Cover of Introduction to Applied Optimization
Read Time: ~5.6 hr

Introduction to Applied Optimization

by Urmila M. Diwekar (2003)

About this book

This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter. Key Features: Provides well-written self-contained chapters, including problem sets and exercises, making it ideal for the classroom setting; Introduces applied optimization to the hazardous waste blending problem; Explores linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control; Includes an extensive bibliography at the end of each chapter and an index; GAMS files of case studies for Chapters 2, 3, 4, 5, and 7 are linked to Solutions manual available upon adoptions. Introduction to Applied Optimization is intended for advanced undergraduate and graduate students and will benefit scientists from diverse areas, including engineers.

Setting / LocationGlobal
Story EraModern Era
Protagonist / CoreIntroduction to Applied Optimization Lead Character

Readers who enjoyed this also loved

Cover of Dynamic Optimization

Dynamic Optimization

Morton I. Kamien and Nancy L. Schwartz

" An excellent financial research tool, this celebrated classic focuses on the methods of solving continuous time problems. The two-part treatment covers the calculus of variations and optimal control. In the decades since its initial publication, this text has defined dynamic optimization courses taught to economics and management science students. 1998 edition"--

Cover of Scheduling Algorithms

Scheduling Algorithms

Peter Brucker

Besides scheduling problems for single and parallel machines and shop scheduling problems the book covers advanced models involving due-dates, sequence dependent changeover times and batching. Also multiprocessor task scheduling and problems with multipurpose machines are discussed. The methods used to solve these problems are linear programming, dynamic programming, branch-and-bound algorithms, and local search heuristics. Complexity results for the different classes of deterministic scheduling problems are summarized. In the third edition of the book the complexity status of the different classes of scheduling problems is updated and corresponding references are added. New polynomial algorithms for single machine problems with release times and constant processing times are added.

Cover of Bioseparations Science and Engineering

Bioseparations Science and Engineering

Roger G. Harrison ... [et al

"Designed for undergraduates, graduate students, and industry practitioners, Bioseparations Science and Engineering fills a critical need in the field. Current, comprehensive, and concise, it covers bioseparations unit operations in greater depth than other texts on this topic. In each of the chapters, the authors use a consistent method of explaining unit operations, starting with a qualitative description noting the significance and general application of the unit operation. They then illustrate the scientific foundation of the operation, develop the required mathematical theory, and finally, describe the applications of the theory in engineering practice, with an emphasis on design and scaleup. Unique to this text is a chapter dedicated to bioseparations process design and economics. In which a process simulator, SuperPro Designer, is used to analyze and evaluate the production of three important biological products. Other unique features include basic information about bioproducts and engineering analysis and a chapter with bioseparations laboratory exercises. Bioseparations Science and Engineering is ideal for students and professionals alike."--BOOK JACKET.

Cover of Mainstream Mathematical Economics in the 20th Century

Mainstream Mathematical Economics in the 20th Century

PierCarlo Nicola

This book presents the contributions of the 20th century to economic theory in a mathematical language and in historical sequence. General equilibrium is the focal point of the book; but also a number of macroeconomic models, especially with respect to the first half of the century, are considered. Dynamic models are extensively studied per se, and not merely as extensions of their static counterparts. The book with its extensive bibliography gives a broad view over the developments in mathematical economics and is therefore an invaluable source of information for researchers and students working in this field.

Introduction to Applied Optimization by Urmila M. Diwekar | Literally Just Books