Shortest Path Solvers. From Software to Wetware (Emergence,Complexity and Computation)
ISBN-10: 331977509X
ISBN-13: 9783319775098
Edition 版本: 1st ed. 2018
Released: 2018-04-27
Pages: 441 pages
This book offers advanced parallel and distributed algorithms and experimental laboratory prototypes of unconventional shortest path solvers. In addition,it presents novel and unique algorithms of solving shortest problems in massively parallel cellular automaton machines. The shortest path problem is a fundamental and classical problem in graph theory and computer science and is frequently applied in the contexts of transport and logistics,telecommunication networks,virtual reality and gaming,geometry,and social networks analysis. Software implementations include distance-vector algorithms for distributed path computation in dynamics networks,parallel solutions of the constrained shortest path problem,and application of the shortest path solutions in gathering robotic swarms. Massively parallel algorithms utilise cellular automata,where a shortest path is computed either via matrix multiplication in automaton arrays,or via the representation of data graphs in automaton lattices and using the propagation of wave-like patterns. Unconventional shortest path solvers are presented in computer models of foraging behaviour and protoplasmic network optimisation by the slime mould Physarum polycephalum and fluidic devices,while experimental laboratory prototypes of path solvers using chemical media,flows and droplets,and electrical current are also highlighted. The book will be a pleasure to explore for readers from all walks of life,from undergraduate students to university professors,from mathematicians,computers scientists and engineers to chemists and biologists.
Shortest Path Solvers. From Software to Wetware
相关推荐
- Building Decentralized Blockchain Applications: Learn how to use blockchain as the foundation for Next-Gen Apps, 2nd Edition
- Data Science Essentials with R: Learn with focus on data manipulation, visualization, and machine learning
- Variational Methods for Machine Learning with Applications to Deep Networks
- Ultimate Python for Fintech Solutions: Build Modern Financial Applications and Fintech Solutions Using Finance Packages and Blockchain with Python
finelybook
