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Number Recognition   (Mathematica Guide)
A core activity in exploratory experimental mathematics is recognition of numbers: going backward from a number to find out how it can be generated. Mathematica provides ...
The Representation of Solution Sets   (Mathematica Tutorial)
Any combination of equations or inequalities can be thought of as implicitly defining a region in some kind of space. The fundamental function of Reduce is to turn this type ...
Boole   (Built-in Mathematica Symbol)
Boole[expr] yields 1 if expr is True and 0 if it is False.
Introduction to Solving Nonlinear ...   (Mathematica Tutorial)
There are some close connections between finding a "local minimum" and solving a set of nonlinear equations. Given a set of n equations in n unknowns, seeking a solution r(x) ...
LinearSolve   (Built-in Mathematica Symbol)
LinearSolve[m, b] finds an x which solves the matrix equation m.x == b. LinearSolve[m] generates a LinearSolveFunction[...] which can be applied repeatedly to different b.
Advanced Matrix Operations   (Mathematica Tutorial)
Finding singular values and norms of matrices. The singular values of a matrix m are the square roots of the eigenvalues of m.m^*, where * denotes Hermitian transpose. The ...
Some Notes on Internal Implementation   (Mathematica Tutorial)
General issues about the internal implementation of Mathematica are discussed in "The Internals of Mathematica". Given here are brief notes on particular features. These ...
PrivateNotebookOptions   (Built-in Mathematica Symbol)
PrivateNotebookOptions -> {opt_1 -> val_1, opt_2 -> val_2, ...} is an option for notebooks that specifies various low-level notebook settings.
Benchmarking Package   (Benchmarking Package Tutorial)
This package contains functions for measuring the performance of Mathematica on your computer and for producing a comparison report that includes benchmark results for other ...
Matrix Decompositions   (Mathematica Guide)
 
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