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Physical Constants Package   (Physical Constants Package Tutorial)
In addition to providing a comprehensive environment for calculations and a programming language, Mathematica is also a system for representing and presenting scientific and ...
ConfidenceLevel   (Built-in Mathematica Symbol)
ConfidenceLevel is an option for LinearModelFit and other fitting functions that specifies the confidence level to use in generating parameter and prediction intervals.
EstimatorGains   (Built-in Mathematica Symbol)
EstimatorGains[ss, {p_1, p_2, ..., p_n}] gives the estimator gain matrix for the StateSpaceModel object ss, such that the poles of the estimator are p_i.
VertexTextureCoordinates   (Built-in Mathematica Symbol)
VertexTextureCoordinates is an option for graphics primitives that specifies the texture coordinates to assign to vertices.
MLSeekToMark()   (Mathematica MathLink C Function)
MLMARK MLSeekToMark (MLINK link, MLMARK mark, int n) goes to the position n expressions after the specified mark on a link.
MLSetSignalHandler()   (Mathematica MathLink C Function)
int MLSetSignalHandler (MLENV env, int s, void *sa) installs the Unix signal handler detailed in the object sa for signal s in the MathLink library signal-handling mechanism.
GraphCoordinates3D   (Graph Utilities Package Symbol)
GraphCoordinates3D[g, options] calculates a visually appealing 3D layout of the vertices of a graph g and returns the coordinates of the vertices.
CharacteristicPolynomial   (Built-in Mathematica Symbol)
CharacteristicPolynomial[m, x] gives the characteristic polynomial for the matrix m. CharacteristicPolynomial[{m, a}, x] gives the generalized characteristic polynomial with ...
Circle   (Built-in Mathematica Symbol)
Circle[{x, y}, r] is a two-dimensional graphics primitive that represents a circle of radius r centered at the point x, y. Circle[{x, y}] gives a circle of radius 1. ...
DiscreteConvolve   (Built-in Mathematica Symbol)
DiscreteConvolve[f, g, n, m] gives the convolution with respect to n of the expressions f and g. DiscreteConvolve[f, g, {n_1, n_2, ...}, {m_1, m_2, ...}] gives the ...
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