TPROD -- arbitary tensor products between n-d arrays

TPROD -- efficiently allows any type of tensor product between 2 multi-dimensional arrays
Updated 17 Nov 2021


Matlab library for simple tensor operations using Einstein summation convention semantics

This function computes a generalized multi-dimensional matrix product based upon the einstein summation convention (plus extras). This means given 2 n-d inputs:

X = [ A x B x C x E .... ] Y = [ D x F x G x H .... ]

we define the result, Z, to be (in ESC) Z_{c,e,d,f} = X_{a,b,c,e} Y_{d,f,a,b}

(N.B. This syntax can be used directly with the etprod wrapper script).

This translates into tprod syntax as: Z = tprod(X,[-1 -2 1 2],Y,[3 4 -1 -2])

N.B. if Y==[], then it is assumed to be a copy of X.

This result is produced by forming an inner-product (multiply+sum) for the pairs of dimensions which have the same (negative) label (i.e. -1 => X dim 1 and Y dim 3, and -2 => X dim 2 and Y dim 4) and forming an outer product for all the remaining dimensions, with the positive label determining where this dimension is placed in the output.

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Cite As

Jason Farquhar (2024). TPROD -- arbitary tensor products between n-d arrays (, GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2021b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes

See release notes for this release on GitHub:

Updated the examples in tprod.m to show the equlivalent matlab code, and to include more complex examples

(Another) fix to make it compile with pedantic c-compilers, e.g. lcc.

Updated to work with very restrictive C dialects (such as LCC's) -- particularly when used on windows.

Bug fixes -- 1) problem with certain unusual calling orders.
2) compilation with lcc

A couple of bug-fixes to prevent memory management errors

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.