代码搜索：Generators

找到约 1,542 项符合「Generators」的源代码

代码结果 1,542
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c random.c

/* * * Rand.c * * - linear and additive congruential random number generators * (see R. Sedgewick, Algorithms, Chapter 35) * * Implementation: R. Fuchs, EMBL Data Library, 1991 * */ #inc
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c random.c

/* * * Rand.c * * - linear and additive congruential random number generators * (see R. Sedgewick, Algorithms, Chapter 35) * * Implementation: R. Fuchs, EMBL Data Library, 1991 * */ #inc
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c rand-test.c

/* RAND-TEST.C - Program to test random number generators. */ /* Copyright (c) 1995 by Radford M. Neal * * Permission is granted for anyone to copy, use, or modify this program * for purposes of
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m nefcrea.m

function nefcrea(num, gen, contr) %NEFCREA Create new nefcon simulink blocks and Signal-Generators % num = number of inputs % gen = selected generator (1 Nefcon, 2 bounded) % c
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htm ch18_05.htm

Code Generators (Programming Perl)
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py sparse_set.py

# SparseSet is meant to act just like a set object, but without actually # storing discrete values for every item in the set # # by Greg Hazel from __future__ import generators from bisect import bi
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c random.c

/* * * Rand.c * * - linear and additive congruential random number generators * (see R. Sedgewick, Algorithms, Chapter 35) * * Implementation: R. Fuchs, EMBL Data Library, 1991 * */ #include
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c rg_rand.c

/* +++Date last modified: 05-Jul-1997 */ /* ** longrand() -- generate 2**31-2 random numbers ** ** public domain by Ray Gardner ** ** based on "Random Number Generators: Good Ones Are Hard
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c rg_rand.c

/* ** random.c -- "Minimal Standard" integer random number generator ** ** based on "Random Number Generators: Good Ones Are Hard to Find", ** S.K. Park and K.W. Miller, Communications of the A
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c pi_mc.c

/* NAME: Pi_mc: PI Monte Carlo Purpose: This program uses a Monte Carlo algorithm to compute PI as an example of how random number generators are used to solve problems. Note th
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