📄 laplaciansecond.m
字号:
function laplacian = laplacianSecond(grid, data)
% laplacian: second order centered difference approx of the Laplacian.
%
% laplacian = laplacianSecond(grid, data)
%
% Computes a second order centered difference approximation to the Laplacian.
%
% \Delta \phi = \grad \dot \grad \phi
% = \grad^2 \phi
% = sum_i d^2 \phi / d x_i^2
%
% parameters:
% grid Grid structure (see processGrid.m for details).
% data Data array.
%
% laplacian Laplacian approximation (same size as data).
% Copyright 2004 Ian M. Mitchell (mitchell@cs.ubc.ca).
% This software is used, copied and distributed under the licensing
% agreement contained in the file LICENSE in the top directory of
% the distribution.
%
% Ian Mitchell, 02/02/04
% Current implementation uses hessianSecond, which also computes the
% second order mixed partial terms.
% If a good use is found for this routine, it would make sense to
% increase its efficiency by computing just the necessary second order terms.
%---------------------------------------------------------------------------
% Get the second derivative terms.
second = hessianSecond(grid, data);
%---------------------------------------------------------------------------
laplacian = second{1,1}
for i = 2 : grid.dim;
laplacian = laplacian + second{i,i};
end
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -