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Numerical Nonlinear Local Optimization   (Mathematica Tutorial)
Numerical algorithms for constrained nonlinear optimization can be broadly categorized into gradient-based methods and direct search methods. Gradient search methods use ...
Specifying Derivatives   (Mathematica Tutorial)
The function FindRoot has a Jacobian option; the functions FindMinimum, FindMaximum, and FindFit have a Gradient option; and the "Newton" method has a method option Hessian. ...
New in 8.0: Data Manipulation   (Mathematica Guide)
Building on Mathematica's extensive data manipulation capabilities, Mathematica 8 adds a wide range of new import and export features, advanced image processing algorithms, ...
Work with Nested Lists   (Mathematica How To)
Nested lists are lists within a list; they are the principal structure for data in Mathematica and allow for high-dimension arrays and ragged datasets as well as common uses ...
MachinePrecision   (Built-in Mathematica Symbol)
MachinePrecision is a symbol used to indicate machine-number precision.
GXL   (Mathematica Import/Export Format)
GXL graph data format. Used for the storage and exchange of graphs. GXL is an acronym derived from Graph Exchange Language. XML-based format. Represents typed, attributed, ...
PopupView   (Built-in Mathematica Symbol)
PopupView[{expr_1, expr_2, ...}] represents an object which displays as a popup menu whose items are the expr_i.PopupView[{expr_1, expr_2, ...}, i] makes the i\[Null]^th ...
Audio Package   (Audio Package Tutorial)
This package provides functions for the generation of standard waveforms and waveforms with user-specified spectra, the synthesis of amplitude and frequency modulated ...
IsotopeData   (Built-in Mathematica Symbol)
IsotopeData[{Z, A}, " property"] gives the value of the specified property for the isotope with atomic number Z and mass number A.IsotopeData["name", " property"] gives the ...
NegativeBinomialDistribution   (Built-in Mathematica Symbol)
NegativeBinomialDistribution[n, p] represents a negative binomial distribution with parameters n and p.
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