# numDeriv-package

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##### Accurate Numerical Derivatives

Calculate (accurate) numerical approximations to derivatives.

Keywords
package
##### Details

The main functions are

grad	  to calculate the gradient (first derivative) of a scalar
real valued function (possibly applied to all elements
of a vector argument).jacobian  to calculate the gradient of a real m-vector valued
function with real n-vector argument.hessian   to calculate the Hessian (second derivative) of a scalar
real valued function with real n-vector argument.genD	  to calculate the gradient and second derivative of a
real m-vector valued function with real n-vector
argument.


##### References

Linfield, G. R. and Penny, J. E. T. (1989) Microcomputers in Numerical Analysis. New York: Halsted Press.

Fornberg, B. and Sloan, D, M. (1994) A review of pseudospectral methods for solving partial differential equations.'' Acta Numerica, 3, 203-267.

Lyness, J. N. and Moler, C. B. (1967) Numerical Differentiation of Analytic Functions.'' SIAM Journal for Numerical Analysis, 4(2), 202-210.

##### Aliases
• numDeriv-package
• numDeriv.Intro
Documentation reproduced from package numDeriv, version 2016.8-1.1, License: GPL-2

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