For minimization problems for which the objective function is a sum of squares, it is often advantageous to use the special structure of the problem. Time and effort can be ...

This loads packages containing some test problems and utility functions. One of the first and simplest methods for solving initial value problems was proposed by Euler: ...

Mathematically, sufficient conditions for a local minimum of a smooth function are quite straightforward: x^* is a local minimum if ∇f(x^*)=0 and the Hessian ∇^2f(x^*) is ...

Mathematica provides direct access to a large volume of mathematical data, specially organized and created for Mathematica. The data is available in a wide range of forms ...

Word represents a word in Read, Find, and related functions.

Parallel kernels do not have access to the values of variables defined in the master kernel, nor do they have access to locally defined functions. Mathematica contains a ...

The connectivity and data-processing capabilities of Mathematica make it ideal for importing and analyzing data displayed on a website. In most cases, this is relatively ...

BrownForsytheTest[data] tests whether the variance of data is 1. BrownForsytheTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are ...

GeometricDistribution[p] represents a geometric distribution with probability parameter p.

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