Monadification, Memoization and Dynamic Programming


Title: Monadification, Memoization and Dynamic Programming
Authors: Simon Wimmer, Shuwei Hu (shuwei /dot/ hu /at/ tum /dot/ de) and Tobias Nipkow
Submission date: 2018-05-22
Abstract: We present a lightweight framework for the automatic verified (functional or imperative) memoization of recursive functions. Our tool can turn a pure Isabelle/HOL function definition into a monadified version in a state monad or the Imperative HOL heap monad, and prove a correspondence theorem. We provide a variety of memory implementations for the two types of monads. A number of simple techniques allow us to achieve bottom-up computation and space-efficient memoization. The framework’s utility is demonstrated on a number of representative dynamic programming problems. A detailed description of our work can be found in the accompanying paper [2].
  author  = {Simon Wimmer and Shuwei Hu and Tobias Nipkow},
  title   = {Monadification, Memoization and Dynamic Programming},
  journal = {Archive of Formal Proofs},
  month   = may,
  year    = 2018,
  note    = {\url{},
            Formal proof development},
  ISSN    = {2150-914x},
License: BSD License
Used by: Hidden_Markov_Models, Optimal_BST