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/328976/12991385
m ut.m
% UT - The Unscented Transform method of approximating noisy nonlinear
% functions of Gaussians as affine with Gaussian noise.
%
% Let f(x, z) be a vector-valued function where z is
www.eeworm.com/read/328976/12991410
m slamprob.m
% SLAMPROB - Description of a SLAM problem structure.
%
% This file describes SLAM problem structures, which are used in a
% number of functions. For example, SLAM2DPROB creates a SLAM problem
%
www.eeworm.com/read/242370/13009298
cpp vecprint.cpp
/*
* This file contains code from "C++ Primer, Fourth Edition", by Stanley B.
* Lippman, Jose Lajoie, and Barbara E. Moo, and is covered under the
* copyright and warranty notices given in that
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cpp vecprintmain.cpp
/*
* This file contains code from "C++ Primer, Fourth Edition", by Stanley B.
* Lippman, Jose Lajoie, and Barbara E. Moo, and is covered under the
* copyright and warranty notices given in that
www.eeworm.com/read/242370/13009370
cpp vec_init.cpp
/*
* This file contains code from "C++ Primer, Fourth Edition", by Stanley B.
* Lippman, Jose Lajoie, and Barbara E. Moo, and is covered under the
* copyright and warranty notices given in that
www.eeworm.com/read/242370/13009639
cpp screentest.cpp
/*
* This file contains code from "C++ Primer, Fourth Edition", by Stanley B.
* Lippman, Jose Lajoie, and Barbara E. Moo, and is covered under the
* copyright and warranty notices given in that
www.eeworm.com/read/242370/13009708
cpp vec_assign.cpp
/*
* This file contains code from "C++ Primer, Fourth Edition", by Stanley B.
* Lippman, Jose Lajoie, and Barbara E. Moo, and is covered under the
* copyright and warranty notices given in that
www.eeworm.com/read/326135/13163049
m bayesgauss.m
function d = bayesgauss(X, CA, MA, P)
%BAYESGAUSS Bayes classifier for Gaussian patterns.
% D = BAYESGAUSS(X, CA, MA, P) computes the Bayes decision
% functions of the n-dimensional patterns in
www.eeworm.com/read/241225/13163243
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,
%