Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Research projects --- Research management

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Long description: In the information or knowledge society, there is a need for transdisciplinary research, i. e. research that deals with complex life-world problems. Transdisciplinary projects aim to come up with practice-oriented solutions that serve what is perceived to be the common good. In order to achieve this, they transcend disciplinary boundaries and include the perspectives of public agencies, the business community and civil society in the research process. This process is therefore particularly challenging for those involved. This book is proposed by the transdisciplinarity-net, which is a project supported by the Swiss Academies of Arts and Sciences. It offers a means of designing transdisciplinary research. The tools presented here help structure the research process, in particular with a view to: • adequately reducing the complexity of a problem field, • taking into account the multiplicity of perspectives, • embedding research into the social context, and • adapting concepts and methods in the course of the research process. This publication shows how these tools can be used in the three phases of a transdisciplinary research process: identifying and structuring the problem, analyzing the problem and bringing results to fruition.

research --- transdisciplinary research --- Research Management

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Reinforced concrete. --- Technological intelligence --- Research management

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Interdisciplinary research --- Research --- Management --- Congresses. --- International cooperation --- Interdisciplinary research - Management - Congresses. --- Research - International cooperation - Management - Congresses.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In mathematical modeling of processes occurring in logistics, management science, operations research, networks, mathematical finance, medicine, and control theory, one often encounters optimization problems involving more than one objective function so that Multiobjective Optimization (or Vector Optimization, initiated by W. Pareto) has received new impetus. The growing interest in vector optimization problems, both from the theoretical point of view and as it concerns applications to real world optimization problems, asks for a general scheme which embraces several existing developments and stimulates new ones. This book aims to provide the newest results and applications of this quickly growing field. Basic tools of partially ordered spaces are discussed and applied to variational methods in nonlinear analysis and to optimization problems. The book begins by providing simple examples that illustrate what kind of problems can be handled with the methods presented. The book then deals with connections between order structures and topological structures of sets, discusses properties of nonlinear scalarization functions, and derives corresponding separation theorems for not necessarily convex sets. Furthermore, characterizations of set relations via scalarization are presented. Important topological properties of multifunctions and new results concerning the theory of vector optimization and equilibrium problems are presented in the book. These results are applied to construct numerical algorithms, especially, proximal-point algorithms and geometric algorithms based on duality assertions. In the second edition, new sections about set less relations, optimality conditions in set optimization and the asymptotic behavior of multiobjective Pareto-equilibrium problems have been incorporated. Furthermore, a new chapter regarding scalar optimization problems under uncertainty and robust counterpart problems employing approaches based on vector optimization, set optimization, and nonlinear scalarization was added. Throughout the entire book, there are examples used to illustrate the results and check the stated conditions. This book will be of interest to graduate students and researchers in pure and applied mathematics, economics, and engineering. A sound knowledge of linear algebra and introductory real analysis should provide readers with sufficient background for this book. .

Operations research. --- Management science. --- Operations Research, Management Science . --- Mathematical optimization. --- Optimització matemàtica