代码搜索：multidimensional
找到约 559 项符合「multidimensional」的源代码
代码结果 559
www.eeworm.com/read/469416/6976311
m normalise.m
function [M, z] = normalise(A, dim)
% NORMALISE Make the entries of a (multidimensional) array sum to 1
% [M, c] = normalise(A)
% c is the normalizing constant
%
% [M, c] = normalise(A, dim)
% I
www.eeworm.com/read/332978/7141663
java multidimwrapperarray.java
//: arrays/MultiDimWrapperArray.java
// Multidimensional arrays of "wrapper" objects.
import java.util.*;
public class MultiDimWrapperArray {
public static void main(String[] args) {
Inte
www.eeworm.com/read/454559/7387341
m lms_eq.m
% lms_eq.m - use multidimensional LMS algorithm to estimate channel response
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/449082/7518898
cs solving multidimensionalknapsackproblem.designer.cs
namespace DPH_Multidimensional_Knapsack_Problem
{
partial class DP
{
///
/// 設計工具所需的變數。
///
private System.ComponentModel.IContaine
www.eeworm.com/read/448526/7532124
m lms_eq.m
% lms_eq.m - use multidimensional LMS algorithm to estimate channel response
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/298613/7949439
m lms_eq.m
% lms_eq.m - use multidimensional LMS algorithm to estimate channel response
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/197588/7985220
m lms_eq.m
% lms_eq.m - use multidimensional LMS algorithm to estimate channel response
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/140957/13050897
m lms_eq.m
% lms_eq.m - use multidimensional LMS algorithm to estimate channel response
% written for MATLAB 4.0
%
% Input parameters:
% Xi : matrix of training/test points - each row is
www.eeworm.com/read/140851/13058812
m normalize.m
function [M, z] = normalise(A, dim)
% NORMALISE Make the entries of a (multidimensional) array sum to 1
% [M, c] = normalise(A)
% c is the normalizing constant
%
% [M, c] = normalise(A, dim)
% I
www.eeworm.com/read/140851/13058910
m normalise.m
function [M, z] = normalise(A, dim)
% NORMALISE Make the entries of a (multidimensional) array sum to 1
% [M, c] = normalise(A)
% c is the normalizing constant
%
% [M, c] = normalise(A, dim)
% I