This book provides a comprehensive introduction to nonlinear programming, featuring a broad range of applications and solution methods in the field of continuous optimization. It begins with a summary of classical results on unconstrained optimization, followed by a wealth of applications from a diverse mix of fields, e.g. location analysis, traffic planning, and water quality management, to name but a few. In turn, the book presents a formal description of optimality conditions, followed by an in-depth discussion of the main solution techniques. Each method is formally described, and then fully solved using a numerical example.

Nonlinear Optimization: Methods and Applications (International Series in Operations Research & Management Science, 282)

Business & Money

Sandblom, Carl-Louis

Eiselt, H.A.

Management & Leadership

Springer

Product Description This book provides a comprehensive introduction to nonlinear programming, featuring a broad range of applications and solution methods in the field of continuous optimization. It begins with a summary of classical results on unconstrained optimization, followed by a wealth of applications from a diverse mix of fields, e.g. location analysis, traffic planning, and water quality management, to name but a few. In turn, the book presents a formal description of optimality conditions, followed by an in-depth discussion of the main solution techniques. Each method is formally described, and then fully solved using a numerical example. Review “This textbook presents a nice, well-written overview on solution methods and practical applications of unconstrained and (linearly and nonlinearly) constrained optimization problems.” (Jan-J. Rückmann, Mathematical Reviews, August, 2020) From the Back Cover This book provides a comprehensive introduction to nonlinear programming, featuring a broad range of applications and solution methods in the field of continuous optimization. It begins with a summary of classical results on unconstrained optimization, followed by a wealth of applications from a diverse mix of fields, e.g. location analysis, traffic planning, and water quality management, to name but a few. In turn, the book presents a formal description of optimality conditions, followed by an in-depth discussion of the main solution techniques. Each method is formally described, and then fully solved using a numerical example. About the Author H. A. Eiselt is a Professor in the Faculty of Business Administration at the University of New Brunswick, Canada. After working for eight years at Concordia University in Montreal, he joined the Faculty of Business Administration in Fredericton, New Brunswick, in 1986. He teaches Quantitative Analysis and Location Theory in the BBA program. Dr. Eiselt received the UNB Merit Award in 1991 and 2016. He received the Faculty of Business Administration’s Excellence in Research Award in 1998, 2003, and 2015 for outstanding performance across his career. He is Associate Editor of INFOR, and a member of the Advisory or Editorial Boards of Computers & Operations Research, and the International Journal of Operations, Quantitative Management. He has published 115 articles in scientific journals as well as 12 books, 9 of which with Springer.Carl-Louis Sandblom is Professor Emeritus in the Department of Industrial Engineering at Dalhousie University in Halifax, Canada, an institution where he has been since 1985. Prior to that, Dr. Sandblom taught at Concordia University in Montreal and at the University of Birmingham in the UK where he earned his PhD. He has published about 50 articles in scientific journals as well as 8 books.

Nonlinear Optimization: Methods and Applications (International Series in Operations Research & Management Science)

Operations Research: A Model-Based Approach (Springer Texts in Business and Economics)

This is the third edition of a textbook that has been used in a number of undergraduate courses and covers the standard models and techniques used in decision-making in organizations. The main emphasis of the book is on modelling business-related scenarios and the generation of decision alternatives. Fully solved examples from many areas are used to illustrate the main concepts without getting bogged down in technical details. The book presents an approach to operations research that is heavily based on modelling and makes extensive use of sensitivity analyses. It is the result of the authors' many years of combined teaching experience. The third edition includes new topics such as nonlinear programming and reliability theory, as well as additional material on multi-attribute decision-making. Each chapter includes a number of fully solved problems that allow students to practice or self-study. Additional problems are available on the book's accompanying website.

Elementary Statistics for Business and Economics

Economics

de Gruyter

The purpose of this book is to provide readers with an introduction to the fields of decision making, location analysis, and project and machine scheduling. The combination of these topics is not an accident: decision analysis can be used to investigate decision seenarios in general, location analysis is one of the prime examples of decision making on the strategic Ievel, project scheduling is typically concemed with decision making on the tactical Ievel, and machine scheduling deals with decision making on the operational Ievel. Some of the chapters were originally contributed by different authors, and we have made every attempt to unify the notation, style, and, most importantly, the Ievel of the exposition. Similar to our book on Integer Programming and Network Models (Eiselt and Sandblom, 2000), the emphasis of this volume is on models rather than solution methods. This is particularly important in a book that purports to promote the science of decision making. As such, advanced undergraduate and graduate students, as weil as practitioners, will find this volume beneficial. While different authors prefer different degrees of mathematical sophistication, we have made every possible attempt to unify the approaches, provide clear explanations, and make this volume accessible to as many readers as possible.

Decision Analysis, Location Models, and Scheduling Problems

Reference

The purpose of this book is to provide readers with an introduction to the very active field of integer programming and network models. The idea is to cover the main parts of the field without being too detailed or too technical. As a matter of fact, we found it somewhat surprising that most--especially newer---books are strongly algorithmically oriented. In contrast, the main emphasis of this book is on models rather than methods. This focus expresses our view that methods are tools to solve actual problems and not ends in themselves. As such, graduate (and with some omissions, undergraduate) students may find this book helpful in their studies as will practitioners who would like to get acquainted with a field or use this text as a refresher. This premise has resulted in a coverage that omits material that is standard fare in other books, whereas it covers topics that are only infrequently found elsewhere. There are some, yet relatively few, prerequisites for the reader. Most material that is required for the understanding of more than one chapter is presented in one of the four chapters of the introductory part, which reviews the main results in linear programming, the analysis of algorithms, graphs and networks, and dynamic programming, respectively. Readers who are familiar with the issues involved can safely skip that part. The three main parts of the book rely on intuitive reasoning and examples, whenever practical, instead of theorems and proofs.

Integer Programming and Network Models

Eiselt, H.A. A.

The purpose of this book is to provide readers with an introduction to the very active field of integer programming and network models. The idea is to cover the main parts of the field without being too detailed or too technical. As a matter of fact, we found it somewhat surprising that most--especially newer---books are strongly algorithmically oriented. In contrast, the main emphasis of this book is on models rather than methods. This focus expresses our view that methods are tools to solve actual problems and not ends in themselves. As such, graduate (and with some omissions, undergraduate) students may find this book helpful in their studies as will practitioners who would like to get acquainted with a field or use this text as a refresher. This premise has resulted in a coverage that omits material that is standard fare in other books, whereas it covers topics that are only infrequently found elsewhere. There are some, yet relatively few, prerequisites for the reader. Most material that is required for the understanding of more than one chapter is presented in one of the four chapters of the introductory part, which reviews the main results in linear programming, the analysis of algorithms, graphs and networks, and dynamic programming, respectively. Readers who are familiar with the issues involved can safely skip that part. The three main parts of the book rely on intuitive reasoning and examples, whenever practical, instead of theorems and proofs.

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Books by Sandblom, Carl-Louis

See the best price to sell, buy, or rent books by Sandblom, Carl-Louis. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Nonlinear Optimization: Methods and Applications (International Series in Operations Research & Management Science, 282)

Nonlinear Optimization: Methods and Applications (International Series in Operations Research & Management Science)

Operations Research: A Model-Based Approach (Springer Texts in Business and Economics)

Operations Research: A Model-Based Approach (Springer Texts in Business and Economics)

Elementary Statistics for Business and Economics

Decision Analysis, Location Models, and Scheduling Problems

Integer Programming and Network Models

Decision Analysis, Location Models, and Scheduling Problems

Integer Programming and Network Models