代码搜索:Generates

找到约 10,000 项符合「Generates」的源代码

代码结果 10,000
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m learn_map.m

seed = 1; rand('state', seed); randn('state', seed); obs_model = 'unique'; % each cell has a unique label (essentially fully observable) %obs_model = 'four'; % each cell generates 4 observation
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c faulty.c

/* * faulty.c -- a module which generates an oops when read * * Tested with 1.2 on the x86 * Tested with 2.0 on the x86, Sparc * */ #ifndef __KERNEL__ # define __KERNEL__ #endif #ifndef MODULE
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m learn_map.m

seed = 1; rand('state', seed); randn('state', seed); obs_model = 'unique'; % each cell has a unique label (essentially fully observable) %obs_model = 'four'; % each cell generates 4 observation
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c faulty.c

/* * faulty.c -- a module which generates an oops when read * * Tested with 1.2 on the x86 * Tested with 2.0 on the x86, Sparc * */ #ifndef __KERNEL__ # define __KERNEL__ #endif #ifndef MODULE
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java generateprimes.java

/** * This class Generates prime numbers up to a user specified maximum. * the algorithm used is the Sieve of Eratosthenes. * * Eratosthenes of Cyrene, b. c. 276 BC, Cyrene, Libya -- * d. c.
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c alg49.c

#include #include #include /* generates: original element sequence of first container: 0 1 2 3 4 5 6 7 8 9 original element sequence of second cont
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m dftopm.m

function B = dftopm(N,M) %DFTOPM generates a DFT operator matrix B such that the discrete 1D-Fourier % transform of a spatial vector x is given by X = B*x. The DFT is defined % in the same way as
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tcc mrmuldv.tcc

/* * Turbo C compiler V1.5+, Turbo/Borland C++. Microsoft C/C++ * Uses inline assembly feature * Generates code identical to above version, and * can be used instead. */ #define ASM
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m fmodany.m

function [y,iflaw]=fmodany(iflaw,t0); %FMODANY Signal with arbitrary frequency modulation. % [Y,IFLAW]=FMODANY(IFLAW,T0) generates a frequency modulated % signal whose instantaneous frequency law is a
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m randfilt.m

function [y,zf,u]=randfilt(pb,pa,ny,zi) %RANDFILT Generate filtered gaussian noise without initial transient % % Generates noise by passing gaussian noise through a filter pb/pa % output signal y