The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route planning ...

We develop new algorithmic approaches to compute provably near-optimal policies for multiperiod stochastic lot-sizing inventory models with positive lead times, general demand distributions, and ...

Celebrate Pi Day with the best fractional approximation of Pi using Python! In this video, I’ll show you how to generate the most accurate rational approximations for Pi, diving into algorithms like ...

ACM, the Association for Computing Machinery, today named Éva Tardos, a Professor at Cornell University, as the 2022-2023 ACM Athena Lecturer. Tardos is recognized for fundamental research ...

Transactions of the American Mathematical Society, Vol. 223 (Oct., 1976), pp. 103-131 (29 pages) This paper demonstrates a Remez exchange algorithm applicable to approximation of real-valued ...

Many important and valuable planning and scheduling problems in logistics and automation are combinatorial optimization problems. The most famous problem of this type is the traveling salesman problem ...

Banach spaces, as complete normed vector spaces, form a central framework in modern functional analysis. Their rich geometric structure underpins much of the theoretical development in approximation ...

Mark Jerrum, Alistair Sinclair (UC Berkeley) and Eric Vigoda (Georgia Tech) received the Association for Computing Machinery (ACM) Test of Time Award at a virtual ceremony on Wednesday 23 June at the ...

The Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...