# Numerical Differentiation Toolbox

버전 7.1.4 (5.4 MB) 작성자:
Functions and classes to evaluate derivatives, partial derivatives, gradients, directional derivatives, Jacobians, and Hessians.
다운로드 수: 403
업데이트 날짜: 2022/11/30

# 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

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

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)`

### 인용 양식

Tamas Kis (2024). Numerical Differentiation Toolbox (https://github.com/tamaskis/Numerical_Differentiation_Toolbox-MATLAB/releases/tag/v7.1.4), GitHub. 검색됨 .

개발 환경: R2021b
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버전 게시됨 릴리스 정보
7.1.4

See release notes for this release on GitHub: https://github.com/tamaskis/Numerical_Differentiation_Toolbox-MATLAB/releases/tag/v7.1.4

7.1.3

See release notes for this release on GitHub: https://github.com/tamaskis/Numerical_Differentiation_Toolbox-MATLAB/releases/tag/v7.1.3

7.1.2

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7.1.1

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7.1.0

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7.0.3

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7.0.2

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7.0.1.0

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7.0.0.0

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6.4.0

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6.3.0

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6.2.0

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6.1.0

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6.0.2

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6.0.1

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6.0.0.0

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5.3.0

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5.2.1

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5.2.0

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5.1.1

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5.1.0

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5.0.2

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5.0.1

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5.0.0

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4.1.1

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4.1.0

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4.0.1

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4.0.0.0

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3.0.1

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3.0.0

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2.1.0

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2.0.1

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2.0.0.0

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1.1.0

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1.0.11

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1.0.10

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1.0.9

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1.0.8

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1.0.7.0

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1.0.6.0

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1.0.5

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1.0.4

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1.0.3.0

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1.0.2

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1.0.1

1.0.0.0

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