Computational Management

Computational Management Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Computational Management book. This book definitely worth reading, it is an incredibly well-written.

Computational Management Science

Raquel J. Fonseca,Gerhard-Wilhelm Weber,João Telhada
Computational Management Science Book PDF

Author : Raquel J. Fonseca,Gerhard-Wilhelm Weber,João Telhada
Publisher : Springer
Page : 245 pages
File Size : 54,5 Mb
Release : 2015-12-22
Category : Business & Economics
ISBN : 9783319204307

Get Book

Computational Management Science by Raquel J. Fonseca,Gerhard-Wilhelm Weber,João Telhada Pdf

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 Management

Srikanta Patnaik,Kayhan Tajeddini,Vipul Jain
Computational Management Book PDF

Author : Srikanta Patnaik,Kayhan Tajeddini,Vipul Jain
Publisher : Springer Nature
Page : 682 pages
File Size : 50,7 Mb
Release : 2021-05-29
Category : Technology & Engineering
ISBN : 9783030729295

Get Book

Computational Management by Srikanta Patnaik,Kayhan Tajeddini,Vipul Jain Pdf

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 Intelligence in Logistics and Supply Chain Management

Thomas Hanne,Rolf Dornberger
Computational Intelligence in Logistics and Supply Chain Management Book PDF

Author : Thomas Hanne,Rolf Dornberger
Publisher : Springer
Page : 176 pages
File Size : 52,5 Mb
Release : 2016-07-27
Category : Business & Economics
ISBN : 9783319407227

Get Book

Computational Intelligence in Logistics and Supply Chain Management by Thomas Hanne,Rolf Dornberger Pdf

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.

Computational Network Application Tools for Performance Management

Millie Pant,Tarun K. Sharma,Sebastián Basterrech,Chitresh Banerjee
Computational Network Application Tools for Performance Management Book PDF

Author : Millie Pant,Tarun K. Sharma,Sebastián Basterrech,Chitresh Banerjee
Publisher : Springer Nature
Page : 267 pages
File Size : 41,7 Mb
Release : 2019-10-18
Category : Business & Economics
ISBN : 9789813295858

Get Book

Computational Network Application Tools for Performance Management by Millie Pant,Tarun K. Sharma,Sebastián Basterrech,Chitresh Banerjee Pdf

This book explores a range of important theoretical and practical issues in the field of computational network application tools, while also presenting the latest advances and innovations using intelligent technology approaches. The main focus is on detecting and diagnosing complex application performance problems so that an optimal and expected level of system service can be attained and maintained. The book discusses challenging issues like enhancing system efficiency, performance, and assurance management, and blends the concept of system modeling and optimization techniques with soft computing, neural network, and sensor network approaches. In addition, it presents certain metrics and measurements that can be translated into business value. These metrics and measurements can also help to establish an empirical performance baseline for various applications, which can be used to identify changes in system performance. By presenting various intelligent technologies, the book provides readers with compact but insightful information on several broad and rapidly growing areas in the computation network application domain. The book’s twenty-two chapters examine and address current and future research topics in areas like neural networks, soft computing, nature-inspired computing, fuzzy logic and evolutionary computation, machine learning, smart security, and wireless networking, and cover a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book was written to serve a broad readership, including engineers, computer scientists, management professionals, and mathematicians interested in studying tools and techniques for computational intelligence and applications for performance analysis. Featuring theoretical concepts and best practices in computational network applications, it will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of soft computing, neural networks, machine learning, sensor networks, smart security, etc.

Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques

Marwala, Tshilidzi
Computational Intelligence for Missing Data Imputation Estimation and Management Knowledge Optimization Techniques Book PDF

Author : Marwala, Tshilidzi
Publisher : IGI Global
Page : 326 pages
File Size : 54,9 Mb
Release : 2009-04-30
Category : Computers
ISBN : 9781605663371

Get Book

Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques by Marwala, Tshilidzi Pdf

"This book is for those who use data analysis to build decision support systems, particularly engineers, scientists and statisticians"--Provided by publisher.

Computational Intelligence and Soft Computing Applications in Healthcare Management Science

Gul, Muhammet,Celik, Erkan,Mete, Suleyman,Serin, Faruk
Computational Intelligence and Soft Computing Applications in Healthcare Management Science Book PDF

Author : Gul, Muhammet,Celik, Erkan,Mete, Suleyman,Serin, Faruk
Publisher : IGI Global
Page : 322 pages
File Size : 50,6 Mb
Release : 2020-03-06
Category : Medical
ISBN : 9781799825821

Get Book

Computational Intelligence and Soft Computing Applications in Healthcare Management Science by Gul, Muhammet,Celik, Erkan,Mete, Suleyman,Serin, Faruk Pdf

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.

Computational Methods for Risk Management in Economics and Finance

Marina Resta
Computational Methods for Risk Management in Economics and Finance Book PDF

Author : Marina Resta
Publisher : MDPI
Page : 234 pages
File Size : 52,7 Mb
Release : 2020-04-02
Category : Business & Economics
ISBN : 9783039284986

Get Book

Computational Methods for Risk Management in Economics and Finance by Marina Resta Pdf

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 Science — ICCS 2004

Marian Bubak,Geert Dick van Albada,Peter M.A. Sloot,Jack Dongarra
Computational Science ICCS 2004 Book PDF

Author : Marian Bubak,Geert Dick van Albada,Peter M.A. Sloot,Jack Dongarra
Publisher : Springer
Page : 1313 pages
File Size : 48,7 Mb
Release : 2004-05-12
Category : Computers
ISBN : 9783540246886

Get Book

Computational Science — ICCS 2004 by Marian Bubak,Geert Dick van Albada,Peter M.A. Sloot,Jack Dongarra Pdf

The International Conference on Computational Science (ICCS 2004) held in Krak ́ ow, Poland, June 6–9, 2004, was a follow-up to the highly successful ICCS 2003 held at two locations, in Melbourne, Australia and St. Petersburg, Russia; ICCS 2002 in Amsterdam, The Netherlands; and ICCS 2001 in San Francisco, USA. As computational science is still evolving in its quest for subjects of inves- gation and e?cient methods, ICCS 2004 was devised as a forum for scientists from mathematics and computer science, as the basic computing disciplines and application areas, interested in advanced computational methods for physics, chemistry, life sciences, engineering, arts and humanities, as well as computer system vendors and software developers. The main objective of this conference was to discuss problems and solutions in all areas, to identify new issues, to shape future directions of research, and to help users apply various advanced computational techniques. The event harvested recent developments in com- tationalgridsandnextgenerationcomputingsystems,tools,advancednumerical methods, data-driven systems, and novel application ?elds, such as complex - stems, ?nance, econo-physics and population evolution.

Integer Optimization and its Computation in Emergency Management

Zhengtian Wu
Integer Optimization and its Computation in Emergency Management Book PDF

Author : Zhengtian Wu
Publisher : Elsevier
Page : 214 pages
File Size : 43,9 Mb
Release : 2023-02-09
Category : Computers
ISBN : 9780323952040

Get Book

Integer Optimization and its Computation in Emergency Management by Zhengtian Wu Pdf

Studies on integer optimization in emergency management have attracted engineers and scientists from various disciplines such as management, mathematics, computer science, and other fields. Although there are a large number of literature reports on integer planning and emergency events, few books systematically explain the combination of the two. Researchers need a clear and thorough presentation of the theory and application of integer programming methods for emergency management. Integer Optimization and its Computation in Emergency Management investigates the computation theory of integer optimization, developing integer programming methods for emergency management and explores related practical applications. Pursuing a holistic approach, this book establishes a fundamental framework for this topic, intended for graduate students who are interested in operations research and optimization, researchers investigating emergency management, and algorithm design engineers working on integer programming or other optimization applications. Investigates computation theory of integer optimization and integer programming methods for emergency management and related practical applications Systematically provides background and potential applications of integer programming in emergency events, providing specific calculation frameworks and examples Provides a clear and thorough presentation of the theory and application of integer programming methods for emergency management through a holistic approach, establishing a fundamental framework of the topic for the audience

Energy Management—Collective and Computational Intelligence with Theory and Applications

Cengiz Kahraman,Gülgün Kayakutlu
Energy Management Collective and Computational Intelligence with Theory and Applications Book PDF

Author : Cengiz Kahraman,Gülgün Kayakutlu
Publisher : Springer
Page : 554 pages
File Size : 44,8 Mb
Release : 2018-03-21
Category : Technology & Engineering
ISBN : 9783319756905

Get Book

Energy Management—Collective and Computational Intelligence with Theory and Applications by Cengiz Kahraman,Gülgün Kayakutlu Pdf

This book presents a selection of recently developed collective and computational intelligence techniques, which it subsequently applies to energy management problems ranging from performance analysis to economic analysis, and from strategic analysis to operational analysis, with didactic numerical examples. As a form of intelligence emerging from the collaboration and competition of individuals, collective and computational intelligence addresses new methodological, theoretical, and practical aspects of complex energy management problems. The book offers an excellent reference guide for practitioners, researchers, lecturers and postgraduate students pursuing research on intelligence in energy management. The contributing authors are recognized researchers in the energy research field.

An Introduction to Computational Risk Management of Equity-Linked Insurance

Runhuan Feng
An Introduction to Computational Risk Management of Equity Linked Insurance Book PDF

Author : Runhuan Feng
Publisher : CRC Press
Page : 327 pages
File Size : 44,6 Mb
Release : 2018-06-13
Category : Business & Economics
ISBN : 9781351647724

Get Book

An Introduction to Computational Risk Management of Equity-Linked Insurance by Runhuan Feng Pdf

The quantitative modeling of complex systems of interacting risks is a fairly recent development in the financial and insurance industries. Over the past decades, there has been tremendous innovation and development in the actuarial field. In addition to undertaking mortality and longevity risks in traditional life and annuity products, insurers face unprecedented financial risks since the introduction of equity-linking insurance in 1960s. As the industry moves into the new territory of managing many intertwined financial and insurance risks, non-traditional problems and challenges arise, presenting great opportunities for technology development. Today's computational power and technology make it possible for the life insurance industry to develop highly sophisticated models, which were impossible just a decade ago. Nonetheless, as more industrial practices and regulations move towards dependence on stochastic models, the demand for computational power continues to grow. While the industry continues to rely heavily on hardware innovations, trying to make brute force methods faster and more palatable, we are approaching a crossroads about how to proceed. An Introduction to Computational Risk Management of Equity-Linked Insurance provides a resource for students and entry-level professionals to understand the fundamentals of industrial modeling practice, but also to give a glimpse of software methodologies for modeling and computational efficiency. Features Provides a comprehensive and self-contained introduction to quantitative risk management of equity-linked insurance with exercises and programming samples Includes a collection of mathematical formulations of risk management problems presenting opportunities and challenges to applied mathematicians Summarizes state-of-arts computational techniques for risk management professionals Bridges the gap between the latest developments in finance and actuarial literature and the practice of risk management for investment-combined life insurance Gives a comprehensive review of both Monte Carlo simulation methods and non-simulation numerical methods Runhuan Feng is an Associate Professor of Mathematics and the Director of Actuarial Science at the University of Illinois at Urbana-Champaign. He is a Fellow of the Society of Actuaries and a Chartered Enterprise Risk Analyst. He is a Helen Corley Petit Professorial Scholar and the State Farm Companies Foundation Scholar in Actuarial Science. Runhuan received a Ph.D. degree in Actuarial Science from the University of Waterloo, Canada. Prior to joining Illinois, he held a tenure-track position at the University of Wisconsin-Milwaukee, where he was named a Research Fellow. Runhuan received numerous grants and research contracts from the Actuarial Foundation and the Society of Actuaries in the past. He has published a series of papers on top-tier actuarial and applied probability journals on stochastic analytic approaches in risk theory and quantitative risk management of equity-linked insurance. Over the recent years, he has dedicated his efforts to developing computational methods for managing market innovations in areas of investment combined insurance and retirement planning.

Computational Methods in Financial Engineering

Erricos Kontoghiorghes,Berc Rustem,Peter Winker
Computational Methods in Financial Engineering Book PDF

Author : Erricos Kontoghiorghes,Berc Rustem,Peter Winker
Publisher : Springer Science & Business Media
Page : 425 pages
File Size : 45,7 Mb
Release : 2008-02-26
Category : Business & Economics
ISBN : 9783540779582

Get Book

Computational Methods in Financial Engineering by Erricos Kontoghiorghes,Berc Rustem,Peter Winker Pdf

Computational models and methods are central to the analysis of economic and financial decisions. Simulation and optimisation are widely used as tools of analysis, modelling and testing. The focus of this book is the development of computational methods and analytical models in financial engineering that rely on computation. The book contains eighteen chapters written by leading researchers in the area on portfolio optimization and option pricing; estimation and classification; banking; risk and macroeconomic modelling. It explores and brings together current research tools and will be of interest to researchers, analysts and practitioners in policy and investment decisions in economics and finance.

Effective Databases for Text & Document Management

Shirley A. Becker
Effective Databases for Text Document Management Book PDF

Author : Shirley A. Becker
Publisher : IGI Global
Page : 390 pages
File Size : 52,8 Mb
Release : 2003-01-01
Category : Computers
ISBN : 1931777470

Get Book

Effective Databases for Text & Document Management by Shirley A. Becker Pdf

"Focused on the latest research on text and document management, this guide addresses the information management needs of organizations by providing the most recent findings. How the need for effective databases to house information is impacting organizations worldwide and how some organizations that possess a vast amount of data are not able to use the data in an economic and efficient manner is demonstrated. A taxonomy for object-oriented databases, metrics for controlling database complexity, and a guide to accommodating hierarchies in relational databases are provided. Also covered is how to apply Java-triggers for X-Link management and how to build signatures."

Computational Thinking for Problem Solving and Managerial Mindset Training

Dall'Acqua, Luisa
Computational Thinking for Problem Solving and Managerial Mindset Training Book PDF

Author : Dall'Acqua, Luisa
Publisher : IGI Global
Page : 293 pages
File Size : 52,9 Mb
Release : 2021-06-25
Category : Business & Economics
ISBN : 9781799871286

Get Book

Computational Thinking for Problem Solving and Managerial Mindset Training by Dall'Acqua, Luisa Pdf

The cultural, social, and economic history of mankind is characterized by a succession of needs and problems that have stimulated the invention of operational and conceptual tools to facilitate their solution. The continuous presentation of new needs, an attempt to improve partial solutions to old problems, curiosity, and the disinterested search for knowledge then constituted the fundamental push for scientific, cultural, economic, and social progress. In an increasingly digital society, where software technological tools permeate daily life and, consequently, change the management of reality, mastering of transversal skills is crucial for success. Computational thinking is a set of transversal skills related to the foundations of computer science as a scientific discipline and means a mastering to the process of solving problems. The goal of computational thinking is to acquire interpretative perspectives of reality, which allows one to read the digital experience competently and responsibly. Computational Thinking for Problem Solving and Managerial Mindset Training explores how individuals can be trained into managerial mindsets through computational thinking and computer science. It explores how computer science can be used as a valid guideline to develop skills such as effective soft skills, communication skills, and collaboration. Further, the chapters explore the adoption of computational thinking for individuals to gain managerial mindsets and successfully solve questions and problems in their domain of interest. This will include artificial intelligence applications, strategic thinking, management training, ethics, emergency managerial mindsets, and more. This book is valuable for managers, professionals, practitioners, researchers, academicians, and students interested in how computational thinking can be applied for the training of managerial mindsets.

Risk and Financial Management

Charles S. Tapiero
Risk and Financial Management Book PDF

Author : Charles S. Tapiero
Publisher : John Wiley & Sons
Page : 364 pages
File Size : 54,9 Mb
Release : 2004-04-23
Category : Mathematics
ISBN : 0470849088

Get Book

Risk and Financial Management by Charles S. Tapiero Pdf

Financial risk management has become a popular practice amongst financial institutions to protect against the adverse effects of uncertainty caused by fluctuations in interest rates, exchange rates, commodity prices, and equity prices. New financial instruments and mathematical techniques are continuously developed and introduced in financial practice. These techniques are being used by an increasing number of firms, traders and financial risk managers across various industries. Risk and Financial Management: Mathematical and Computational Methods confronts the many issues and controversies, and explains the fundamental concepts that underpin financial risk management. Provides a comprehensive introduction to the core topics of risk and financial management. Adopts a pragmatic approach, focused on computational, rather than just theoretical, methods. Bridges the gap between theory and practice in financial risk management Includes coverage of utility theory, probability, options and derivatives, stochastic volatility and value at risk. Suitable for students of risk, mathematical finance, and financial risk management, and finance practitioners. Includes extensive reference lists, applications and suggestions for further reading. Risk and Financial Management: Mathematical and Computational Methods is ideally suited to both students of mathematical finance with little background in economics and finance, and students of financial risk management, as well as finance practitioners requiring a clearer understanding of the mathematical and computational methods they use every day. It combines the required level of rigor, to support the theoretical developments, with a practical flavour through many examples and applications.