Kategoria BISAC: Mathematics >> Optimization

This is an updated version of what is still the only text to address basic questions about how to model uncertainty in mathematical programming, including how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This second edition has important extensions regarding  how to represent random phenomena in the models (also called scenario generation) as well as a new chapter on multi-stage models.

This text would be suitable as a stand-alone or supplement for a second course in OR/MS or in optimization-oriented engineering...

As public awareness of social and environmental issues grew, more consumers began to support firms committed to developing and operating environmentally sustainable and socially responsible supply chains. Consumers, investors, and regulators began demanding transparency and accountability, pushing companies to address the environmental footprint of their products and operations. The book addresses essential questions, such as how a firm shifts its focus from being profit-focused to being triple-bottom-line driven and how a firm develops its supply chain with a conscience. Written by...

This book provides an updated and in-depth introduction to the application of multiobjective optimization techniques in bioinformatics. In particular, it presents multiobjective solutions to a range of complex real-world bioinformatics problems. The authors first provide a comprehensive yet concise and self-contained introduction to relevant preliminary methodical constructions such as genetic algorithms, multiobjective optimization, data mining and several challenges in the bioinformatics domain. This is followed by several systematic applications of these techniques to real-world...

This book delves into modeling, multi-cluster interactive dispatch, and multi-energy coordination in distributed energy grid clusters, focusing on the integrated operation and scheduling of electricity, heating, and gas systems. It introduces innovative methods such as physical information fusion, multi-energy system modeling, and cloud-edge collaborative computing. Through numerous case studies and simulations, it validates strategies like hierarchical control, rolling optimization, and real-time adjustments. The book also explores market trading strategies using game theory and...

This book, the second of two volumes, presents significant applications for understanding modern analysis. It empowers young researchers with key techniques and applications to explore various subfields of this broad subject and introduces relevant frameworks for immediate deployment.

The applications list begins with Degree Theory, a useful tool for studying nonlinear equations. Chapter 2 deals with Fixed Point Theory, and Chapter 3 introduces Critical Point Theory. Chapter 4 presents the main spectral properties of linear, nonlinear, anisotropic, and double-phase differential...