代码搜索:Problem
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www.eeworm.com/read/174717/9575176
css normal.css
/*===== CSS theme file for CalendarXP 9.0 (Totally configurable) =====*/
/* NOTE: Better use numbered color values instead of literal ones, because opera has problem with the latter in certain cases.
www.eeworm.com/read/365346/9867441
m invprob.m
echo on
%--------------------------------------------------
% InvProb
% Example inverse geodetic problem. Computes
% azimuth, vertical angle and distance from 1st
% to 2nd point.
% 7 Jul 96
%
%
www.eeworm.com/read/361001/10069745
m writesdpa.m
% This function takes a problem in SeDuMi MATLAB format and writes it out
% in SDPA sparse format.
%
% Usage:
%
% ret=writesdpa(fname,A,b,c,K,pars)
%
% fname Name of SDPpack file
www.eeworm.com/read/360995/10069862
m dd_ex1.m
% DD_EX1
%
% Example of the creation of a One-Class problem, and the solutions
% obtained by the Nearest Neighbor Data Description and the Support
% Vector Data Description. Furthermore, the ROC curve
www.eeworm.com/read/359613/10134025
css normal.css
/*===== CSS theme file for CalendarXP 9.0 (Totally configurable) =====*/
/* NOTE: Better use numbered color values instead of literal ones, because opera has problem with the latter in certain cases.
www.eeworm.com/read/163079/10176281
c panic.c
/*
* linux/kernel/panic.c
*
* Copyright (C) 1991, 1992 Linus Torvalds
*/
/*
* This function is used through-out the kernel (includeinh mm and fs)
* to indicate a major problem.
*/
www.eeworm.com/read/358861/10177732
m clsq.m
function [c, n] = clsq (A, dim);
%CLSQ Special constrained least squares
%
% [c, n] = clsq (A, dim) solves the constrained
% least squares Problem
% A (c n)' == 0 subject t
www.eeworm.com/read/356682/10222972
m invprob.m
echo on
%--------------------------------------------------
% InvProb
% Example inverse geodetic problem. Computes
% azimuth, vertical angle and distance from 1st
% to 2nd point.
% 7 Jul 96
%
%
www.eeworm.com/read/425546/10348960
m demev1.m
%DEMEV1 Demonstrate Bayesian regression for the MLP.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by c
www.eeworm.com/read/425546/10349009
m demev3.m
%DEMEV3 Demonstrate Bayesian regression for the RBF.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by c