代码搜索：Fast
找到约 10,000 项符合「Fast」的源代码
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www.eeworm.com/read/334836/12571058
h sexp.h
/**
SFSEXP: Small, Fast S-Expression Library version 1.0
Written by Matthew Sottile (matt@lanl.gov)
Copyright (2004). The Regents of the University of California. This material
was produced under U
www.eeworm.com/read/334836/12571062
c faststack.c
/**
SFSEXP: Small, Fast S-Expression Library version 1.0
Written by Matthew Sottile (matt@lanl.gov)
Copyright (2004). The Regents of the University of California. This material
was produced under U
www.eeworm.com/read/134896/13971263
m ivar.m
%IVAR Fast neighbourhood variance/kurtosis/skewness
%
% V = IVAR(IM, SE, OP)
% V = IVAR(IM, SE, OP, EDGE)
%
% Computes the specified statistic over the pixel neighbourhood
% which becomes the corresp
www.eeworm.com/read/134896/13971320
m ihist.m
%IHIST Image histogram (fast)
%
% ihist(image)
% h = ihist(image)
%
% Compute a greylevel histogram of IMAGE. Much faster than the builtin
% hist() function. The histogram is fixed with 256 bins spa
www.eeworm.com/read/235248/14080028
cpp operators.cpp
/* Operators.cpp
* Fast lookup for operators
* UnderC C++ interpreter
* Steve Donovan, 2001
* This is GPL'd software, and the usual disclaimers apply.
* See LICENCE
*/
#include
www.eeworm.com/read/204483/15337654
c ufft.c
/*
* fft.c
*
* Unix Version 2.4 by Steve Sampson, Public Domain, September 1988
*
* This program produces a Frequency Domain display from the Time Domain
* data input; using the Fast Fourier Tra
www.eeworm.com/read/203858/15350748
c malloc.c
/*
* malloc.c --- a general purpose kernel memory allocator for Linux.
*
* Written by Theodore Ts'o (tytso@mit.edu), 11/29/91
*
* This routine is written to be as fast as possible, so that it
*
www.eeworm.com/read/203482/15357933
m ivar.m
%IVAR Fast neighbourhood variance/kurtosis/skewness
%
% V = IVAR(IM, SE, OP)
% V = IVAR(IM, SE, OP, EDGE)
%
% Computes the specified statistic over the pixel neighbourhood
% which becomes the corresp
www.eeworm.com/read/203482/15357970
m ihist.m
%IHIST Image histogram (fast)
%
% ihist(image)
% h = ihist(image)
%
% Compute a greylevel histogram of IMAGE. Much faster than the builtin
% hist() function. The histogram is fixed with 256 bins spa
www.eeworm.com/read/202824/15372018
m ivar.m
%IVAR Fast neighbourhood variance/kurtosis/skewness
%
% V = IVAR(IM, SE, OP)
% V = IVAR(IM, SE, OP, EDGE)
%
% Computes the specified statistic over the pixel neighbourhood
% which becomes the corresp