Optimization

Discrete H Optimization is concerned with the study of H optimization for digital signal processing and discrete-time control systems.

DLP denotes a dynamic-linear modeling and optimization approach to computational decision support for resource planning problems that arise, typically, within the natural resource sciences and the disciplines of operations research and operational engineering.

Dynamic game theory serves the purpose of including strategic interaction in decision making and is therefore often applied to economic problems.

The book presents new developments in the dynamic modeling and optimization methods in environmental economics and provides a huge range of applications dealing with the economics of natural resources, the impacts of climate change and of environmental pollution, and respective policy measures.

Evolution strategies have more than 50 years of history in the field of evolutionary computation.

Today it appears that we understand more about the universe than about our interconnected socio-economic world.

This comprehensive textbook on combinatorial optimization places special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics.

This book reports the latest findings on intelligent energy management of Internet data centers in smart-grid environments.

The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics.

Stochastic optimization problems arise in decision-making problems under uncertainty, and find various applications in economics and finance.

An important scienti?

Here at last is the fourth edition of the textbook that is required reading for economics students as well as those practising applied economics.

Evolution is Nature's design process.

Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables.

One common characteristics of a complex system is its ability to withstand major disturbances and the capacity to rebuild itself.

Effective evacuation of people from closed spaces is an extremely important topic, since it can save real lives in emergency situations that can be brought about by natural and human made disasters.

Integer Optimization addresses a wide spectrum of practically important optimization problems and represents a major challenge for algorithmics.

This book provides a new perspective on omics data modelling and analysis in bioinformatics area.

This book provides a new perspective on omics data modelling and analysis in bioinformatics area.

This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Global Constraints Optimization and Costraint Satisfaction, COCOS 2002, held in Valbonne-Sophia Antipolis, France in October 2002.

One of the major contemporary challenges in both physical and social sciences is modeling, analyzing, and understanding the self-organization, evolution, behavior, and eventual decay of complex dynamical systems ranging from cell assemblies to the human brain to animal societies.

Social systems are among the most complex known.

This tutorial contains written versions of seven lectures on Computational Combinatorial Optimization given by leading members of the optimization community.

During the last few years, we have seen quite spectacular progress in the area of approximation algorithms: for several fundamental optimization problems we now actually know matching upper and lower bounds for their approximability.

This book celebrates the remarkable contributions of Panos M.

Here is a comprehensive introduction to the least-squares finite element method (LSFEM) for numerical solution of PDEs.

Many mechanics and physics problems have variational formulations making them appropriate for numerical treatment by finite element techniques and efficient iterative methods.

This book constitutes the refereed proceedings of the First International Conference on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001.

Our purpose in writing this book was to provide a compendium of stochastic optimizationtechniques,someguidesto wheneachisappropriateinpractical situations, and a few useful ways of thinking about optimization as a p- cess of search in some very rich con?

This book celebrates the remarkable contributions of Panos M.

In this concise book based on his Arne Ryde Lectures in 2002, Young suggests a conceptual framework for studying strategic learning and highlights theoretical developments in the area.

Based on the "e;Seventh International Conference on Dynamics of Disasters"e; (Vienna, Austria, July 2024), this book offers a comprehensive exploration of the dynamics of disasters, focusing on the emerging theme of hybrid threats.

This book presents the best papers from the 6th International Conference on Mathematical Research for Blockchain Economy (MARBLE) 2025, held in Athens, Greece.

This book offers a comprehensive exploration of computational social networks, focusing on the algorithmic and optimization aspects crucial for applications across diverse domains.

This book offers a comprehensive exploration of computational social networks, focusing on the algorithmic and optimization aspects crucial for applications across diverse domains.

This book provides an introduction to nonsmooth constrained optimal control theory over infinite horizon, tackling the mathematical challenges that arise when classical finite-horizon methods prove inadequate.

This book provides an introduction to nonsmooth constrained optimal control theory over infinite horizon, tackling the mathematical challenges that arise when classical finite-horizon methods prove inadequate.

In diesem Buch wird der nicht-planare 3D-Druck als Sonderform des FDM-Verfahrens betrachtet und als multikriterielles Optimalsteuerungsproblem formuliert.

In diesem Buch wird der nicht-planare 3D-Druck als Sonderform des FDM-Verfahrens betrachtet und als multikriterielles Optimalsteuerungsproblem formuliert.

Based on the "e;Seventh International Conference on Dynamics of Disasters"e; (Vienna, Austria, July 2024), this book offers a comprehensive exploration of the dynamics of disasters, focusing on the emerging theme of hybrid threats.

This book presents the best papers from the 6th International Conference on Mathematical Research for Blockchain Economy (MARBLE) 2025, held in Athens, Greece.

This book is an exploration of differential and algorithmic intelligent game theory, offering a comprehensive look at its methods and applications across diverse fields.

This book is an exploration of differential and algorithmic intelligent game theory, offering a comprehensive look at its methods and applications across diverse fields.

Data science and optimization are increasingly intertwined as both focus on developing computational and methodological approaches to tackling large and otherwise complex datasets.