<p><p></p><p>This book focuses on the development of approximation-related algorithms and their relevant applications. Individual contributions are written by leading experts and reflect emerging directions and connections in data approximation and optimization. Chapters discuss state of the art top
Network optimization problems : algorithms, applications, and complexity
✍ Scribed by Du D.-Z., Pardalos P.M. (eds.)
- Publisher
- World Scientific
- Year
- 1993
- Tongue
- English
- Leaves
- 405
- Series
- Series on applied mathematics, v. 2
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
Group testing was first proposed for blood tests, but soon found its way to many industrial applications. Combinatorial group testing studies the combinatorial aspect of the problem and is particularly related to many topics in combinatorics, computer science and operations research. Recently, the idea of combinatorial group testing has been applied to experimental designs, coding, multiaccess computer communication, done library screening and other fields. This book attempts to cover the theory and applications of combinatorial group testing in one place
📜 SIMILAR VOLUMES
<p><span>This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.) of algorithms in the context of distributed optimization in networked systems and their successful application to real-world applications (smart grids and online learn
This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.) of algorithms in the context of distributed optimization in networked systems and their successful application to real-world applications (smart grids and online learning). Rea
<p>This book contains 112 papers selected from about 250 submissions to the 6th World Congress on Global Optimization (WCGO 2019) which takes place on July 8–10, 2019 at University of Lorraine, Metz, France. The book covers both theoretical and algorithmic aspects of Nonconvex Optimization, as well
Handbook of Optimization in Complex Networks содержит основы теории сложных сетей с рядом новых математических подходов и методов оптимизации разработки и анализа динамических сложных сетей. Широкий спектр приложений и задач оптимизации на основе исследований в таких областях, как клеточная и молеку
<span>Network Science</span><p><span>Network Science</span><span> offers comprehensive insight on network analysis and network optimization algorithms, with simple step-by-step guides and examples throughout, and a thorough introduction and history of network science, explaining the key concepts and