v0.16.5

RegularizedLeastSquares v0.16.5

Diff since v0.16.4

v0.16.4

RegularizedLeastSquares v0.16.4

Diff since v0.16.3

Merged pull requests:

• State-based multi-threading (#90) (@nHackel)
• Documentation Update (#92) (@nHackel)

Closed issues:

• CGNR relTol keyword expects Float64 (#54)
• Is CUDA supported? (#64)
• TV regularization with different lambdas for different parts of x (#89)

v0.16.3

RegularizedLeastSquares v0.16.3

Diff since v0.16.2

v0.16.2

RegularizedLeastSquares v0.16.2

Diff since v0.16.1

v0.16.1

RegularizedLeastSquares v0.16.1

Diff since v0.16.0

v0.16.0

RegularizedLeastSquares v0.16.0

Diff since v0.15.1

Merged pull requests:

• WIP: Test Solvers on JLArrays (#65) (@tknopp)
• Add GPU support based on (exchangable) structs for solver state (#81) (@nHackel)
• New version: v0.15.1 (#88) (@JakobAsslaender)

v0.15.1

RegularizedLeastSquares v0.15.1

Diff since v0.15.0

Merged pull requests:

• New version: v0.15.0 (#87) (@JakobAsslaender)

v0.15.0

RegularizedLeastSquares v0.15.0

Diff since v0.14.1

Merged pull requests:

• Allow the use of fully overlapping blocks for LLR (#82) (@SebastianFlassbeck)
• increase accuracy of power iterations and remove flag normalize_rho (#86) (@JakobAsslaender)

v0.14.1

RegularizedLeastSquares v0.14.1

Diff since v0.14.0

Merged pull requests:

• Small fixes (#83) (@jonschumacher)
• Fix dispatch on proximal map to correctly convert lambda to real(eltype(x)) (#84) (@nHackel)

v0.14.0

RegularizedLeastSquares v0.14.0

Diff since v0.13.0

Merged pull requests:

• Release 0.13.0 (#73) (@JakobAsslaender)
• LinearOperator based Weighting for Kaczmarz & CGNR (#74) (@nHackel)
• Tests and bugfix for PnP Regularizer (#77) (@atsanda)
• Issue warning when filtering kwargs (#79) (@jonschumacher)

Closed issues:

• Consolidate weighting (#58)
• Standard Kaczmarz not accepting enforcePositive and enforceReal (#80)