代码搜索:Vector
找到约 10,000 项符合「Vector」的源代码
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www.eeworm.com/read/458493/7295815
m xemx.m
function y = xemx(x)
% xemx Evaluate x*exp(-x), where x is a scalar or vector
y = x.*exp(-x);
www.eeworm.com/read/458488/7296049
m myarrow3.m
function myArrow3(x,y,z,u,v,w,headStyle,sf,c,axlim)
% myArrow3 Draw 3D arrows with filled head. Size and color of
% arrowhead can be specified
%
% Synopsis: myArrow3(x,y,z,u,v,w)
%
www.eeworm.com/read/458488/7296054
m myarrow.m
function myArrow(x,y,u,v,sc,c)
% myArrow Draw 2D arrows with filled tip(s).
% Head size and color can be specified
%
% Synopsis: myArrow(x,y,u,v);
% myArrow(x,y,u,v,s);
%
www.eeworm.com/read/458488/7296132
m odeeuler.m
function [t,y] = odeEuler(diffeq,tn,h,y0)
% odeEuler Euler's method for integration of a single, first order ODE
%
% Synopsis: [t,y] = odeEuler(diffeq,tn,h,y0)
%
% Input: diffeq = (string
www.eeworm.com/read/458488/7296143
m odemidpt.m
function [t,y] = odeMidpt(diffeq,tn,h,y0)
% odeMidpt Midpoint method for integration of a single, first order ODE
%
% Synopsis: [t,y] = odeMidpt(diffeq,tn,h,y0)
%
% Input: diffeq = (string
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m oderk4sys.m
function [t,y] = odeRK4sys(diffeq,tn,h,y0)
% odeRK4sys Fourth order Runge-Kutta method for systems of first order ODEs
% Nonvectorized version
%
% Synopsis: [t,y] = odeRK4sys(diffeq,t
www.eeworm.com/read/458488/7296191
m xemx.m
function y = xemx(x)
% xemx Evaluate x*exp(-x), where x is a scalar or vector
y = x.*exp(-x);
www.eeworm.com/read/457781/7317870
m zernfun2.m
function z = zernfun2(p,r,theta,nflag)
%ZERNFUN2 Single-index Zernike functions on the unit circle.
% Z = ZERNFUN2(P,R,THETA) returns the Pth Zernike functions evaluated
% at positions (R,THETA
www.eeworm.com/read/454266/7395450
readme
GENERAL DESCRIPTION
This directory contains a MATLAB program to solve a linear inverse
problem using Minimum Relative Entropy Inversion. The code is described in
Neupauer R.M. and B. Borchers, A MATL
www.eeworm.com/read/450608/7480161
m findnlab.m
%FINDNLAB Determine indices of specified classes (numeric)
%
% J = FINDNLAB(A,NLAB)
%
% INPUT
% A Dataset
% NLAB vector with numerical indices of reqested classes
%
% OUTPUT
%