Publisher Summary The traveling salesman problem, TSP for short, has model character in
many branches of mathematics, computer science, and operations research. Heuristics …

Delay embedding methods are a staple tool in the field of time series analysis and
prediction. However, the selection of embedding parameters can have a big impact on the …

Any solid object can be decomposed into a collection of convex polytopes (in short,
convexes). When a small number of convexes are used, such a decomposition can be …

The cornerstone of neural algorithmic reasoning is the ability to solve algorithmic tasks,
especially in a way that generalises out of distribution. While recent years have seen a surge …

We introduce a new neural architecture to learn the conditional probability of an output
sequence with elements that arediscrete tokens corresponding to positions in an input …

Learning representations of algorithms is an emerging area of machine learning, seeking to
bridge concepts from neural networks with classical algorithms. Several important works …

To detect illegal copies of copyrighted images, recent copy detection methods mostly rely on
the bag-of-visual-words (BOW) model, in which local features are quantized into visual …

This well-accepted introduction to computational geometry is a textbook for high-level
undergraduate and low-level graduate courses. The focus is on algorithms and hence the …

A comprehensive update of the leading algorithms text, with new material on matchings in
bipartite graphs, online algorithms, machine learning, and other topics. Some books on …

An adaptive method based on the idea of multiple component grids for the solution of
hyperbolic partial differential equations using finite difference techniques is presented …