📄 times.m
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function C = times(A,B)%TIMES Array multiplication for sparse tensors.%% TIMES(A,B) is called for the syntax 'A .* B' when A or B is a % sparse tensor. A and B must have the same size, unless one is a scalar.% A scalar can be multiplied by a sparse tensor of any size. %% See also SPTENSOR.%%MATLAB Tensor Toolbox.%Copyright 2007, Sandia Corporation. % This is the MATLAB Tensor Toolbox by Brett Bader and Tamara Kolda. % http://csmr.ca.sandia.gov/~tgkolda/TensorToolbox.% Copyright (2007) Sandia Corporation. Under the terms of Contract% DE-AC04-94AL85000, there is a non-exclusive license for use of this% work by or on behalf of the U.S. Government. Export of this data may% require a license from the United States Government.% The full license terms can be found in tensor_toolbox/LICENSE.txt% $Id: times.m,v 1.9 2007/01/10 01:27:31 bwbader Exp $%% Observations for sparse matrix case.% The result of a .* 5 is sparse.% The result of a .* 0 is sparse.% The result of a .* full(a) is sparse.%%if isscalar(B) C = sptensor(A.subs, A.vals * B, size(A)); return;endif isscalar(A) C = sptensor(B.subs, B.vals * A, size(B)); return;endif ~isequal(size(A),size(B)) error('Must be two tensors of the same size');endswitch class(B) case {'sptensor'} [csubs,ia,ib] = intersect(A.subs,B.subs,'rows'); cvals = A.vals(ia) .* B.vals(ib); C = sptensor(csubs, cvals, size(A)); return; case {'tensor'} csubs = A.subs; cvals = A.vals .* B(csubs); C = sptensor(csubs, cvals, size(A)); return; case {'ktensor'} csubs = A.subs; cvals = zeros(size(A.vals)); R = numel(B.lambda); N = ndims(A); for r = 1:R tvals = B.lambda(r) * A.vals; for n = 1:N v = B{n}(:,r); tvals = tvals .* v(csubs(:,n)); end cvals = cvals + tvals; end C = sptensor(csubs, cvals, size(A)); return; otherwise error('Invalid second argument for sptensor/times');end
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