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www.eeworm.com/read/460435/7250431
m gendats.m
%GENDATS Generation of a simple classification problem of 2 Gaussian classes
%
% A = GENDATS (N,K,D,LABTYPE)
%
% INPUT
% N Dataset size, or 2-element array of class sizes (default: [50 50]
www.eeworm.com/read/460435/7250821
m gentrunk.m
%GENTRUNK Generation of Trunk's classification problem of 2 Gaussian classes
%
% A = GENTRUNK(N,K)
%
% INPUT
% N Dataset size, or 2-element array of class sizes (default: [50 50]).
% K
www.eeworm.com/read/458493/7295657
m legsn.m
function [f,dfdt] = legsn(theta)
% legsn Evaluate f(theta) and fprime(theta) for the picnic leg problem.
% Used with the Newton's method.
%
% Synopsis: [f,dfdt] = legsn(theta)
%
% Input
www.eeworm.com/read/458488/7296082
m legsn.m
function [f,dfdt] = legsn(theta)
% legsn Evaluate f(theta) and fprime(theta) for the picnic leg problem.
% Used with the Newton's method.
%
% Synopsis: [f,dfdt] = legsn(theta)
%
% Input
www.eeworm.com/read/456193/7355030
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 technique.
www.eeworm.com/read/454660/7385938
java lostmessagefound19.java
// exceptions/LostMessageFound19.java
// TIJ4 Chapter Exceptions, Exercise 19, page 479
// Repair the problem in LostMessage.java by guarding the call in the
// finally clause.
class VeryImporta
www.eeworm.com/read/454266/7395450
readme
GENERAL DESCRIPTION
This directory contains a MATLAB program to solve a linear inverse
problem using Minimum Relative Entropy Inversion. The code is described in
Neupauer R.M. and B. Borchers, A MATL
www.eeworm.com/read/453267/7423144
m lsvmk.m
function [iter, optCond, time, u] = ...
lsvmk(KM,D,nu,tol,maxIter,alpha);
% LSVMK Langrangian Support Vector Machine algorithm
% LSVMK solves a support vector machine problem using an iterati
www.eeworm.com/read/450608/7480087
m gendats.m
%GENDATS Generation of a simple classification problem of 2 Gaussian classes
%
% A = GENDATS (N,K,D,LABTYPE)
%
% INPUT
% N Dataset size, or 2-element array of class sizes (default: [50 50]
www.eeworm.com/read/448932/7521832
cpp 4568168_ce.cpp
////////////////////////////////////
// Problem ID:1036 User Id:Epic
// Memory 32K Time:200MS
////////////////////////////////////
#include
#include
#include