v0.3.0

AbstractOperators v0.3.0

Diff since v0.2.2

Closed issues:

• possible test failure in upcoming Julia version 1.5 (#16)

Merged pull requests:

• Install TagBot as a GitHub Action (#14) (@JuliaTagBot)
• Set documenter version, switch to GitHub workflow for CI (#15) (@lostella)
• Fixing spelling mistake 'invertable'->'invertible' (#18) (@eviatarbach)
• Update Project.toml (#20) (@lostella)

v0.2.2

• deprecated Hadamard and NonLinearCompose in favour of Ax_mul_Bx and HadamardProd respectively #10
• added dims to DFT and IDFT #13

New calculus rules

New calculus rules:

• Ax_mul_Bx --> Generalizes NonLinearCompose
• Axt_mul_Bx
• Ax_mul_Bxt
• HadamardProd --> Generalizes Hadamard

Hadamard & NonLinearCompose will be deprecated in future versions of AbstractOperators.

Goodbye BlockArrays, welcome ArrayPartitions!

v0.2.0

fixed typo in README

Welcome Julia 1.0

Julia 1.0 update (#4)

* begin 0.7 transition: updated linearoperators

* updated travis and appveyor

* fixed LBFGS

* fixed LBFGS

* fixing linear calculus

* fixed warnings linear calc

* fixed nonlinear ops

* enabled syntax tests - deprecated (.*) with DiagOp

* nonlinear calculus working! all test passing :tada:

* updated readme and REQUIRE

* removed some commented code

* updated README and last 0.6 removals

[LAST Julia 0.6 compatible version]

New nonlinear operators & calculus rules (Hadamard and AffineAdd)

various bug-fixes

v0.0.5

added transparency to logo

v0.0.4

Fixed Broadcast, updated BlockArrays submodule.

v0.0.3

BlockArrays in module and more efficient Conv