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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 ...
Line Search Methods   (Mathematica Tutorial)
A method like "Newton's" method chooses a step, but the validity of that step only goes as far as the Newton quadratic model for the function really reflects the function. ...
 
InverseWaveletTransform   (Built-in Mathematica Symbol)
InverseWaveletTransform[dwd] gives the inverse wavelet transform of a DiscreteWaveletData object dwd.InverseWaveletTransform[dwd, wave] gives the inverse transform using the ...
LogitModelFit   (Built-in Mathematica Symbol)
LogitModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a binomial logistic regression model of the form 1/(1 + E -(\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + \ ...)) ...
ProbitModelFit   (Built-in Mathematica Symbol)
ProbitModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a binomial probit regression model of the form 1/2 (1 + erf((\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + \ ...
Parallel Evaluation   (Parallel Package Tutorial)
Recall that connections to remote kernels, as opened by LaunchKernels, are represented as kernel objects. See the chapter Connection Methods for details. The commands in this ...
ToCCodeString   (SymbolicC Package Symbol)
ToCCodeString[symbolicC] generates a string of C code from a symbolic C expression.
Reference   (SymbolicC Tutorial)
This section includes reference material on SymbolicC functionality. C expressions. Grouping constructs to hold entire statements.
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 ...
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