Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
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Results 1 - 10 of 25 found.
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csr2lm (Package: nloptr) :

The Controlled Random Search (CRS) algorithm (and in particular, the CRS2 variant) with the ‘local mutation’ modification.
● Data Source: CranContrib
● Keywords:
● Alias: crs2lm
● 0 images

varmetric (Package: nloptr) :

Shifted limited-memory variable-metric algorithm.
● Data Source: CranContrib
● Keywords:
● Alias: varmetric
● 0 images

check.derivatives (Package: nloptr) :

This function compares the analytic gradients of a function with a finite difference approximation and prints the results of these checks.
● Data Source: CranContrib
● Keywords: interface, optimize
● Alias: check.derivatives
● 0 images

cobyla (Package: nloptr) :

COBYLA is an algorithm for derivative-free optimization with nonlinear inequality and equality constraints (but see below).
● Data Source: CranContrib
● Keywords:
● Alias: cobyla
● 0 images

sbplx (Package: nloptr) :

Subplex is a variant of Nelder-Mead that uses Nelder-Mead on a sequence of subspaces.
● Data Source: CranContrib
● Keywords:
● Alias: sbplx
● 0 images

nloptr.print.options (Package: nloptr) :

This function prints a list of all the options that can be set when solving a minimization problem using nloptr.
● Data Source: CranContrib
● Keywords: interface, optimize
● Alias: nloptr.print.options
● 0 images

isres (Package: nloptr) :

The Improved Stochastic Ranking Evolution Strategy (ISRES) algorithm for nonlinearly constrained global optimization (or at least semi-global: although it has heuristics to escape local optima.
● Data Source: CranContrib
● Keywords:
● Alias: isres
● 0 images

auglag (Package: nloptr) :

The Augmented Lagrangian method adds additional terms to the unconstrained objective function, designed to emulate a Lagrangian multiplier.
● Data Source: CranContrib
● Keywords:
● Alias: auglag
● 0 images

nloptr.get.default.options (Package: nloptr) :

This function returns a data.frame with all the options that can be supplied to nloptr. The data.frame contains the default values of the options and an explanation. A user-friendly way to show these options is by using the function nloptr.print.options.
● Data Source: CranContrib
● Keywords: interface, optimize
● Alias: nloptr.get.default.options
● 0 images

bobyqa (Package: nloptr) :

BOBYQA performs derivative-free bound-constrained optimization using an iteratively constructed quadratic approximation for the objective function.
● Data Source: CranContrib
● Keywords:
● Alias: bobyqa
● 0 images