代码搜索：Reduction
找到约 701 项符合「Reduction」的源代码
代码结果 701
www.eeworm.com/read/158275/11628955
txt readme.txt
Microstep C program for National Semi LMD18245/PIC microstepping driver board.
Changlog
April 7, 2005 Added current reduction code, driver output current reduced
after 3 minutes
www.eeworm.com/read/347796/3163060
java nullfeaturefilter.java
package dragon.ir.clustering.featurefilter;
import dragon.ir.index.*;
/**
* A Null Feature Selector
* No feature reduction is done actually
* Copyright: Copyright (c) 2005
www.eeworm.com/read/268397/4252974
java nullfeaturefilter.java
package dragon.ir.clustering.featurefilter;
import dragon.ir.index.*;
/**
* A Null Feature Selector
* No feature reduction is done actually
* Copyright: Copyright (c) 2005
www.eeworm.com/read/406718/2273846
java hessenbergreducer.java
package org.jutil.math.matrix;
/**
* A class of matrix operators that compute the Hessenberg reduction
* of a matrix.
*
* @path $Source: /cvsroot/org-jutil/jutil.org/src/org/jutil/math/matrix/
www.eeworm.com/read/402654/2318669
sconscript
Import('opt_env check')
sources = Split("""vector1.cpp
vector2.cpp
vector_norm.cpp
vector_reduction.cpp
vector_min_max.cpp
www.eeworm.com/read/366702/2883018
c loop-18.c
/* A test for # of iterations estimation. We know that I does not overflow,
thus we can perform strength reduction (even though the 32-bit variable
i is first extended to 64-bit type). */
/*
www.eeworm.com/read/270032/11050573
c rgbvaryw.c
/*
rgbvaryW.c - an improved rgbvary.c, currently runs on Microsoft Windows
The color reduction filter (rgbvary.c) uses floating point but none
of the computations exceed a 16bit integer.
www.eeworm.com/read/102625/15764606
c monty.c
/*
Author: Pate Williams (c) 1997
Montgomery reduction. See "Handbook of Applied
Cryptography" by Alfred J. Menezes et al Section
14.3.2 pages 600 - 603.
*/
#include
#in
www.eeworm.com/read/389832/8496571
m mimo2t.m
% Program "mimo2t.m"
% Implementation of Node Reduction Algorithm.
% Calculates impedances of node-equivalent
% T-shaped two-port network.
% Input Parameters:
% - Number of internal and exte
www.eeworm.com/read/289743/8530125
m laplacian_eigen.m
function [mappedX, mapping] = laplacian_eigen(X, no_dims, k, sigma, eig_impl)
%LAPLACIAN_EIGEN Performs non-linear dimensionality reduction using Laplacian Eigenmaps
%
% [mappedX, mapping] = laplaci