代码搜索：Compute
找到约 10,000 项符合「Compute」的源代码
代码结果 10,000
www.eeworm.com/read/392042/8365937
m compute_angle.m
function Y=compute_angle(X,Xsum,n)%Y是引力，斥力与x轴的角度向量,X是起点坐标，Xsum是目标和障碍的坐标向量,是(n+1)*2矩阵
for i=1:n+1%n是障碍数目
deltaXi=Xsum(i,1)-X(1)
deltaYi=Xsum(i,2)-X(2)
ri=sqrt(deltaXi^2+deltaYi^
www.eeworm.com/read/392042/8365943
m compute_attract.m
%引力计算
function [Yatx,Yaty]=compute_Attract(X,Xsum,k,angle)%输入参数为当前坐标，目标坐标，增益常数,分量和力的角度
%把路径上的临时点作为每个时刻的Xgoal
R=(X(1)-Xsum(1,1))^2+(X(2)-Xsum(1,2))^2;%路径点和目标的距离平方
r=sqrt(R);%路径点和目标的距离
%deltax=Xgoa
www.eeworm.com/read/392042/8365950
m compute_repulsion.m
%斥力计算
function [Yrerxx,Yreryy,Yataxx,Yatayy]=compute_repulsion(X,Xsum,m,angle_at,angle_re,n,Po)%输入参数为当前坐标，Xsum是目标和障碍的坐标向量，增益常数,障碍，目标方向的角度
Rat=(X(1)-Xsum(1,1))^2+(X(2)-Xsum(1,2))^2;%路径点和目标的距离平方
ra
www.eeworm.com/read/191566/8428198
m sc_compute.m
function [BH,mean_dist]=sc_compute(Bsamp,Tsamp,mean_dist,nbins_theta,nbins_r,r_inner,r_outer,out_vec);
% [BH,mean_dist]=sc_compute(Bsamp,Tsamp,mean_dist,nbins_theta,nbins_r,r_inner,r_outer,out_vec);
www.eeworm.com/read/189642/8464154
m compute_steering.m
function [G,iwp]= compute_steering(x, wp, iwp, minD, G, rateG, maxG, dt)
%function [G,iwp]= compute_steering(x, wp, iwp, minD, G, rateG, maxG, dt)
%
% INPUTS:
% x - true position
% wp - waypo
www.eeworm.com/read/189641/8464193
m compute_jacobians.m
function [zp,Hv,Hf,Sf]= compute_jacobians(particle, idf, R)
xv= particle.xv;
xf= particle.xf(:,idf);
Pf= particle.Pf(:,:,idf);
for i=1:length(idf)
dx= xf(1,i)-xv(1);
dy= xf(2,i)-xv(2
www.eeworm.com/read/189641/8464215
m compute_weight.m
function w= compute_weight(particle, z, idf, R)
[zp,Hv,Hf,Sf]= compute_jacobians(particle, idf, R);
Pv= particle.Pv;
v= z-zp;
v(2,:)= pi_to_pi(v(2,:));
w= 1;
for i=1:size(z,2)
S= Hv(:
www.eeworm.com/read/189641/8464224
m compute_weight.m
function w= compute_weight(particle, z, idf, R)
[zp,Hv,Hf,Sf]= compute_jacobians(particle, idf, R);
v= z-zp;
v(2,:)= pi_to_pi(v(2,:));
w= 1;
for i=1:size(z,2)
S= Sf(:,:,i);
den=
www.eeworm.com/read/189641/8464232
m compute_steering.m
function [G,iwp]= compute_steering(x, wp, iwp, minD, G, rateG, maxG, dt)
%
% INPUTS:
% x - true position
% wp - waypoints
% iwp - index to current waypoint
% minD - minimum distance to c
www.eeworm.com/read/289743/8530133
m compute_mapping.m
function [mappedA, mapping] = compute_mapping(A, type, no_dims, varargin)
%COMPUTE_MAPPING Performs dimensionality reduction on a dataset A
%
% mappedA = compute_mapping(A, type)
% mappedA = compu