Computational and Decision Methods in Economics and Business

Computational and Decision Methods in Economics and Business

Author: Anna Maria Gil-Lafuente

Publisher: Springer Nature

Published: 2022-01-27

Total Pages: 314

ISBN-13: 3030937879

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This book presents different topics related to innovation, complexity, uncertainty, modeling and simulation, fuzzy logic, decision-making, aggregation operators, business and economic applications, among others. The chapters are the results of research presented at the International Workshop "Innovation, Complexity and Uncertainty in Economics and Business", held in Barcelona, in November 2019, by The Ibero-American Network for Competitiveness, Innovation and Development (REDCID in Spanish) and the Royal Academy of Economic and Financial Sciences (RACEF in Spanish). These papers are useful for junior and senior researchers in the area of economics and business.


Computational Methods in Decision-Making, Economics and Finance

Computational Methods in Decision-Making, Economics and Finance

Author: Erricos John Kontoghiorghes

Publisher: Springer Science & Business Media

Published: 2013-11-11

Total Pages: 626

ISBN-13: 1475736134

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Computing has become essential for the modeling, analysis, and optimization of systems. This book is devoted to algorithms, computational analysis, and decision models. The chapters are organized in two parts: optimization models of decisions and models of pricing and equilibria.


Economics and Computation

Economics and Computation

Author: Jörg Rothe

Publisher: Springer Nature

Published: 2024

Total Pages: 779

ISBN-13: 3031600991

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This textbook connects three vibrant areas at the interface between economics and computer science: algorithmic game theory, computational social choice, and fair division. It thus offers an interdisciplinary treatment of collective decision making from an economic and computational perspective. Part I introduces to algorithmic game theory, focusing on both noncooperative and cooperative game theory. Part II introduces to computational social choice, focusing on both preference aggregation (voting) and judgment aggregation. Part III introduces to fair division, focusing on the division of both a single divisible resource ("cake-cutting") and multiple indivisible and unshareable resources ("multiagent resource allocation"). In all these parts, much weight is given to the algorithmic and complexity-theoretic aspects of problems arising in these areas, and the interconnections between the three parts are of central interest.


Handbook of Computational Economics

Handbook of Computational Economics

Author: Karl Schmedders

Publisher: Newnes

Published: 2013-12-31

Total Pages: 680

ISBN-13: 0080931782

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Handbook of Computational Economics summarizes recent advances in economic thought, revealing some of the potential offered by modern computational methods. With computational power increasing in hardware and algorithms, many economists are closing the gap between economic practice and the frontiers of computational mathematics. In their efforts to accelerate the incorporation of computational power into mainstream research, contributors to this volume update the improvements in algorithms that have sharpened econometric tools, solution methods for dynamic optimization and equilibrium models, and applications to public finance, macroeconomics, and auctions. They also cover the switch to massive parallelism in the creation of more powerful computers, with advances in the development of high-power and high-throughput computing. Much more can be done to expand the value of computational modeling in economics. In conjunction with volume one (1996) and volume two (2006), this volume offers a remarkable picture of the recent development of economics as a science as well as an exciting preview of its future potential. - Samples different styles and approaches, reflecting the breadth of computational economics as practiced today - Focuses on problems with few well-developed solutions in the literature of other disciplines - Emphasizes the potential for increasing the value of computational modeling in economics


Foundations of Mathematical and Computational Economics

Foundations of Mathematical and Computational Economics

Author: Kamran Dadkhah

Publisher: Springer Science & Business Media

Published: 2011-01-11

Total Pages: 547

ISBN-13: 3642137482

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This is a book on the basics of mathematics and computation and their uses in economics for modern day students and practitioners. The reader is introduced to the basics of numerical analysis as well as the use of computer programs such as Matlab and Excel in carrying out involved computations. Sections are devoted to the use of Maple in mathematical analysis. Examples drawn from recent contributions to economic theory and econometrics as well as a variety of end of chapter exercises help to illustrate and apply the presented concepts.


Computational and Decision Methods in Economics and Business

Computational and Decision Methods in Economics and Business

Author: Anna Maria Gil-Lafuente

Publisher:

Published: 2022

Total Pages: 0

ISBN-13: 9783030937881

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This book presents different topics related to innovation, complexity, uncertainty, modeling and simulation, fuzzy logic, decision-making, aggregation operators, business and economic applications, among others. The chapters are the results of research presented at the International Workshop "Innovation, Complexity and Uncertainty in Economics and Business", held in Barcelona, in November 2019, by The Ibero-American Network for Competitiveness, Innovation and Development (REDCID in Spanish) and the Royal Academy of Economic and Financial Sciences (RACEF in Spanish). These papers are useful for junior and senior researchers in the area of economics and business.


Computational Methods for Risk Management in Economics and Finance

Computational Methods for Risk Management in Economics and Finance

Author: Marina Resta

Publisher: MDPI

Published: 2020-04-02

Total Pages: 234

ISBN-13: 3039284983

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At present, computational methods have received considerable attention in economics and finance as an alternative to conventional analytical and numerical paradigms. This Special Issue brings together both theoretical and application-oriented contributions, with a focus on the use of computational techniques in finance and economics. Examined topics span on issues at the center of the literature debate, with an eye not only on technical and theoretical aspects but also very practical cases.


Computational Economics

Computational Economics

Author: Shu-Heng Chen

Publisher: IGI Global

Published: 2006-01-01

Total Pages: 339

ISBN-13: 1591406498

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"This book identifies the economic as well as financial problems that may be solved efficiently with computational methods and explains why those problems should best be solved with computational methods"--Provided by publisher.


Decision Economics: Complexity of Decisions and Decisions for Complexity

Decision Economics: Complexity of Decisions and Decisions for Complexity

Author: Edgardo Bucciarelli

Publisher: Springer Nature

Published: 2020-02-07

Total Pages: 334

ISBN-13: 3030382273

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This book is based on the International Conference on Decision Economics (DECON 2019). Highlighting the fact that important decision-making takes place in a range of critical subject areas and research fields, including economics, finance, information systems, psychology, small and international business, management, operations, and production, the book focuses on analytics as an emerging synthesis of sophisticated methodology and large data systems used to guide economic decision-making in an increasingly complex business environment. DECON 2019 was organised by the University of Chieti-Pescara (Italy), the National Chengchi University of Taipei (Taiwan), and the University of Salamanca (Spain), and was held at the Escuela politécnica Superior de Ávila, Spain, from 26th to 28th June, 2019. Sponsored by IEEE Systems Man and Cybernetics Society, Spain Section Chapter, and IEEE Spain Section (Technical Co-Sponsor), IBM, Indra, Viewnext, Global Exchange, AEPIA-and-APPIA, with the funding supporting of the Junta de Castilla y León, Spain (ID: SA267P18-Project co-financed with FEDER funds)