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During the last decades the globalisation of financial markets, the intensifying competition as well;...
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of papers published in the fifth volume of the Journal of Computational Optimization in Economics & Finance (published by Nova Science Publishers;
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different fields of optimization and practitioners who need reliable and efficient computational optimization methods. This volume presents a;
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Computational models and methods are central to the analysis of economic and financial decisions. Simulation and optimisation are widely;
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. Numerical Methods and Optimization in Finance presents such computational techniques, with an emphasis on simulation and optimization, particularly;
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optimization. There are needs for more organized and coordinated computational approaches. These ext- sions will make dynamic financial optimization;
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the frontiers of computational mathematics. In their efforts to accelerate the incorporation of computational power into mainstream research;
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This book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2019.Our everyday life;
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Institutional profit realization has become highly contingent on research education, investment, and planning; yet, the methodology;
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financial theory and computational practice while showing readers how to utilize MATLAB?--the powerful numerical computing environment--for;
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Optimization methods play a central role in financial modeling. This textbook is devoted to explaining how state-of-the-art optimization;
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analysis, portfolio optimization, classification techniques in economics, supply chain optimization, development of e-commerce applications, etc;
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decision makers from all around the globe. It offers the academic and the applied communities a compendium and a research resource with significant;
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This book presents recent advancements of research, new methods and techniques, applications and projects in decision making and decision;
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as researchers and students in computational economics and finance, operations research, management science, applied mathematics and computer;
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This book provides some of the most recent developments in Computational Intelligence applied to business and economics presented at the MS;
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computational issues in Econo metrics, Economics and Optimization. The first five papers in these proceedings are dedicated to numerical issues;
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The book is a monograph in the cross disciplinary area of Computational Intelligence in Finance and elucidates a collection of practical;
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optimization tasks. This volume presents a comprehensive collection of extended contributions from the 2017 Workshop on Computational Optimization;
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bases, and powerful algorithms for complex optimization problems. Computational intelligence has also evolved rapidly over the past few years;
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Interest in constrained optimization originated with the simple linear pro gramming model since it was practical and perhaps the only;
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responded to this call by offering refinements to classic computational methods while also introducing new ones. From continuous optimization to;
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of computational problems in science, engineering, optimization, statistics, finance, and simulation.;
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well as addressing issues of unconventional, renewable, and alternative energy. * A timely compendium of information and insights centering on;
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Computational optimization methods have matured over the last few years due to extensive research by applied mathematicians and engineers;
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This title brings together frontier research on complex economic systems, heterogeneous interacting agents, bounded rationality, and;
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