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----------------------------- exp-09.pjt - Debug ----------------------------- "C:\TI54\C5400\CGTOOLS\BIN\cl500" -g -q -fr"d:/algorithm/exp-da/exp-09/Debug" -d"_DEBUG" -@"exp-09/Debug.lkf" "Da.asm"

-z -q -c -o"./Debug/exp-09.out" -x -i"c:/ti54/c5400/bios/lib" -i"c:/ti54/c5400/rtdx/lib" -i"c:/ti54/c5400/cgtools/lib" "d:\algorithm\exp-da\exp-09\Debug\Da.obj" "d:\algorithm\exp-da\exp-09\Debug\exp

% Pre-image problem for RBF kernel. % % rbfpreimg - Schoelkopf's fixed-point algorithm. % rbfpreimg2 - Gradient optimization. % rbfpreimg3 - Kwok-Tsang's algorithm. % % About: Statistical Pattern

%%%%%ARTIFICIAL BEE COLONY ALGORITHM%%%% %Artificial Bee Colony Algorithm was developed by Dervis Karaboga in 2005 %by simulating the foraging behaviour of bees. %Copyright

function model=ekozinec(data,options,init_model) % EKOZINEC Kozinec's algorithm for eps-optimal separating hyperplane. % % Synopsis: % model = ekozinec(data) % model = ekozinec(data,options) % mode

% Separation of finite sets of vectors % % ekozinec - Kozinec's algorithm for eps-optimal separating hyperplane. % mperceptron - Perceptron algorithm to train linear machine. % perceptron - Perc

function model=ekozinec(data,options,init_model) % EKOZINEC Kozinec's algorithm for eps-optimal separating hyperplane. % % Synopsis: % model = ekozinec(data) % model = ekozinec(data,options) % mode

% Algorithms learning linear classifiers from finite vector sets. % % ekozinec - Kozinec's algorithm for eps-optimal separating hyperplane. % ekozinec2 - Kozinec's algorithm for eps-optimal separ

/* A program to perform Euclid's Algorithm to compute gcd. */ int gcd( int u, int v ) { if( v == 0 ) return u; else return gcd( v, u-u/v*v); /* u-u/v*v == u mod v */ } void ma

#include #include #include #include #include #include"graphlink.h" using namespace std; int main() { Graph g1("data.txt"); vector