Community Profile

photo

Alex Sha


71 total contributions since 2019

Alex Sha's Badges

  • 6 Month Streak
  • Knowledgeable Level 2
  • Revival Level 2
  • First Answer

View details...

Contributions in
View by

Answered
Curve fitting by Genetic Algorithm
Rerfer the results below: Root of Mean Square Error (RMSE): 0.00353350868235726 Sum of Squared Residual: 0.00029965640659906 ...

2 hours ago | 0

Answered
What function fits my data...?
The follow function is much simple, but more better: y = x/(p1+p2*x)+p3 Root of Mean Square Error (RMSE): 0.313525722040886 S...

2 hours ago | 0

Answered
lsqcurvefit fitting not good
whether fminsearch or lsqcurvefit in Matlab use local optimization algorithms, it is why the initial start values are so importa...

1 day ago | 0

Answered
Fsolve- equation solved, inaccuracy [possible
If want all are positive, refer the results follow: x1: 0.0990335590812945 x2: 1.27592369827812E-11 x3: 650.000000000022 x4:...

2 days ago | 0

Answered
fitting scatter data into multiple cosine functions
So, an gao, what is the result you want? Unless you add range constraint for all parameters (except w), because there are trigon...

4 days ago | 0

Answered
fitting scatter data into multiple cosine functions
Hi, how about the results below, the fitting is perfect, the reason for you cann't get good result is more possible the bad init...

4 days ago | 0

Answered
Data fitting to the solution of coupled differential equation with all the different parameters.
if take initial conditions as: t=30,n=0.1178512,i=0; Root of Mean Square Error (RMSE): 0.00101378248364856 Sum of Squared Resi...

5 days ago | 0

Answered
Is it possible to provide initial guesses in cftool?
Yes, it is possible if using global optimization algorihms (the curve fitting functions built in Matlab, i.e. cftool, lsqcurvef...

5 days ago | 0

Answered
How to solve 4 equations with 4 unknowns using matlab
r1: 0.0269466666666667 r2: 2153.11111111111 r3: 2523.94560037811 r4: -2522.97254704477

7 days ago | 0

Answered
How to solve 5 equations with 5 unknowns
Numercial solution: a: 9.00473933649289 b: 1.18483412322275 c: 3.55450236966825 d: 1.54545454545455 e: 17.2

7 days ago | 0

Answered
How do I fit multiple curves with same fitting parameters?
How about the results follow: Parameter Best Estimate -------------------- ------------- b1 -1.42830819954452 b2 5...

7 days ago | 0

Answered
Lsqcurvefit / Lsqnonlin to electrical model. Bad fit problem
Have a try with the results as below: Parameter Best Estimate -------------------- ------------- x1 30060.922855124...

7 days ago | 0

Answered
Fit function and uncertainty
Hi, attach your data file please, if possible.

7 days ago | 0

Answered
Fitting Data for the given equations below?
seems too complicated for Matlab, the follows are the code of 1stOpt, another software package: Constant RT = 8.314E+3*299; Pa...

8 days ago | 0

Answered
Solve function with equations and inequations
There are too many numerical solutions: 1: x_1: 0.0219289963140093 x_2: -1.20176285580936 x_3: -33.4147964294915 x_4: 194.3...

8 days ago | 0

Answered
Damped harmonic motion curve fit
The fellow results are little better. Parameter Best Estimate ---------- ------------- b1 -1.36099782974822 b2 -599.11082464...

9 days ago | 0

Answered
Parameter identification with nlgreyest
Hi, would you please attach your data.

13 days ago | 0

Answered
Data fitting to the solution of coupled differential equation with all the different parameters.
Hi, Vira Roy, attached your data please, if possible.

13 days ago | 0

Answered
distribution fitting to data
Hi, you could try the combination of three Gauss function like below Root of Mean Square Error (RMSE): 2.2458311950253 Sum of ...

13 days ago | 0

Answered
Fsolve- equation solved, inaccuracy [possible
a set of approximate solutions: x1 0.0999971283199049 x2 -0.0143540751799935 x3 -1439252.41946883 x4 1439902.41946883 x5 -5...

14 days ago | 0

Answered
how to set initial guesses in Curve fitting to avoid the local minimum?
Experience + luck, no any other perfect way to set initial guesses. Another suggestion is to use some solvers which adopte glob...

16 days ago | 0

Answered
Curve fitting toolbox giving different answer to custom function?
Hi, AlexAS, I get the global solution as fellow: Root of Mean Square Error (RMSE): 23.9947153172582 Sum of Squared Residual:...

21 days ago | 0

Answered
How to fit experimental data on only one ordinary differential equations (out of multiple equations) with multiple unknown parametrs
How about the results below: Root of Mean Square Error (RMSE): 2.11836006576677 Sum of Squared Residual: 40.3870443141185 Cor...

24 days ago | 0

Answered
Nonlinear fit comparison - Matlab vs OriginLab
The global solution looks like below: Root of Mean Square Error (RMSE): 1.42818042380826 Sum of Squared Residual: 10.198496614...

26 days ago | 0

Answered
lsqcurvefit initial values stays the same
Have a look the results below, it is curve fitting of complex function: Root of Mean Square Error (RMSE): 0.41174673299835 Sum...

1 month ago | 0

| accepted

Answered
My gamultobj nonlinear constraints are being ignored
The global solution: Objective Function (Min.): 680.630057374403 x1: 2.33049949480739 x2: 1.95137240931401 x3: -0.4775410075...

1 month ago | 0

Answered
Bad fitting result using lsqcurvefit
Baron, LingoGlobal, Antigone, 1stOpt, those packages don't need to guess starting-values anymore, but with much better outcomes....

1 month ago | 0

Answered
Multi Objective nonlinear functions with unknown multi parameters
There are multi-solutions: 1: x1: 0.387245311047365 x2: -0.00972723068513297 x3: -40.2902696169456 x4: 18.9579782048437 x5...

2 months ago | 0

Answered
Fit differential equation to a curve
Here the answers: k1 0.0094812101885331 k2 0.0140787217305701

2 months ago | 0

Answered
how to fit 3d points with a non linear curve?
How about the fit function fellow: z = p1*exp(-0.5*(((x-p2)/p3)^2))+p4*exp(-0.5*(((y-p5)/p6)^2))+p7 Root of Mean Square Error ...

2 months ago | 0

| accepted

Load more