PEPit.jl
  • Home
  • Quick start
  • API reference
    • Core workflow
    • Function classes
    • Operator classes
    • Primitive steps
    • Utilities
  • Examples
    • Overview
      • Overview
      • Polyak Steps In Distance To Optimum
      • Polyak Steps In Function Value
      • Overview
      • Accelerated Douglas Rachford Splitting
      • Accelerated Proximal Gradient
      • Accelerated Proximal Gradient Simplified
      • Bregman Proximal Point
      • Douglas Rachford Splitting
      • Douglas Rachford Splitting Contraction
      • Frank Wolfe
      • Improved Interior Algorithm
      • No Lips In Bregman Divergence
      • No Lips In Function Value
      • Proximal Gradient
      • Proximal Gradient Quadratics
      • Three Operator Splitting
      • Overview
      • Accelerated Gradient Flow Convex
      • Accelerated Gradient Flow Strongly Convex
      • Gradient Flow Convex
      • Gradient Flow Strongly Convex
      • Overview
      • Halpern Iteration
      • Inconsistent Halpern Iteration
      • Krasnoselskii Mann Constant Step Sizes
      • Krasnoselskii Mann Increasing Step Sizes
      • Optimal Contractive Halpern Iteration
      • Overview
      • Accelerated Inexact Forward Backward
      • Partially Inexact Douglas Rachford Splitting
      • Relatively Inexact Proximal Point Algorithm
      • Overview
      • Alternate Projections
      • Averaged Projections
      • Dykstra
      • Frank Wolfe
      • Gradient Descent
      • Halpern Iteration
      • Inexact Gradient
      • Optimized Gradient
      • Proximal Point
      • Overview
      • Accelerated Proximal Point
      • Douglas Rachford Splitting
      • Douglas Rachford Splitting 2
      • Optimal Strongly Monotone Proximal Point
      • Optimistic Gradient
      • Optimistic Gradient Refined
      • Optimistic Gradient Refined Cocoercive
      • Past Extragradient
      • Proximal Point
      • Three Operator Splitting
      • Overview
      • Difference Of Convex Algorithm
      • Gradient Descent
      • Gradient Descent Quadratic Lojasiewicz Expensive
      • Gradient Descent Quadratic Lojasiewicz Intermediate
      • Gradient Descent Quadratic Lojasiewicz Naive
      • No Lips 1
      • No Lips 2
      • Overview
      • Online Follow Leader
      • Online Follow Regularized Leader
      • Online Frank Wolfe
      • Online Gradient Descent
      • Overview
      • Accelerated Gradient Method
      • Gradient Descent Lyapunov 1
      • Gradient Descent Lyapunov 2
      • Overview
      • Point Saga
      • Randomized Coordinate Descent Smooth Convex
      • Randomized Coordinate Descent Smooth Strongly Convex
      • Saga
      • Sgd
      • Sgd Overparametrized
      • Overview
      • Accelerated Gradient Convex
      • Accelerated Gradient Convex Simplified
      • Accelerated Gradient Strongly Convex
      • Accelerated Proximal Point
      • Conjugate Gradient
      • Conjugate Gradient Qg Convex
      • Cyclic Coordinate Descent
      • Epsilon Subgradient Method
      • Gradient Descent
      • Gradient Descent Contraction
      • Gradient Descent Lc
      • Gradient Descent Qg Convex
      • Gradient Descent Qg Convex Decreasing
      • Gradient Descent Quadratics
      • Gradient Descent Silver Stepsize Convex
      • Gradient Descent Silver Stepsize Strongly Convex
      • Gradient Exact Line Search
      • Heavy Ball Momentum
      • Heavy Ball Momentum Qg Convex
      • Inexact Accelerated Gradient
      • Inexact Gradient Descent
      • Inexact Gradient Exact Line Search
      • Information Theoretic Exact Method
      • Optimized Gradient
      • Optimized Gradient For Gradient
      • Proximal Point
      • Robust Momentum
      • Subgradient Method
      • Subgradient Method Rsi Eb
      • Triple Momentum
  • Tutorials
  • Contributing
  • Release notes
Version
  • Examples
  • Potential Functions
  • Overview
  • Overview
GitHub

Potential Functions

Examples in this category.

  • Accelerated Gradient Method
  • Gradient Descent Lyapunov 1
  • Gradient Descent Lyapunov 2
« Online Gradient DescentAccelerated Gradient Method »

Powered by Documenter.jl and the Julia Programming Language.

Settings


This document was generated with Documenter.jl version 1.17.0 on Monday 22 June 2026. Using Julia version 1.12.6.