v0.10.0

• Added pyproximal.optimization.primal.AndersonProximalGradient solver
• Added pyproximal.proximal.HuberCircular operator
• Added fungrad method to pyproximal.proximal.Nonlinear
• Modified pyproximal.proximal.Huber operator as previously erroneously implemented using the definition of Circular Huber norm

v0.9.0

• Added pyproximal.optimization.palm.iPALM solver
• Added pyproximal.optimization.palm._backtracking method to be used when gammaf=None and/or gammag=None
• Added pyproximal.utils.gradtest.gradtest_proximal and pyproximal.utils.gradtest.gradtest_bilinear methods
• Added tol to pyproximal.optimization.primal.ProximalPoint and
  pyproximal.optimization.primal.ProximalGradient solvers
• Modified pyproximal.ProxOperator.precomposition to allow b being also a vector

v0.8.0

• Added pyproximal.projection.L01BallProj and pyproximal.proximal.L01Ball operators
• Added eta to pyproximal.optimization.primal.ProximalGradient
• Added eta and weights to pyproximal.optimization.primal.GeneralizedProximalGradient
• Allow eta to pyproximal.optimization.primal.ProximalGradient to have iteration-dependent epsg
• Switched from lsqr to cg in pyproximal.projection.AffineSetProj

v0.7.0

• Added pyproximal.proximal.RelaxedMumfordShah operator
• Added cuda version to the proximal operator of pyproximal.proximal.Simplex
• Added bilinear update to pyproximal.optimization.primal.ProximalGradient
• Modified pyproximal.optimization.pnp.PlugAndPlay function signature to allow using any proximal solver of choice
• Fixed print in pyproximal.optimization.primaldual.PrimalDual when using cupy arrays
• Fixed pyproximal.utils.bilinear.LowRankFactorizedMatrix when n=m

v0.6.0

🚦 🚦 This is the first release supporting PyLops v2. 🚦 🚦

• Added grad method to pyproximal.utils.bilinear.LowRankFactorizedMatrix operator
• Allow passing optional arguments to solvers in pyproximal.proximal.L2
• Modified codebase to integrate with pylops's cupy backend.
• Modified codebase to integrate with pylops v2.

v0.5.0

🚦 🚦 This is the latest version supporting PyLops v1. 🚦 🚦

• Added pyproximal.proximal.Log1 operator
• Allow radius parameter of pyproximal.optimization.primal.L0 to be a function
• Allow tau parameter of pyproximal.optimization.primal.HQS to be a vector
  and change over iterations
• Added z0 to pyproximal.optimization.primal.HQS
• Added factorize option to densesolver of pyproximal.proximal.L2

v0.4.0

• Added pyproximal.optimization.primal.ADMML2, pyproximal.optimization.primal.HQS, and pyproximal.optimization.pnp.PlugAndPlay solvers
• Added pyproximal.proximal.ETP, pyproximal.proximal.Geman, pyproximal.proximal.L0, pyproximal.proximal.Log, pyproximal.proximal.QuadraticEnvelopeCard, pyproximal.proximal.SCAD operators.
• Allow tau parameter of proximal operators to be a vector to handle problems with multiple right-hand sides.

v0.3.0

• Added pyproximal.optimization.palm.PALM optimizer
• Added callback to pyproximal.optimization.proximal.ProximalPoint
  optimizer
• Added pyproximal.utils.bilinear.BilinearOperator and
  pyproximal.utils.bilinear.LowRankFactorizedMatrix operators

v0.2.0

• Added pyproximal.proximal.L0Ball, pyproximal.proximal.L1Ball,
  pyproximal.proximal.L21_plus_L1, pyproximal.proximal.Nuclear,
  pyproximal.proximal.NuclearBall, and pyproximal.proximal.Nonlinear
  operators
• Added pyproximal.optimization.primal.TwIST solver
• Added acceleration in
  pyproximal.optimization.primal.AcceleratedProximalGradient solver
• Added classes standard deviation in
  pyproximal.optimization.segmentation.Segment solver
• Added chain method pyproximal.ProxOperator
• Fix pyproximal.proximal.Orthogonal by introducing alpha
  in the proximal evaluation

v0.1.0

• Added pyproximal.optimization.sr3.SR3 solver
• Added pyproximal.projection.AffineSetProj and pyproximal.AffineSet operators
• Fixed pyproximal.Huber operator