Computational Management

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Publisher : Springer Nature
ISBN 13 : 303072929X
Total Pages : 682 pages
Book Rating : 4.95/5 ( download)

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Book Synopsis Computational Management by : Srikanta Patnaik

Download or read book Computational Management written by Srikanta Patnaik and published by Springer Nature. This book was released on 2021-05-29 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.

Computational Management Science

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Publisher : Springer
ISBN 13 : 3319204300
Total Pages : 245 pages
Book Rating : 4.07/5 ( download)

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Book Synopsis Computational Management Science by : Raquel J. Fonseca

Download or read book Computational Management Science written by Raquel J. Fonseca and published by Springer. This book was released on 2015-12-22 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains contributions from the 11th International Conference on Management Science (CMS 2014), held at Lisbon, Portugal, on May 29-31, 2014. Its contents reflect the wide scope of Management Science, covering different theoretical aspects for a quite diverse set of applications. Computational Management Science provides a unique perspective in relevant decision-making processes by focusing on all its computational aspects. These include computational economics, finance and statistics; energy; scheduling; supply chains; design, analysis and applications of optimization algorithms; deterministic, dynamic, stochastic, robust and combinatorial optimization models; solution algorithms, learning and forecasting such as neural networks and genetic algorithms; models and tools of knowledge acquisition, such as data mining; and all other topics in management science with the emphasis on computational paradigms.

Computational Intelligence and Soft Computing Applications in Healthcare Management Science

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Publisher : IGI Global
ISBN 13 : 1799825825
Total Pages : 322 pages
Book Rating : 4.21/5 ( download)

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Book Synopsis Computational Intelligence and Soft Computing Applications in Healthcare Management Science by : Gul, Muhammet

Download or read book Computational Intelligence and Soft Computing Applications in Healthcare Management Science written by Gul, Muhammet and published by IGI Global. This book was released on 2020-03-06 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s modernized world, the field of healthcare has seen significant practical innovations with the implementation of computational intelligence approaches and soft computing methods. These two concepts present various solutions to complex scientific problems and imperfect data issues. This has made both very popular in the medical profession. There are still various areas to be studied and improved by these two schemes as healthcare practices continue to develop. Computational Intelligence and Soft Computing Applications in Healthcare Management Science is an essential reference source that discusses the implementation of soft computing techniques and computational methods in the various components of healthcare, telemedicine, and public health. Featuring research on topics such as analytical modeling, neural networks, and fuzzy logic, this book is ideally designed for software engineers, information scientists, medical professionals, researchers, developers, educators, academicians, and students.

Portfolio Management with Heuristic Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 0387258531
Total Pages : 238 pages
Book Rating : 4.39/5 ( download)

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Book Synopsis Portfolio Management with Heuristic Optimization by : Dietmar G. Maringer

Download or read book Portfolio Management with Heuristic Optimization written by Dietmar G. Maringer and published by Springer Science & Business Media. This book was released on 2006-07-02 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Portfolio Management with Heuristic Optimization consist of two parts. The first part (Foundations) deals with the foundations of portfolio optimization, its assumptions, approaches and the limitations when "traditional" optimization techniques are to be applied. In addition, the basic concepts of several heuristic optimization techniques are presented along with examples of how to implement them for financial optimization problems. The second part (Applications and Contributions) consists of five chapters, covering different problems in financial optimization: the effects of (linear, proportional and combined) transaction costs together with integer constraints and limitations on the initital endowment to be invested; the diversification in small portfolios; the effect of cardinality constraints on the Markowitz efficient line; the effects (and hidden risks) of Value-at-Risk when used the relevant risk constraint; the problem factor selection for the Arbitrage Pricing Theory.

Introduction to Computational Science

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Publisher : Princeton University Press
ISBN 13 : 140085055X
Total Pages : 857 pages
Book Rating : 4.56/5 ( download)

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Book Synopsis Introduction to Computational Science by : Angela B. Shiflet

Download or read book Introduction to Computational Science written by Angela B. Shiflet and published by Princeton University Press. This book was released on 2014-03-30 with total page 857 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential introduction to computational science—now fully updated and expanded Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors

Computational Techniques of the Simplex Method

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Publisher : Springer Science & Business Media
ISBN 13 : 1461502578
Total Pages : 335 pages
Book Rating : 4.79/5 ( download)

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Book Synopsis Computational Techniques of the Simplex Method by : István Maros

Download or read book Computational Techniques of the Simplex Method written by István Maros and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Techniques of the Simplex Method is a systematic treatment focused on the computational issues of the simplex method. It provides a comprehensive coverage of the most important and successful algorithmic and implementation techniques of the simplex method. It is a unique source of essential, never discussed details of algorithmic elements and their implementation. On the basis of the book the reader will be able to create a highly advanced implementation of the simplex method which, in turn, can be used directly or as a building block in other solution algorithms.

Computational Intelligence in Logistics and Supply Chain Management

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Publisher : Springer
ISBN 13 : 3319407228
Total Pages : 176 pages
Book Rating : 4.27/5 ( download)

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Book Synopsis Computational Intelligence in Logistics and Supply Chain Management by : Thomas Hanne

Download or read book Computational Intelligence in Logistics and Supply Chain Management written by Thomas Hanne and published by Springer. This book was released on 2016-07-27 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with complex problems in the fields of logistics and supply chain management and discusses advanced methods, especially from the field of computational intelligence (CI), for solving them. The first two chapters provide general introductions to logistics and supply chain management on the one hand, and to computational intelligence on the other hand. The subsequent chapters cover specific fields in logistics and supply chain management, work out the most relevant problems found in those fields, and discuss approaches for solving them. Chapter 3 discusses problems in the field of production and inventory management. Chapter 4 considers planning activities on a finer level of granularity which is usually denoted as scheduling. In chapter 5 problems in transportation planning such as different types of vehicle routing problems are considered. While chapters 3 to 5 rather discuss planning problems which appear on an operative level, chapter 6 discusses the strategic problem of designing a supply chain or network. The final chapter provides an overview of academic and commercial software and information systems for the discussed applications. There appears to be a gap between general textbooks on logistics and supply chain management and more specialized literature dealing with methods for computational intelligence, operations research, etc., for solving the complex operational problems in these fields. For readers, it is often difficult to proceed from introductory texts on logistics and supply chain management to the sophisticated literature which deals with the usage of advanced methods. This book fills this gap by providing state-of-the-art descriptions of the corresponding problems and suitable methods for solving them.

An Introduction to Computational Science

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Publisher : Springer
ISBN 13 : 3030156796
Total Pages : 470 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis An Introduction to Computational Science by : Allen Holder

Download or read book An Introduction to Computational Science written by Allen Holder and published by Springer. This book was released on 2019-06-18 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides an introduction to the growing interdisciplinary field of computational science. It combines a foundational development of numerical methods with a variety of illustrative applications spread across numerous areas of science and engineering. The intended audience is the undergraduate who has completed introductory coursework in mathematics and computer science. Students gain computational acuity by authoring their own numerical routines and by practicing with numerical methods as they solve computational models. This education encourages students to learn the importance of answering: How expensive is a calculation, how trustworthy is a calculation, and how might we model a problem to apply a desired numerical method? The text is written in two parts. Part I provides a succinct, one-term inauguration into the primary routines on which a further study of computational science rests. The material is organized so that the transition to computational science from coursework in calculus, differential equations, and linear algebra is natural. Beyond the mathematical and computational content of Part I, students gain proficiency with elemental programming constructs and visualization, which are presented in MATLAB syntax. The focus of Part II is modeling, wherein students build computational models, compute solutions, and report their findings. The models purposely intersect numerous areas of science and engineering to demonstrate the pervasive role played by computational science.

Feasibility and Infeasibility in Optimization:

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Publisher : Springer Science & Business Media
ISBN 13 : 0387749322
Total Pages : 283 pages
Book Rating : 4.27/5 ( download)

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Book Synopsis Feasibility and Infeasibility in Optimization: by : John W. Chinneck

Download or read book Feasibility and Infeasibility in Optimization: written by John W. Chinneck and published by Springer Science & Business Media. This book was released on 2007-10-25 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a world leader in the field and aimed at researchers in applied and engineering sciences, this brilliant text has as its main goal imparting an understanding of the methods so that practitioners can make immediate use of existing algorithms and software, and so that researchers can extend the state of the art and find new applications. It includes algorithms on seeking feasibility and analyzing infeasibility, as well as describing new and surprising applications.

Computational Probability

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Publisher : Springer Science & Business Media
ISBN 13 : 0387746765
Total Pages : 220 pages
Book Rating : 4.60/5 ( download)

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Book Synopsis Computational Probability by : John H. Drew

Download or read book Computational Probability written by John H. Drew and published by Springer Science & Business Media. This book was released on 2008-01-08 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title organizes computational probability methods into a systematic treatment. The book examines two categories of problems. "Algorithms for Continuous Random Variables" covers data structures and algorithms, transformations of random variables, and products of independent random variables. "Algorithms for Discrete Random Variables" discusses data structures and algorithms, sums of independent random variables, and order statistics.