Welcome to tvopt’s documentation!

Contents:

• tvopt package
  • Submodules
  • tvopt.costs module
    • AbsoluteValue
      • AbsoluteValue.function()
      • AbsoluteValue.gradient()
      • AbsoluteValue.proximal()
    • Constant
      • Constant.dom
      • Constant.c
      • Constant.smooth
      • Constant.function()
      • Constant.gradient()
      • Constant.hessian()
      • Constant.proximal()
    • Cost
      • Cost.dom
      • Cost.time
      • Cost.is_dynamic
      • Cost.smooth
      • Cost._prox_solver
      • Cost.function()
      • Cost.gradient()
      • Cost.hessian()
      • Cost.proximal()
      • Cost.sample()
      • Cost.time_derivative()
    • DiscreteDynamicCost
      • DiscreteDynamicCost.function()
      • DiscreteDynamicCost.gradient()
      • DiscreteDynamicCost.hessian()
      • DiscreteDynamicCost.proximal()
      • DiscreteDynamicCost.sample()
    • DynamicExample_1D
      • DynamicExample_1D.approximate_time_derivative()
      • DynamicExample_1D.function()
      • DynamicExample_1D.gradient()
      • DynamicExample_1D.hessian()
      • DynamicExample_1D.time_derivative()
    • DynamicExample_2D
      • DynamicExample_2D.approximate_time_derivative()
      • DynamicExample_2D.function()
      • DynamicExample_2D.gradient()
      • DynamicExample_2D.hessian()
      • DynamicExample_2D.time_derivative()
    • Huber
      • Huber.function()
      • Huber.gradient()
      • Huber.hessian()
      • Huber.proximal()
    • Huber_1D
      • Huber_1D.function()
      • Huber_1D.gradient()
      • Huber_1D.hessian()
      • Huber_1D.proximal()
    • Indicator
      • Indicator.function()
      • Indicator.projection()
      • Indicator.proximal()
    • Linear
    • LinearRegression
    • Logistic
      • Logistic.function()
      • Logistic.gradient()
      • Logistic.hessian()
      • Logistic.proximal()
    • LogisticRegression
      • LogisticRegression.function()
      • LogisticRegression.gradient()
      • LogisticRegression.hessian()
      • LogisticRegression.proximal()
    • Norm_1
      • Norm_1.function()
      • Norm_1.gradient()
      • Norm_1.proximal()
    • Norm_2
    • Norm_inf
      • Norm_inf.function()
      • Norm_inf.proximal()
    • PowerCost
      • PowerCost.function()
      • PowerCost.gradient()
      • PowerCost.hessian()
    • ProductCost
      • ProductCost.function()
      • ProductCost.gradient()
      • ProductCost.hessian()
    • Quadratic
      • Quadratic.function()
      • Quadratic.gradient()
      • Quadratic.hessian()
      • Quadratic.proximal()
    • Quadratic_1D
      • Quadratic_1D.function()
      • Quadratic_1D.gradient()
      • Quadratic_1D.hessian()
      • Quadratic_1D.proximal()
    • RobustLinearRegression
      • RobustLinearRegression.function()
      • RobustLinearRegression.gradient()
      • RobustLinearRegression.hessian()
    • SampledCost
      • SampledCost.function()
      • SampledCost.gradient()
      • SampledCost.hessian()
      • SampledCost.proximal()
    • ScaledCost
      • ScaledCost.function()
      • ScaledCost.gradient()
      • ScaledCost.hessian()
      • ScaledCost.proximal()
    • SeparableCost
      • SeparableCost.costs
      • SeparableCost.N
      • SeparableCost.is_dynamic
      • SeparableCost.smooth
      • SeparableCost.function()
      • SeparableCost.gradient()
      • SeparableCost.hessian()
      • SeparableCost.proximal()
    • SumCost
      • SumCost.function()
      • SumCost.gradient()
      • SumCost.hessian()
    • backward_finite_difference()
    • compute_proximal()
  • tvopt.distributed_solvers module
    • admm()
    • aug_dgm()
    • average_consensus()
    • dpgm()
    • dual_ascent()
    • gossip_consensus()
    • max_consensus()
    • nids()
    • pg_extra()
    • prox_aac()
    • prox_ed()
    • ratio_consensus()
  • tvopt.networks module
    • DynamicNetwork
      • DynamicNetwork.broadcast()
      • DynamicNetwork.consensus()
      • DynamicNetwork.max_consensus()
      • DynamicNetwork.sample()
      • DynamicNetwork.send()
    • LossyNetwork
      • LossyNetwork.send()
    • Network
      • Network.adj_mat
      • Network.N
      • Network.weights
      • Network.neighbors
      • Network.degrees
      • Network.buffer
      • Network.broadcast()
      • Network.consensus()
      • Network.max_consensus()
      • Network.receive()
      • Network.send()
    • NoisyNetwork
      • NoisyNetwork.send()
    • QuantizedNetwork
      • QuantizedNetwork.send()
    • circle_graph()
    • circulant_graph()
    • complete_graph()
    • erdos_renyi()
    • incidence_matrix()
    • is_connected()
    • metropolis_hastings()
    • random_graph()
    • star_graph()
  • tvopt.prediction module
    • ExtrapolationPrediction
      • ExtrapolationPrediction.update()
    • Prediction
      • Prediction.function()
      • Prediction.gradient()
      • Prediction.hessian()
      • Prediction.proximal()
      • Prediction.update()
    • TaylorPrediction
      • TaylorPrediction.update()
  • tvopt.sets module
    • AffineSet
      • AffineSet.contains()
      • AffineSet.projection()
    • Ball
      • Ball.contains()
      • Ball.projection()
    • Ball_l1
      • Ball_l1.contains()
      • Ball_l1.projection()
    • Box
      • Box.contains()
      • Box.projection()
    • Halfspace
      • Halfspace.contains()
      • Halfspace.projection()
    • IntersectionSet
      • IntersectionSet.contains()
      • IntersectionSet.projection()
    • NonnegativeOrthant
      • NonnegativeOrthant.contains()
      • NonnegativeOrthant.projection()
    • R
      • R.contains()
      • R.projection()
    • ScaledSet
      • ScaledSet.contains()
      • ScaledSet.projection()
    • Set
      • Set.shape
      • Set.ndim
      • Set.size
      • Set.check_input()
      • Set.contains()
      • Set.projection()
      • Set.scale()
      • Set.translate()
    • T
      • T.check_input()
      • T.contains()
      • T.projection()
      • T.scale()
      • T.translate()
    • TranslatedSet
      • TranslatedSet.contains()
      • TranslatedSet.projection()
    • alternating_projections()
  • tvopt.solvers module
    • admm()
    • backtracking_gradient()
    • dual_ascent()
    • dual_fbs()
    • fbs()
    • gradient()
    • mm()
    • newton()
    • ppa()
    • prs()
    • stop()
    • subgradient()
  • tvopt.utils module
    • bisection_method()
    • dist()
    • fpr()
    • initialize_trajectory()
    • is_scalar()
    • is_square()
    • is_stochastic()
    • norm()
    • normalize()
    • orthonormal_matrix()
    • positive_semidefinite_matrix()
    • print_progress()
    • random_matrix()
    • regret()
    • soft_thresholding()
    • solve()
    • square_norm()
    • uniform_quantizer()
  • Module contents

Indices and tables

• Index

• Module Index

• Search Page