Conversation
kshyatt
approved these changes
Jul 10, 2026
Member
Author
|
(Before releasing this, I will double-check the TensorKit + MPSKit tests locally, just to be sure) |
Codecov Report✅ All modified and coverable lines are covered by tests. 🚀 New features to boost your workflow:
|
Member
I would break this into two sentences, as it sounds there is forward mode rules for the exponential. We currently don't have AD rules for the exponential yet. |
Member
Author
|
Still have to wait a bit for this one - found some smaller issues in the tests. |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
MatrixAlgebraKit.jl v0.6.9
Feature release introducing the matrix
exponentialfunction and forward-mode AD rules.It includes a native, (LAPACK-free) Taylor implementation that works in arbitrary precision, and has forward-mode automatic-differentiation rules across the core decompositions.
Highlights
exponential/exponential!matrix function with selectable algorithms:MatrixFunctionViaLA(Padé viaLinearAlgebra),MatrixFunctionViaEig/MatrixFunctionViaEigh(via eigendecomposition), andDiagonalAlgorithm; also supports the scaledexponential((τ, A))form (#94).MatrixFunctionViaTaylor— LAPACK-free, the default for dense matrices, and the only path covering arbitrary-precision element types such asBigFloat(#243).eig/eigh, and SVD decompositions plus the projection /orth–nullfunctions, via the Enzyme and Mooncake extensions (#242, #244, #245, #247).Full Changelog
See CHANGELOG for the complete list of changes.