialSource - Source of generator polynomial comm.BCHEncoder.GeneratorPolynomial - Generator polynomial comm.BCHEncoder.CheckGeneratorPolynomial - Option to check generator polynomial comm.BCHEncoder.PrimitivePolynomialSource - Source of primitive polynomial comm.BCHEncoder.PrimitivePolynomial - Primitive polynomial comm.CRCDetector.Polynomial - Generator polynomial comm.CRCGenerator.Polynomial - Generator polynomial comm.Descrambler.Polynomial - Connections for linear feedback shift registers comm.DPD.PolynomialType - Polynomial type comm.DPD.Coefficients - Memory-polynomial coefficients comm.DPDCoefficientEstimator.PolynomialType - Polynomial type comm.DPDCoefficientEstimator.Degree - Memory-polynomial degree comm.DPDCoefficientEstimator.MemoryDepth - Memory-polynomial depth comm.GoldSequence.FirstPolynomial - Generator polynomial for first preferred PN sequence comm.GoldSequence.SecondPolynomial - Generator polynomial for second preferred PN sequence comm.HDLCRCDetector.Polynomial - Generator polynomial comm.HDLCRCGenerator.Polynomial - Generator polynomial comm.HDLRSDecoder.B - Starting power for roots of primitive polynomial comm.HDLRSDecoder.BSource - Source of starting power for roots of primitive polynomial comm.HDLRSDecoder.PrimitivePolynomialSource - Source of primitive polynomial comm.HDLRSDecoder.PrimitivePolynomial - Primitive polynomial comm.HDLRSEncoder.B - Starting power for roots of primitive polynomial comm.HDLRSEncoder.BSource - Source of starting power for roots of primitive polynomial comm.HDLRSEncoder.PrimitivePolynomialSource - Source of primitive polynomial comm.HDLRSEncoder.PrimitivePolynomial - Primitive polynomial comm.KasamiSequence.Polynomial - Generator polynomial comm.MemorylessNonlinearity.TOISpecification - Third-order nonlinearity specification for cubic polynomial comm.PNSequence.Polynomial - Generator polynomial comm.RSDecoder.GeneratorPolynomialSource - Source of generator polynomial comm.RSDecoder.GeneratorPolynomial - Generator polynomial comm.RSDecoder.CheckGeneratorPolynomial - Option to check generator polynomial comm.RSDecoder.PrimitivePolynomialSource - Source of primitive polynomial comm.RSDecoder.PrimitivePolynomial - Primitive polynomial comm.RSEncoder.GeneratorPolynomialSource - Source of generator polynomial comm.RSEncoder.GeneratorPolynomial - Generator polynomial comm.RSEncoder.CheckGeneratorPolynomial - Option to check generator polynomial comm.RSEncoder.PrimitivePolynomialSource - Source of primitive polynomial comm.RSEncoder.PrimitivePolynomial - Primitive polynomial comm.Scrambler.Polynomial - Connections for linear feedback shift registers zpk.DisplayFormat - Specifies how the numerator and denominator polynomials are factorized for display dsp.AllpassFilter.AllpassCoefficients - Allpass polynomial coefficients dsp.CoupledAllpassFilter.AllpassCoefficients1 - Allpass polynomial coefficients of branch 1 dsp.CoupledAllpassFilter.AllpassCoefficients2 - Allpass polynomial coefficients of branch 2 dsp.FarrowRateConverter.PolynomialOrder - Order of Lagrange-interpolation-filter polynomial dsp.FarrowRateConverter.Coefficients - Filter polynomial coefficients dsp.IIRHalfbandDecimator.AllpassCoefficients1 - Allpass polynomial filter coefficients of first branch dsp.IIRHalfbandDecimator.AllpassCoefficients2 - Allpass polynomial filter coefficients of second branch dsp.IIRHalfbandInterpolator.AllpassCoefficients1 - Allpass polynomial filter coefficients of first branch dsp.IIRHalfbandInterpolator.AllpassCoefficients2 - Allpass polynomial filter coefficients of second branch dsp.VariableFractionalDelay.ProductPolynomialValueDataType - Data type of the product polynomial value dsp.VariableFractionalDelay.CustomProductPolynomialValueDataType - Word and fraction lengths of product polynomial value dsp.VariableFractionalDelay.AccumulatorPolynomialValueDataType - Data type of the accumulator polynomial value dsp.VariableFractionalDelay.CustomAccumulatorPolynomialValueDataType - Word and fraction lengths of accumulator polynomial value dsp.VariableFractionalDelay.MultiplicandPolynomialValueDataType - Data type of multiplicand polynomial value dsp.VariableFractionalDelay.CustomMultiplicandPolynomialValueDataType - Word and fraction lengths of multiplicand polynomial value arima.P - Compound AR polynomial degree arima.Q - Compound MA polynomial degree arima.AR - Nonseasonal AR polynomial coefficients arima.SAR - Seasonal AR polynomial coefficients arima.MA - Nonseasonal MA polynomial coefficients arima.SMA - Seasonal MA polynomial coefficients arima.Seasonality - Degree of seasonal differencing polynomial conjugatebvarm.P - Multivariate autoregressive polynomial order diffusebvarm.P - Multivariate autoregressive polynomial order egarch.P - GARCH polynomial degree egarch.Q - Maximum degree of ARCH and leverage polynomials egarch.GARCH - GARCH polynomial coefficients egarch.ARCH - ARCH polynomial coefficients egarch.Leverage - Leverage polynomial coefficients empiricalbvarm.P - Multivariate autoregressive polynomial order garch.P - GARCH polynomial degree garch.Q - ARCH polynomial degree garch.GARCH - GARCH polynomial coefficients garch.ARCH - ARCH polynomial coefficients gjr.P - GARCH polynomial degree gjr.Q - Maximum degree of ARCH and leverage polynomials gjr.GARCH - GARCH polynomial coefficients gjr.ARCH - ARCH polynomial coefficients gjr.Leverage - Leverage polynomial coefficients LagOp.Coefficients - Lag operator polynomial coefficients LagOp.Degree - Polynomial degree p LagOp.Dimension - Polynomial dimension m LagOp.Lags - Polynomial lags associated with nonzero coefficients normalbvarm.P - Multivariate autoregressive polynomial order regARIMA.P - Compound AR polynomial degree regARIMA.Q - Compound MA polynomial degree regARIMA.AR - Nonseasonal AR polynomial coefficients ϕ regARIMA.MA - Nonseasonal MA polynomial coefficients θ regARIMA.SAR - Seasonal AR polynomial coefficients Φ regARIMA.SMA - Seasonal MA polynomial coefficients regARIMA.Seasonality - Degree of seasonal differencing polynomial semiconjugatebvarm.P - Multivariate autoregressive polynomial order varm.P - Multivariate autoregressive polynomial order idpoly.A - Values of polynomial coefficients idpoly.B - Values of polynomial coefficients idpoly.C - Values of polynomial coefficients idpoly.D - Values of polynomial coefficients idpoly.F - Values of polynomial coefficients idpoly.Variable - Polynomial model display variable idSupportVectorMachine.Polynomial Order - Polynomial kernel function order polynomialRegressor.Variables - Output and input variable names polynomialRegressor.Lags - Lags in each variable polynomialRegressor.UseAbsolute - Absolute value indicator polynomialRegressor.AllowVariableMix - Mixed variables indicator polynomialRegressor.AllowLagMix - Mixed lag indicator polynomialRegressor.TimeVariable - Name of time variable images.geotrans.PolynomialTransformation2D.A - Polynomial coefficients used to determine U in the inverse transformation images.geotrans.PolynomialTransformation2D.B - Polynomial coefficients used to determine V in the inverse transformation images.geotrans.PolynomialTransformation2D.Degree - Degree of polynomial transformation images.geotrans.PolynomialTransformation2D.Dimensionality - Dimensionality of geometric transformation map.geotiff.RPCCoefficientTag.LineNumeratorCoefficients - Coefficients for the polynomial in the numerator of the r(n) equation map.geotiff.RPCCoefficientTag.LineDenominatorCoefficients - Coefficients for the polynomial in the denominator of the r(n) equation map.geotiff.RPCCoefficientTag.SampleNumeratorCoefficients - Coefficients for the polynomial in the numerator of the c(n) equation map.geotiff.RPCCoefficientTag.SampleDenominatorCoefficients - Coefficients for the polynomial in the denominator of the c(n) equation pde.FEMesh.GeometricOrder - Element polynomial order phased.NonlinearFMWaveform.PolynomialCoefficients - Coefficients of polynomial frequency function polynomialTrajectory.SampleRate - Sample rate of trajectory (Hz) polynomialTrajectory.SamplesPerFrame - Number of samples per output frame polynomialTrajectory.Orientation - Orientation at each waypoint polynomialTrajectory.Waypoints - Positions in navigation coordinate system (m) polynomialTrajectory.TimeOfArrival - Timestamp at each waypoint (s) polynomialTrajectory.AutoPitch - Align pitch angle with direction of motion polynomialTrajectory.AutoBank - Align roll angle to counteract centripetal force polynomialTrajectory.ReferenceFrame - Reference frame of trajectory polynomialTrajectory.Velocities - Velocity in navigation coordinate system at each waypoint (m/s) polynomialTrajectory.Course - Horizontal direction of travel (degrees) polynomialTrajectory.GroundSpeed - Groundspeed at each waypoint (m/s) polynomialTrajectory.ClimbRate - Climb rate at each waypoint (m/s) dvbrcs2RecoveryConfig.ScramblingPolynomial - Scrambling polynomial dvbrcs2WaveformGenerator.ScramblingPolynomial - Scrambling polynomial polynomialTrajectory.SampleRate - Sample rate of trajectory (Hz) polynomialTrajectory.SamplesPerFrame - Number of samples per output frame polynomialTrajectory.Orientation - Orientation at each waypoint polynomialTrajectory.Waypoints - Positions in navigation coordinate system (m) polynomialTrajectory.TimeOfArrival - Timestamp at each waypoint (s) polynomialTrajectory.AutoPitch - Align pitch angle with direction of motion polynomialTrajectory.AutoBank - Align roll angle to counteract centripetal force polynomialTrajectory.ReferenceFrame - Reference frame of trajectory polynomialTrajectory.Velocities - Velocity in navigation coordinate system at each waypoint (m/s) polynomialTrajectory.Course - Horizontal direction of travel (degrees) polynomialTrajectory.GroundSpeed - Groundspeed at each waypoint (m/s) polynomialTrajectory.ClimbRate - Climb rate at each waypoint (m/s) fisheyeIntrinsics.MappingCoefficients - Polynomial coefficients for projection function laurentPolynomial.Coefficients - Laurent polynomial coefficients laurentPolynomial.MaxOrder - Maximum order DPD Coefficient Estimator - Estimate memory-polynomial coefficients for digital predistortion General CRC Generator - Generate CRC code bits according to generator polynomial and append to input data frames General CRC Syndrome Detector - Detect errors in received codeword frames according to generator polynomial Farrow Rate Converter - Polynomial sample-rate converter with arbitrary conversion factor Least Squares Polynomial Fit - Compute polynomial coefficients that best fit input data in least-squares sense Polynomial Evaluation - Evaluate polynomial expression Polynomial Stability Test - Use Schur-Cohn algorithm to determine whether all roots of input polynomial are inside unit circle Farrow Rate Converter - Polynomial sample-rate converter Model Type Converter - Convert polynomial model coefficients to state-space model matrices Recursive Polynomial Model Estimator - Estimate input-output and time-series polynomial model coefficients Minimum Jerk Polynomial Trajectory - Generate minimum jerk polynomial trajectories through multiple waypoints Minimum Snap Polynomial Trajectory - Generate minimum snap polynomial trajectories through multiple waypoints Polynomial Trajectory - Generate polynomial trajectories through waypoints RST Controller - Predictive control using a polynomial representation Minimum Jerk Polynomial Trajectory - Generate minimum jerk polynomial trajectories through multiple waypoints Minimum Snap Polynomial Trajectory - Generate minimum snap polynomial trajectories through multiple waypoints Nonlinear Rotational Spring - Torsional spring based on polynomial or table lookup parameterizations Nonlinear Translational Spring - Translational spring based on polynomial or table lookup parameterizations PCCCS - Polynomial current-controlled current source PCCCS2 - Polynomial current-controlled current source with two controlling inputs PCCVS - Polynomial current-controlled voltage source PCCVS2 - Polynomial current-controlled voltage source with two controlling inputs PVCCS - Polynomial voltage-controlled current source PVCCS2 - Polynomial voltage-controlled current source with two controlling inputs PVCVS - Polynomial voltage-controlled voltage source PVCVS2 - Polynomial voltage-controlled voltage source with two controlling inputs laurpoly - (To be removed) Laurent polynomials constructor
or from local install
>> lookfor polynomial
conv - Convolution and polynomial multiplication for tall arrays
polyfit - Fit polynomial to data.
polyval - Evaluate polynomial.
conv - Convolution and polynomial multiplication.
deconv - Deconvolution and polynomial division.
detrend - Remove a polynomial trend.
>>
>> ver
-----------------------------------------------------------------------------------------------------
MATLAB Version: 9.11.0.1873467 (R2021b) Update 3
MATLAB License Number: xxxxx
Operating System: Microsoft Windows 10 Pro Version 10.0 (Build 19045)
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
-----------------------------------------------------------------------------------------------------
MATLAB Version 9.11 (R2021b)
Curve Fitting Toolbox Version 3.6 (R2021b)
MATLAB Compiler Version 8.3 (R2021b)
Optimization Toolbox Version 9.2 (R2021b)
Signal Processing Toolbox Version 8.7 (R2021b)
Statistics and Machine Learning Toolbox Version 12.2 (R2021b)
>>
Matt J
Matt J on 14 Dec 2023
Edited: Matt J on 14 Dec 2023
Ran in:
Ran in:
Incidentally also, the output of "help polyfit" in R2023b (which you have marked as the version you are using) is not as you have shown it. Running it here shows different text, as below. Perhaps you have written your own version of polyfit?
help polyfit
POLYFIT Fit polynomial to data. P = POLYFIT(X,Y,N) finds the coefficients of a polynomial P(X) of degree N that fits the data Y best in a least-squares sense. P is a row vector of length N+1 containing the polynomial coefficients in descending powers, P(1)*X^N + P(2)*X^(N-1) +...+ P(N)*X + P(N+1). [P,S] = POLYFIT(X,Y,N) returns the polynomial coefficients P and a structure S for use with POLYVAL to obtain error estimates for predictions. S contains these fields: R - Triangular R factor (possibly permuted) from a QR decomposition of the Vandermonde matrix of X df - Degrees of freedom normr - Norm of the residuals If the data Y are random, an estimate of the covariance matrix of P is (Rinv*Rinv')*normr^2/df, where Rinv is the inverse of R. [P,S,MU] = POLYFIT(X,Y,N) finds the coefficients of a polynomial in XHAT = (X-MU(1))/MU(2) where MU(1) = MEAN(X) and MU(2) = STD(X). This centering and scaling transformation improves the numerical properties of both the polynomial and the fitting algorithm. Warning messages result if N is >= length(X), if X has repeated, or nearly repeated, points, or if X might need centering and scaling. Example: simple linear regression with polyfit % Fit a polynomial p of degree 1 to the (x,y) data: x = 1:50; y = -0.3*x + 2*randn(1,50); p = polyfit(x,y,1); % Evaluate the fitted polynomial p and plot: f = polyval(p,x); plot(x,y,'o',x,f,'-') legend('data','linear fit') Class support for inputs X,Y: float: double, single See also POLY, POLYVAL, ROOTS, LSCOV. Documentation for polyfit doc polyfit Other uses of polyfit codistributed/polyfit gpuArray/polyfit tall/polyfit
lazymatlab
lazymatlab on 14 Dec 2023
@Matt J I think I found something in my environment as you said. Reference page of polyfit in my laptop is displayed in Korean. (I am from Korea.) That's why lookfor fitting does not work. It also explains the result shown below. ("피팅" is "fitting" in Korean.)
>> lookfor 피팅
polyfit - Polynomial curve fitting
lazymatlab
lazymatlab on 14 Dec 2023
@Matt J That's weird... My installation is definitely R2023b and I do not have my own polyfit.
>> ver
-----------------------------------------------------------------------------------------------------
MATLAB Version: 23.2.0.2365128 (R2023b)
MATLAB License Number:
Operating System: Microsoft Windows 10 Pro Version 10.0 (Build 19045)
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
-----------------------------------------------------------------------------------------------------
>> help polyfit
polyfit - Polynomial curve fitting
This MATLAB function returns the coefficients for a polynomial p(x) of
degree n that is a best fit (in a least-squares sense) for the data in
y.
Syntax
p = polyfit(x,y,n)
[p,S] = polyfit(x,y,n)
[p,S,mu] = polyfit(x,y,n)
Steven Lord
Steven Lord on 14 Dec 2023
Ran in:
Ran in:
Let's see what polyfit.m files you have. What does this command show in your installation?
which -all polyfit
/MATLAB/toolbox/matlab/polyfun/polyfit.m /MATLAB/toolbox/matlab/bigdata/@tall/polyfit.m % tall method /MATLAB/toolbox/parallel/gpu/@gpuArray/polyfit.m % gpuArray method /MATLAB/toolbox/parallel/parallel/@codistributed/polyfit.m % codistributed method
You may not have the latter two if you don't have Parallel Computing Toolbox installed.
lazymatlab
lazymatlab on 14 Dec 2023
@Steven Lord
>> which -all polyfit
C:\Program Files\MATLAB\R2023b\toolbox\matlab\polyfun\polyfit.m
C:\Program Files\MATLAB\R2023b\toolbox\parallel\gpu\@gpuArray\polyfit.m % gpuArray method
C:\Program Files\MATLAB\R2023b\toolbox\matlab\bigdata\@tall\polyfit.m % tall method
C:\Program Files\MATLAB\R2023b\toolbox\parallel\parallel\@codistributed\polyfit.m % codistributed method
>>

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 Accepted Answer

Angelo Yeo
Angelo Yeo on 15 Dec 2023
Edited: Angelo Yeo on 15 Dec 2023

2 votes

Thank you for reporting this issue. I can reproduce the issue in a machine with Japanese locale. (Sorry, I don't have a Korean locale machine as of now.) Can you please reach out to Technical Support?
>> ver
---------------------------------------------------------------------------------------------------
MATLAB バージョン: 23.2.0.2365128 (R2023b)
MATLAB ライセンス番号: unknown
オペレーティング システム: Microsoft Windows 10 Enterprise Version 10.0 (Build 18363)
Java バージョン: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
---------------------------------------------------------------------------------------------------
>> lookfor curve fitting
IRFitOptions.FitType - Minimize by in curve fitting process
>> lookfor 曲線近似 % Note that 曲線近似 means curve fitting in Japanese
polyfit - Polynomial curve fitting
berfit - Fit curve to nonsmooth empirical BER data
fittype - Fit type for curve and surface fitting
prepareCurveData - Prepare data inputs for curve fitting
lsqcurvefit - Solve nonlinear curve-fitting (data-fitting) problems in least-squares sense
sftool - (Removed) Open Curve Fitting app
However "isprime" comes up with Japanese and English querying. This is strange, too.
>> lookfor 素数 % Note that 素数 menas prime
abs - Absolute value and complex magnitude
colperm - Sparse column permutation based on nonzero count
complex - Create complex array
cplxpair - Sort complex numbers into complex conjugate pairs
imag - Imaginary part of complex number
isprime - Determine which array elements are prime
isreal - Determine whether array uses complex storage
matlab.io.fits.readKeyCmplx - Keyword as complex scalar value
primes - Prime numbers less than or equal to input value
...
>> lookfor prime
isprime - Determine which array elements are prime
primes - Prime numbers less than or equal to input value
...

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lazymatlab
lazymatlab on 22 Dec 2023
Edited: lazymatlab on 22 Dec 2023
Thank you, @Angelo Yeo.
A few updates for this issue below:
  • lookfor fitting works fine if 1) Windows display language is Korean and 2) MATLAB Help language is English (Preferences - Help - Language).
  • If Windows display language is English, MATLAB Preferences do not have Language setting, both Desktop language and Help language. That's why I had to change Windows display language as Korean first.
  • I have always used English as Windows display language. Thus, I think, all my MATLABs never had Language settings. I have never known that I could change Help language until today I have found it.
  • But still mysterious is that my initial Help language was Korean, not English, even though OS language was English when MATLAB was being installed.

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lazymatlab
lazymatlab
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