most citedApproximation Limitations of Pure Dynamic Programming

4 citations · 4 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CC2020

Sorting Can Exponentially Speed Up Pure Dynamic Programming

Stasys Jukna, Hannes Seiwert

Many discrete minimization problems, including various versions of the shortest path problem, can be efficiently solved by dynamic programming (DP) algorithms that are "pure" in th…

cs.CC20204 cited

Approximation Limitations of Pure Dynamic Programming

Stasys Jukna, Hannes Seiwert

We prove the first, even super-polynomial, lower bounds on the size of tropical (min,+) and (max,+) circuits approximating given optimization problems. Many classical dynamic progr…

cs.CC2020

Coin Flipping in Dynamic Programming is Almost Useless

Stasys Jukna

We consider probabilistic circuits working over the real numbers, and using arbitrary semialgebraic functions of bounded description complexity as gates. In particular, such circui…

cs.CC2020

Notes on Hazard-Free Circuits

Stasys Jukna

The problem of constructing hazard-free Boolean circuits (those avoiding electronic glitches) dates back to the 1940s and is an important problem in circuit design and even in cybe…

cs.CC2020

Tropical Kirchhoff's Formula and Postoptimality in Matroid Optimization

Stasys Jukna, Hannes Seiwert

Given an assignment of real weights to the ground elements of a matroid, the min-max weight of a ground element is the minimum, over all circuits containing , of the maximum…

cs.CC2018

Greedy can beat pure dynamic programming

Stasys Jukna, Hannes Seiwert

Many dynamic programming algorithms for discrete 0-1 optimizationproblems are "pure" in that their recursion equations only use min/max and addition operations, and do not depend o…