CDFWavelet (Built-in Mathematica Symbol)

CDFWavelet[] represents a Cohen\[Dash]Daubechies\[Dash]Feauveau wavelet of type "9/7". CDFWavelet["type"] represents a Cohen\[Dash]Daubechies\[Dash]Feauveau wavelet of type " ...

StateFeedbackGains (Built-in Mathematica Symbol)

StateFeedbackGains[ss, {p_1, p_2, ..., p_n}] gives the state feedback gain matrix for the StateSpaceModel object ss such that the poles of the closed-loop system are p_i.

Tan (Built-in Mathematica Symbol)

Tan[z] gives the tangent of z.

Introduction to Advanced Numerical ... (Mathematica Tutorial)

The Mathematica function NDSolve is a general numerical differential equation solver. It can handle a wide range of ordinary differential equations (ODEs) as well as some ...

OpenCLFunctionLoad (OpenCLLink Symbol)

OpenCLFunctionLoad[prog, fun, argtypes, blockdims] loads fun from source code prog, returning an OpenCLFunction object.OpenCLFunctionLoad[{progfile}, fun, argtypes, ...

LogLogPlot (Built-in Mathematica Symbol)

LogLogPlot[f, {x, x_min, x_max}] generates a log-log plot of f as function of x from x_min to x_max. LogLogPlot[{f_1, f_2, ...}, {x, x_min, x_max}] generates log-log plots of ...

MathLink Development in C (Mac OS X) (Mathematica Tutorial)

This document describes how to compile and run MathLink programs written in the C language on Mac OS X systems. ("MathLink and External Program Communication" describes how ...

Trust Region Methods (Mathematica Tutorial)

A trust region method has a region around the current search point, where the quadratic model for "local minimization" is "trusted" to be correct and steps are chosen to stay ...

TruncatedDistribution (Built-in Mathematica Symbol)

TruncatedDistribution[{x_min, x_max}, dist] represents the distribution obtained by truncating the values of dist to lie between x_min and ...

Interpolation (Built-in Mathematica Symbol)

Interpolation[{f_1, f_2, ...}] constructs an interpolation of the function values f_i, assumed to correspond to x values 1, 2, ... . Interpolation[{{x_1, f_1}, {x_2, f_2}, ...