v0.16.10

RegularizedLeastSquares v0.16.10

Diff since v0.16.9

v0.16.9

RegularizedLeastSquares v0.16.9

Diff since v0.16.8

Merged pull requests:

• Add Greedy Kaczmarz variant (#101) (@nHackel)

v0.16.8

RegularizedLeastSquares v0.16.8

Diff since v0.16.7

Merged pull requests:

• Dont mutate input vector of reg. terms (#100) (@nHackel)

v0.16.7

RegularizedLeastSquares v0.16.7

Diff since v0.16.6

• Update GPU Kernels to use KernelAbstractions.jl
• Update GPU compat
• Update Julia compat to 1.10

Merged pull requests:

• Move GPUArrays Kernels to use KernalAbstractions.jl (#98) (@nHackel)

Closed issues:

• Move package extension from GPUArrays.jl to KernelArrays.jl (#97)

v0.16.6

RegularizedLeastSquares v0.16.6

Diff since v0.16.5

Merged pull requests:

• Add Semgrep static analysis (#95) (@nHackel)
• Tikhonov matrix bug fixes for solver with extended systems (#96) (@nHackel)

Closed issues:

• Broken getting started (#53)

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