代码搜索：Gradient
找到约 2,951 项符合「Gradient」的源代码
代码结果 2,951
www.eeworm.com/read/365849/9844375
m initgradw.m
function obj=initgradw(obj)
% Intializes the gradient with respect to w. Used by, for instance, the EKF filter.
% The result is found in the 'gradw' property.
%
% Syntax: (* = optional)
%
% obj
www.eeworm.com/read/365849/9844448
m initgradx.m
function obj=initgradx(obj)
% Intializes the gradient with respect to x. Used by, for instance, the EKF filter.
% The result is found in the 'gradx' property.
%
% Syntax: (* = optional)
%
% obj
www.eeworm.com/read/365849/9844455
m initgradw.m
function obj=initgradw(obj)
% Intializes the gradient with respect to w. Used by, for instance, the EKF filter.
% The result is found in the 'gradw' property.
%
% Syntax: (* = optional)
%
% obj
www.eeworm.com/read/350746/10713424
m orideriv.m
function [varargout] = orieriv(varargin)
%
% ORIDERIV Calculates the image gradient using Optimized Rotation Invariance kernels.
%
% [gradx grady] = ORIDERIV(u) calculates the first order der
www.eeworm.com/read/462153/7208392
m divergencer.m
function [divF] = divergenceR(F,coeff)
% compute the divergence of the gradient of f
% multiplied by a diffusion coefficient
% backward difference scheme
%
% Copyright 2006 Paolo Favaro (p.favaro
www.eeworm.com/read/455033/7378954
edp mortar-dn-4-mpi.edp
assert(version>=2.23);
if ( mpisize != 4 )
{
cout
www.eeworm.com/read/195849/8126663
m frprmn.m
%| FUNCTION: frprmn
%|
%| PURPOSE: Given a starting point p[1..n], Fletcher-Reeves-Polak-Ribiere
%| minimization is performed on a function func, using its gradient
%|
www.eeworm.com/read/333410/12684471
m frprmn.m
%| FUNCTION: frprmn
%|
%| PURPOSE: Given a starting point p[1..n], Fletcher-Reeves-Polak-Ribiere
%| minimization is performed on a function func, using its gradient
%|
www.eeworm.com/read/331444/12827780
m imgradient.m
% [dx, dy] = imGradient(im, edges)
%
% Compute the gradient of the image using smooth derivative filters
% optimized for accurate direction estimation. Coordinate system
% corresponds to standard pi
www.eeworm.com/read/244378/12869929
m calcbasis.m
function [fparm,gparm,gradf,gradg]=calcbasis(parmvec)
%Evaluate the basis functiona and gradient at desired parameter point
%Input:
%Parmvec Varying matrix of varying parameter vectors, for ex