代码搜索：Problem
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www.eeworm.com/read/263516/11358768
m fm_opfsdr.m
function fm_opfsdr
%FM_OPFSDR solve the OPF-based electricity market problem by means of
% an Interior Point Method with a Merhotra Predictor-Corrector
% or Newton direction tech
www.eeworm.com/read/263516/11359161
m fm_opfm.m
function fm_opfm
%FM_OPFMR solves the OPF-based electricity market problem by means of
% an Interior Point Method with a Merhotra Predictor-Corrector
% or Newton direction techniqu
www.eeworm.com/read/347943/11626794
m feascpx.m
% FEASCPX Generates a random sparse optimization problem with
% linear, quadratic and semi-definite constraints. Output
% can be used by SEDUMI. Includes complex-valued data.
%
% The followi
www.eeworm.com/read/258739/11846010
m bookdemo.m
% PURPOSE : We address here a nonlinear non-Gaussian problem using
% the standard particle filtering algorithm.
% For more details refer to the introduction of our book:
% Sequential Monte Carlo in P
www.eeworm.com/read/153018/12066898
m unimodal.m
function B=unimodal(X,Y,Bold)
% Solves the problem min|Y-XB'| subject to the columns of
% B are unimodal and nonnegative. The algorithm is iterative
% If an estimate of B (Bold) is given only on
www.eeworm.com/read/253950/12173386
m demhmc1.m
%DEMHMC1 Demonstrate Hybrid Monte Carlo sampling on mixture of two Gaussians.
%
% Description
% The problem consists of generating data from a mixture of two
% Gaussians in two dimensions using a hybr
www.eeworm.com/read/253950/12173392
m demkmn1.m
%DEMKMEAN Demonstrate simple clustering model trained with K-means.
%
% Description
% The problem consists of data in a two-dimensional space. The data is
% drawn from three spherical Gaussian distri
www.eeworm.com/read/253950/12173537
m demknn1.m
%DEMKNN1 Demonstrate nearest neighbour classifier.
%
% Description
% The problem consists of data in a two-dimensional space. The data is
% drawn from three spherical Gaussian distributions with prio
www.eeworm.com/read/253950/12174215
m demmlp2.m
%DEMMLP2 Demonstrate simple classification using a multi-layer perceptron
%
% Description
% The problem consists of input data in two dimensions drawn from a
% mixture of three Gaussians: two of which
www.eeworm.com/read/340085/12182429
changes
Changes from version 1.0.0 to 1.0.1
- Added copyright lines in all files
- Added README file
- Added Changes file -- :)
- Added shortprint/ directory (we forgot about it)
- Fixed problem with sc