代码搜索:average

找到约 5,196 项符合「average」的源代码

代码结果 5,196
www.eeworm.com/read/238632/13871081

m hoffmann.m

function b = hoffmann(Ea0,Ea,Ew,walkers,T,step,maxsteps,C) % Equilibration method supplied with SA Tools. % Copyright (c) 2002, by Richard Frost and Frost Concepts. % See http://www.frostconcepts.c
www.eeworm.com/read/238481/13883753

out wsat.tmp.out

walksat version 35 (Huge) command line = ./walksat -seed 1 -solcnf -cutoff 100000000 seed = 1 cutoff = 100000000 tries = 10 heuristic = best, noise 50 / 100 tail starts after flip = 60000 numatom = 20
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lst 5-2.lst

C51 COMPILER V7.09 5_2 06/18/2004 09:17:04 PAGE 1 C51 COMPILER V7.09, COMPILATION OF MODULE 5_2 OBJECT MODULE PLACED IN 5-2
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c 5-2.c

#include "stdio.h" struct student {char name[8]; int score[3]; float avr; }stu[2]; void main() { int xdata i, j, max, maxi, sum; float average; for(i=0; i
www.eeworm.com/read/140727/5782232

cc filt_06.cc

// file: $isip/class/algo/Filter/filt_06.cc // version: $Id: filt_06.cc,v 1.8 2002/07/16 02:00:31 gao Exp $ // // isip include files // #include "Filter.h" // method: setMACoeffs // // arguments:
www.eeworm.com/read/135758/5878674

java binarypeakfinder.java

/* * YALE - Yet Another Learning Environment * Copyright (C) 2001-2004 * Simon Fischer, Ralf Klinkenberg, Ingo Mierswa, * Katharina Morik, Oliver Ritthoff * Artificial
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java averagemodel.java

/* * YALE - Yet Another Learning Environment * Copyright (C) 2001-2004 * Simon Fischer, Ralf Klinkenberg, Ingo Mierswa, * Katharina Morik, Oliver Ritthoff * Artificial
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java estimatedcriteriontest.java

/* * YALE - Yet Another Learning Environment * Copyright (C) 2001-2004 * Simon Fischer, Ralf Klinkenberg, Ingo Mierswa, * Katharina Morik, Oliver Ritthoff * Artificial
www.eeworm.com/read/135582/5886198

c sc.c

#include #include "bitvector.h" #include "matrix.h" #include "util.h" #include "sc.h" #include "stdio.h" #include "stdlib.h" #include "math.h" #include "zdebug.h" #define EPS (1.0e-6) /*
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c sc.c

/*********************************************************************** sc.c - creates classifiers from feature vectors of examples, as well as classifying example feature vectors. Copyright (C)