Numerical Integration and Differentiation
Numerical integration functions can approximate the value of an integral whether or not the functional expression is known:
When you know how to evaluate the function, you can use
integralto calculate integrals with specified bounds.
To integrate an array of data where the underlying equation is unknown, you can use
trapz, which performs trapezoidal integration using the data points to form a series of trapezoids with easily computed areas.
For differentiation, you can differentiate an array of data using
gradient, which uses a finite difference formula to calculate numerical
derivatives. To calculate derivatives of functional expressions, you must use the
Symbolic Math Toolbox™
Integrate Functional Expressions
Integrate Numeric Data
Finite Difference Derivatives
- Integration to Find Arc Length
This example shows how to parametrize a curve and compute the arc length using
- Complex Line Integrals
This example shows how to calculate complex line integrals using the
'Waypoints'option of the
- Singularity on Interior of Integration Domain
This example shows how to split the integration domain to place a singularity on the boundary.
- Analytic Solution to Integral of Polynomial
This example shows how to use the
polyintfunction to integrate polynomial expressions analytically.
- Integration of Numeric Data
This example shows how to integrate a set of discrete velocity data numerically to approximate the distance traveled.
- Calculate Tangent Plane to Surface
This example shows how to approximate gradients of a function by finite differences.