代码搜索:fprintf
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www.eeworm.com/read/492695/6419411
m example43_run_b2.m
function demsvm1()
%
X = [2 7; 3 6; 2 2; 8 1; 6 4; 4 8; 9 5; 9 9; 9 4; 6 9; 7 4];
Y = [ +1; +1; +1; +1; +1; -1; -1; -1; -1; -1; -1];
% define a simple artificial data set
x1ran =
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m example43_run_b3.m
function demsvm1()
%
X = [2 7; 3 6; 2 2; 8 1; 6 4; 4 8; 9 5; 9 9; 9 4; 6 9; 7 4];
Y = [ +1; +1; +1; +1; +1; -1; -1; -1; -1; -1; -1];
% define a simple artificial data set
x1ran =
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m example43_run_b4.m
function demsvm1()
%
X = [2 7; 3 6; 2 2; 8 1; 6 4; 4 8; 9 5; 9 9; 9 4; 6 9; 7 4];
Y = [ +1; +1; +1; +1; +1; -1; -1; -1; -1; -1; -1];
% define a simple artificial data set
x1ran =
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m example43_run_a.m
%svm3
%%===============
%%===============
% run_a
function demsvm1()
%
X = [2 7; 3 6; 2 2; 8 1; 6 4; 4 8; 9 5; 9 9; 9 4; 6 9; 7 4];
Y = [ +1; +1; +1; +1; +1; -1; -1; -1; -1; -1
www.eeworm.com/read/492695/6419620
m example43_run_b1.m
function demsvm1()
%
X = [2 7; 3 6; 2 2; 8 1; 6 4; 4 8; 9 5; 9 9; 9 4; 6 9; 7 4];
Y = [ +1; +1; +1; +1; +1; -1; -1; -1; -1; -1; -1];
% define a simple artificial data set
x1ran =
www.eeworm.com/read/488978/6481021
c msf.c
/*****************************************************************
* HMMER - Biological sequence analysis with profile HMMs
* Copyright (C) 1992-2003 Washington University School of Medicine
* All
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c sba_lapack.c
/////////////////////////////////////////////////////////////////////////////////
////
//// Linear algebra operations for the sba package
//// Copyright (C) 2004-2008 Manolis Lourakis (lourakis at
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m demse5.m
% DEMSE4 Bearing and Frequency Tracking Example
%
% This demonstrates the use of the Sigma-Point Particle Filter on the classic
% HARD bearing and frequency tracking problem.
%
% This example i
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m demopt1.m
function demopt1(xinit)
%DEMOPT1 Demonstrate different optimisers on Rosenbrock's function.
%
% Description
% The four general optimisers (quasi-Newton, conjugate gradients,
% scaled conjugate gradien
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m ex08ch2.m
function ex08ch2
% Investigate zero stability for two third order formulas.
% Apply them to y' = -y, y(0) = 1 on [0,1] with step size
% h = 1/2^i for i = 2:10 and starting values taken from
% the anal