Numerical Differentiation Toolbox

Functions and classes to evaluate derivatives, partial derivatives, gradients, directional derivatives, Jacobians, and Hessians.

Numerical Differentiation Toolbox

This toolbox supplies functions and classes to evaluate derivatives, partial derivatives, gradients, directional derivatives, Jacobians, and Hessians using the forward difference, central difference, and complex-step approximations of a derivative.

Installation

1. Download the toolbox from File Exchange or GitHub.
2. Open the INSTALL folder.
3. Double-click on Numerical Differentiation Toolbox.mltbx.

MATLAB will automatically perform the installation and add all the contents of the toolbox folder to the MATLAB search path. Alternatively, all of the functions in the toolbox folder can be used independently.

Documentation

Toolbox Documentation
Technical Documentation

To open the home page of the toolbox documentation in MATLAB, type the following in the Command Window:

doc_NDT

To open the documentation of a specific function or class with name name, type the following in the Command Window:

doc_NDT name

To open the technical documentation PDF (Numerical_Differentiation.pdf), type the following in the Command Window:

doc_NDT tech

Differentiator Class

D = Differentiator(method)

Central Difference Differentiation Functions

df = cderivative(f,x0)
pf = cpartial(f,x0,k)
g = cgradient(f,x0)
Dv = cdirectional(f,x0,v)
J = cjacobian(f,x0)
H = chessian(f,x0)
H = cvechessian(f,x0)

Forward Difference Differentiation Functions

df = fderivative(f,x0)
pf = fpartial(f,x0,k)
g = fgradient(f,x0)
Dv = fdirectional(f,x0,v)
J = fjacobian(f,x0)
H = fhessian(f,x0)
H = fvechessian(f,x0)

Complex-Step Differentiation Functions

df = iderivative(f,x0)
pf = ipartial(f,x0,k)
g = igradient(f,x0)
Dv = idirectional(f,x0,v)
J = ijacobian(f,x0)
H = ihessian(f,x0)
H = ivechessian(f,x0)

"Complexified" Functions

y = iabs(x)
z = iatan2(y,x)
z = iatan2d(y,x)
z = idot(x,y)
m = imax(x,y)
m = imin(x,y)
r = imod(a,n)
y = inorm(x)
r = irem(a,n)