Quantum computers have demonstrable ability to solve problems at a scale beyond brute-
force classical simulation. Interest in quantum algorithms has developed in many areas …

A (Slightly) Improved Approximation Algorithm for Metric TSP Page 1 A (Slightly) Improved
Approximation Algorithm for Metric TSP Anna R. Karlin karlin@cs.washington.edu …

Comprehensively teaches the fundamentals of supply chain theory This book presents the
methodology and foundations of supply chain management and also demonstrates how …

Recent advances in quantum computers are demonstrating the ability to solve problems at a
scale beyond brute force classical simulation. As such, a widespread interest in quantum …

Parameterization and approximation are two popular ways of coping with NP-hard
problems. More recently, the two have also been combined to derive many interesting …

The traveling salesman (or salesperson) problem, short TSP, is a problem of strong interest
to many researchers from mathematics, economics, and computer science. Manifold TSP …

We give a constant-factor approximation algorithm for the asymmetric traveling salesman
problem (ATSP). Our approximation guarantee is analyzed with respect to the standard LP …

In this work, we introduce the notion of time to some well-known combinatorial optimization
problems. In particular, we study problems defined on temporal graphs. A temporal graph …

Written examination is a conventional yet universal tool to evaluate the student's
performance in a subject area, where the required cognitive ability is defined through items …

We present a black-box reduction from the path version of the Traveling Salesman Problem
(Path TSP) to the classical tour version (TSP). More precisely, we show that given an α …