v0.1.15

SciMLOperators v0.1.15

Diff since v0.1.14

Merged pull requests:

• function operator multidim (#99) (@vpuri3)

v0.1.14

SciMLOperators v0.1.14

Diff since v0.1.13

Closed issues:

• overload SparseArrays.issparse (#107)

Merged pull requests:

• doc cov (#100) (@ArnoStrouwen)
• [skip ci] badges (#101) (@ArnoStrouwen)
• Add Invalidations.yml [skip ci] [skip tests] (#103) (@devmotion)
• some missing methods (#105) (@vpuri3)

v0.1.13

SciMLOperators v0.1.13

Diff since v0.1.12

Merged pull requests:

• allow functionoperator to specify both in-place/ out-of-place mode (#96) (@vpuri3)

v0.1.12

SciMLOperators v0.1.12

Diff since v0.1.11

Merged pull requests:

• small fix (#97) (@vpuri3)

v0.1.11

SciMLOperators v0.1.11

Diff since v0.1.10

Merged pull requests:

• rm diffeqbase dependency (#95) (@vpuri3)

v0.1.10

SciMLOperators v0.1.10

Diff since v0.1.9

Closed issues:

• GPU compatibility (#73)

Merged pull requests:

• Zygote gradient tests (#94) (@vpuri3)

v0.1.9

SciMLOperators v0.1.9

Diff since v0.1.8

Closed issues:

• remove _reshape, _vec (#91)

Merged pull requests:

• replace copy with similar for performance (#90) (@vpuri3)
• using Base.ReshapedArray is unnecessary (#92) (@vpuri3)
• fix addvector (#93) (@vpuri3)

v0.1.8

SciMLOperators v0.1.8

Diff since v0.1.7

Merged pull requests:

• resolve method ambiguity (#89) (@vpuri3)

v0.1.7

SciMLOperators v0.1.7

Diff since v0.1.6

Closed issues:

• support kwargs in update_coefficients! (#87)

Merged pull requests:

• bug fix (#88) (@vpuri3)

v0.1.6

SciMLOperators v0.1.6

Diff since v0.1.5

Closed issues:

• update_coefficients! currently broken, probably needs mutable structs (#56)
• hoist out scaling in tensor product, composition (#61)
• Avoid permutedims! in TensorProductOperator whenever possible (#63)
• potential bug - mistaken operator fusion (#66)
• short circuit ScalarOperator if iszero(L.\lambda) (#71)
• Batched Operators (#81)

Merged pull requests:

• Batched Diagonal Operator (#82) (@vpuri3)
• Fix Update Behaviour (#83) (@vpuri3)
• reshape of reshape is not a strided array (#85) (@vpuri3)