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C = tmult(A, B) is equivalent to:
sz = [size(B) 1];
sz(1) = size(A, 1);
C = zeros(sz);
for a = 1:prod(sz(3:end))
C(:,:,a) = A(:,:,a) * B(:,:,a);
end
but is completely vectorized, so much faster. Tmult also supports bsxfun-style expansion of singular dimensions where appropriate, such that tmult(rand(4, 3, 10), rand(3, 2)) yields a 4x2x10 output.
Cite As
Oliver Woodford (2026). Tensor matrix multiply (https://se.mathworks.com/matlabcentral/fileexchange/61754-tensor-matrix-multiply), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (2.58 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
