代码搜索：Vector
找到约 10,000 项符合「Vector」的源代码
代码结果 10,000
www.eeworm.com/read/480814/6661976
m mmono.m
function f=mmono(x)
%MMONO Test for Monotonic Vector.
% MMONO(X) where X is a vector returns:
% 2 if X is strictly increasing,
% 1 if X is non decreasing,
% -1 if X is non increasing,
%
www.eeworm.com/read/478348/6715181
m mmono.m
function f=mmono(x)
%MMONO Test for Monotonic Vector.
% MMONO(X) where X is a vector returns:
% 2 if X is strictly increasing,
% 1 if X is non decreasing,
% -1 if X is non increasing,
%
www.eeworm.com/read/477455/6735938
m tdma.m
function X = TDMA(A,D,C,B)
% Tridiagonal Matrix Algorithm（三对角阵算法）
%
% Function: to solve the Tridiagonal system CX=B, where C is a Tridiagonal matrix
%
% Input - A is the subdiagonal of the
www.eeworm.com/read/477110/6747886
m coriolis.m
%CORIOLIS Compute the manipulator Coriolis matrix
%
% C = CORIOLIS(ROBOT, Q, QD)
%
% Returns the n element Coriolis/centripetal torque vector at the specified
% pose and velocity.
% ROBOT is a robot
www.eeworm.com/read/477110/6747920
m itorque.m
%ITORQUE Compute the manipulator inertia torque
%
% TAUI = ITORQUE(ROBOT, Q, QDD)
%
% Returns the n-element inertia torque vector at the specified pose and
% acceleration, that is,
% TAUI = INERTIA(
www.eeworm.com/read/264430/11315277
readme
A Kalman filter C++ class, V 1.3
This class defines a Kalman filter object that is
designed to use any type of dynamical system, defined as a
Dynamics object. This information is passed to the
www.eeworm.com/read/409384/11329781
h string.h
/*************************************************************************
* *
* This program is free software; you can redistri
www.eeworm.com/read/264046/11331680
m sdp.m
function [fit,fitse,par,parse,zs,pars,parses,rsq,nvr,y0] = sdp(y,z,x,TVP,nvr,opts,P0,x0,nvr0,tab)
% SDP Non-parametric state dependent modelling (backfitting)
%
% [fit,fitse,par,parse,xs,pars,pars
www.eeworm.com/read/263889/11337695
m noiserschreiber.m
function xr=noiserSchreiber(x,K,L,r,repeat,auto)
%Syntax: xr=noiserSchreiber(x,K,L,r,repeat,auto)
%_______________________________________________
%
% Geometrical noise reduction for a time series
www.eeworm.com/read/263879/11338040
m plot.m
%二维图（一元函数图）
%用法 plot(x,y,s) 其中x,y为向量，每一对分量代表一个数据点。
% s为表示颜色、连线和标记选择的字符串
%图形的线型，标记，颜色均可设定，常用有
% 颜色 | 线型 标记
% --------------------- -