.TH "mlpack::optimization" 3 "Tue Sep 9 2014" "Version 1.0.10" "MLPACK" \" -*- nroff -*-
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.SH NAME
mlpack::optimization \- 
.SH SYNOPSIS
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.PP
.SS "Namespaces"

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.RI " \fBtest\fP"
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.SS "Classes"

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.RI "class \fBAugLagrangian\fP"
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.RI "\fIThe \fBAugLagrangian\fP class implements the Augmented Lagrangian method of optimization\&. \fP"
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.RI "class \fBAugLagrangianFunction\fP"
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.RI "\fIThis is a utility class used by \fBAugLagrangian\fP, meant to wrap a LagrangianFunction into a function usable by a simple optimizer like L-BFGS\&. \fP"
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.RI "class \fBAugLagrangianTestFunction\fP"
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.RI "\fIThis function is taken from 'Practical Mathematical Optimization' (Snyman), section 5\&.3\&.8 ('Application of the Augmented Lagrangian Method')\&. \fP"
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.RI "class \fBExponentialSchedule\fP"
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.RI "\fIThe exponential cooling schedule cools the temperature T at every step according to the equation\&. \fP"
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.RI "class \fBGockenbachFunction\fP"
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.RI "\fIThis function is taken from M\&. \fP"
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.RI "class \fBL_BFGS\fP"
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.RI "\fIThe generic L-BFGS optimizer, which uses a back-tracking line search algorithm to minimize a function\&. \fP"
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.RI "class \fBLovaszThetaSDP\fP"
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.RI "\fIThis function is the Lovasz-Theta semidefinite program, as implemented in the following paper: \fP"
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.RI "class \fBLRSDP\fP"
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.RI "\fI\fBLRSDP\fP is the implementation of Monteiro and Burer's formulation of low-rank semidefinite programs (LR-SDP)\&. \fP"
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.RI "class \fBLRSDPFunction\fP"
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.RI "\fIThe objective function that \fBLRSDP\fP is trying to optimize\&. \fP"
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.RI "class \fBSA\fP"
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.RI "\fISimulated Annealing is an stochastic optimization algorithm which is able to deliver near-optimal results quickly without knowing the gradient of the function being optimized\&. \fP"
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.RI "class \fBSGD\fP"
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.RI "\fIStochastic Gradient Descent is a technique for minimizing a function which can be expressed as a sum of other functions\&. \fP"
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.SH "Author"
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