Computational Management PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Computational Management PDF full book. Access full book title Computational Management.

Computational Management

Computational Management
Author: Srikanta Patnaik
Publisher: Springer Nature
Total Pages: 682
Release: 2021-05-29
Genre: Technology & Engineering
ISBN: 303072929X

Download Computational Management Book in PDF, ePub and Kindle

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

Computational Management Science
Author: Raquel J. Fonseca
Publisher: Springer
Total Pages: 245
Release: 2015-12-22
Genre: Business & Economics
ISBN: 3319204300

Download Computational Management Science Book in PDF, ePub and Kindle

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.


Portfolio Management with Heuristic Optimization

Portfolio Management with Heuristic Optimization
Author: Dietmar G. Maringer
Publisher: Springer Science & Business Media
Total Pages: 238
Release: 2006-07-02
Genre: Business & Economics
ISBN: 0387258531

Download Portfolio Management with Heuristic Optimization Book in PDF, ePub and Kindle

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.


Computational Intelligence in Logistics and Supply Chain Management

Computational Intelligence in Logistics and Supply Chain Management
Author: Thomas Hanne
Publisher: Springer
Total Pages: 176
Release: 2016-07-27
Genre: Business & Economics
ISBN: 3319407228

Download Computational Intelligence in Logistics and Supply Chain Management Book in PDF, ePub and Kindle

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 Techniques of the Simplex Method

Computational Techniques of the Simplex Method
Author: István Maros
Publisher: Springer Science & Business Media
Total Pages: 335
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461502578

Download Computational Techniques of the Simplex Method Book in PDF, ePub and Kindle

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.


Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management

Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management
Author: Andreas Fink
Publisher: Springer
Total Pages: 278
Release: 2008-09-08
Genre: Technology & Engineering
ISBN: 3540693904

Download Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management Book in PDF, ePub and Kindle

Logistics and supply chain management deal with managing the ?ow of goods or services within a company, from suppliers to customers, and along a supply chain where companies act as suppliers as well as customers. As transportation is at the heart of logistics, the design of tra?c and transportation networks combined with the routing of vehicles and goods on the networks are important and demanding planning tasks. The in?uence of transport, logistics, and s- ply chain management on the modern economy and society has been growing steadily over the last few decades. The worldwide division of labor, the conn- tion of distributed production centers, and the increased mobility of individuals lead to an increased demand for e?cient solutions to logistics and supply chain management problems. On the company level, e?cient and e?ective logistics and supply chain management are of critical importance for a company’s s- cessanditscompetitiveadvantage. Properperformanceofthelogisticsfunctions can contribute both to lower costs and to enhanced customer service. Computational Intelligence (CI) describes a set of methods and tools that often mimic biological or physical principles to solve problems that have been di?cult to solve by classical mathematics. CI embodies neural networks, fuzzy logic, evolutionary computation, local search, and machine learning approaches. Researchersthat workinthis areaoften comefromcomputer science,operations research,or mathematics, as well as from many di?erent engineering disciplines. Popular and successful CI methods for optimization and planning problems are heuristic optimization approaches such as evolutionary algorithms, local search methods, and other types of guided search methods.


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

Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques
Author: Marwala, Tshilidzi
Publisher: IGI Global
Total Pages: 326
Release: 2009-04-30
Genre: Computers
ISBN: 1605663379

Download Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques Book in PDF, ePub and Kindle

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


Computational Finance

Computational Finance
Author: Francesco Cesarone
Publisher: Routledge
Total Pages: 284
Release: 2020-06-11
Genre: Business & Economics
ISBN: 1000169030

Download Computational Finance Book in PDF, ePub and Kindle

Computational finance is increasingly important in the financial industry, as a necessary instrument for applying theoretical models to real-world challenges. Indeed, many models used in practice involve complex mathematical problems, for which an exact or a closed-form solution is not available. Consequently, we need to rely on computational techniques and specific numerical algorithms. This book combines theoretical concepts with practical implementation. Furthermore, the numerical solution of models is exploited, both to enhance the understanding of some mathematical and statistical notions, and to acquire sound programming skills in MATLAB®, which is useful for several other programming languages also. The material assumes the reader has a relatively limited knowledge of mathematics, probability, and statistics. Hence, the book contains a short description of the fundamental tools needed to address the two main fields of quantitative finance: portfolio selection and derivatives pricing. Both fields are developed here, with a particular emphasis on portfolio selection, where the author includes an overview of recent approaches. The book gradually takes the reader from a basic to medium level of expertise by using examples and exercises to simplify the understanding of complex models in finance, giving them the ability to place financial models in a computational setting. The book is ideal for courses focusing on quantitative finance, asset management, mathematical methods for economics and finance, investment banking, and corporate finance.


Computational Science — ICCS 2004

Computational Science — ICCS 2004
Author: Marian Bubak
Publisher: Springer
Total Pages: 1376
Release: 2004-05-12
Genre: Computers
ISBN: 3540246886

Download Computational Science — ICCS 2004 Book in PDF, ePub and Kindle

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.


Computational Methods for Risk Management in Economics and Finance

Computational Methods for Risk Management in Economics and Finance
Author: Marina Resta
Publisher: MDPI
Total Pages: 234
Release: 2020-04-02
Genre: Business & Economics
ISBN: 3039284983

Download Computational Methods for Risk Management in Economics and Finance Book in PDF, ePub and Kindle

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.