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The Algorithms of Mathematica   (Mathematica Tutorial)
The built-in functions of Mathematica implement a very large number of algorithms from computer science and mathematics. Some of these algorithms are fairly old, but the vast ...
WeightingFunction   (Combinatorica Package Symbol)
WeightingFunction is an option to the functions SetEdgeWeights and SetVertexWeights that tells the functions how to compute edge weights and vertex weights, respectively.
TrigToRadicals   (Developer Package Symbol)
TrigToRadicals[expr] converts trigonometric functions to radicals whenever possible in expr.
Feature Detection   (Mathematica Guide)
Using a variety of state-of-the-art methods, Mathematica provides immediate functions for detecting and extracting features in images and other arrays of data. Mathematica ...
Graph Operations and Modifications   (Mathematica Guide)
A graph with a certain property can often be built starting from another graph. They may be a subgraph of a larger graph, they can be incrementally modified by deleting or ...
ByteOrdering   (Built-in Mathematica Symbol)
ByteOrdering is an option for BinaryRead, BinaryWrite, and related functions that specifies what ordering of bytes should be assumed for your computer system.
IgnoreCase   (Built-in Mathematica Symbol)
IgnoreCase is an option for string manipulation and searching functions that specifies whether lowercase and uppercase letters should be treated as equivalent.
MaxMixtureKernels   (Built-in Mathematica Symbol)
MaxMixtureKernels is an option for SmoothKernelDistribution and related functions that specifies the maximum number and location of kernel functions to use in the estimation.
Introduction to Systems of ODEs   (Mathematica Tutorial)
Systems of ODEs are important in various fields of science, such as the study of electricity and population biology. Like single ODEs, systems of ODEs can classified as ...
Perform a Linear Regression   (Mathematica How To)
One of the most common statistical models is the linear regression model. A linear model predicts the value of a response variable by the linear combination of predictor ...
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