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This volume contains thirty-three selected general research papers devoted to the theory and application of the mathematics of constrained optimization, including linear programming and its extensions to convex programming, general nonlinear programming, integer programming, and programming under uncertainty. Originally published in 1971. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
An adjunct to the increased emphasis on developing students' critical thinking and higher order skills is the need for methods to monitor and evaluate these abilities. These papers provide insight into current techniques and examine possibilities for the future. The contributors to Diagnostic Monitoring of Skill and Knowledge Acquisition focus on two beliefs: that new kinds of tests and assessment methods are needed; and that instruction and learning can be improved by developing new assessment methods based on work in cognitive science.
Proceedings of the Joint Meeting of the Austrian and Swiss Operations Research Societies, Vienna, September 22-24, 1980
Setting out to bridge the gap between the theory of mathematical programming and the varied, real-world practices of industrial engineers, this work introduces developments in linear, integer, multiobjective, stochastic, network and dynamic programing. It details many relevant industrial-engineering applications.;College or university bookstores may order five or more copies at a special student price, available upon request from Marcel Dekker, Inc.
In 1984, Nam Sub, who was then the Assistant Director for Engineering at the National Science Foundation (NSF), created the Design Theory and Methodology Program. Among his goals in creating this program were to develop a science of engineering design and to establish design as an accepted field of engineering research. From 1984 to 1986 this program was directed by Susan Finger; from 1986 to the present Jack Dixon has been the director. The program itself has covered a broad range of disciplines, from chemical engineering to architecture, and a broad range of research paradigms, from psychological experiments to mathematical models. The present volume is based on the second NSF Grantee Workshop on Design Theory and Methodology, called Design Theory '88, which was held June 2-5, 1988 at Rensselaer Polytechnic Institute in Troy, NY, USA. It is, however, not strictly a proceedings since it includes some material that was not presented at a the Workshop and since it omits some papers and discussions that were presented at the Workshop. At the Workshop, invited speakers presented overviews of six different research areas based on summaries submitted in advance by the grantees of the Design Theory and Methodology Program. Since most of the speakers were not supported under the NSF program they brought fresh views to it. The other papers in this book were submitted directly to this volume and were not presented at the Workshop.
Optimization and Operations Research is a component of Encyclopedia of Mathematical Sciences in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The Theme on Optimization and Operations Research is organized into six different topics which represent the main scientific areas of the theme: 1. Fundamentals of Operations Research; 2. Advanced Deterministic Operations Research; 3. Optimization in Infinite Dimensions; 4. Game Theory; 5. Stochastic Operations Research; 6. Decision Analysis, which are then expanded into multiple subtopics, each as a chapter. These four volumes are aimed at the following five major target audiences: University and College students Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.
Developments in Operational Research reviews developments in operational research (OR) and includes numerical examples to illustrate techniques and applications. Topics covered include some of the most widely used OR ""techniques"", such as mathematical programming and simulation, together with the contribution of OR methodology to specific application areas, such as capital investment appraisal and purchasing. This book is comprised of seven chapters and begins with an introduction to the state of mathematical programming systems, along with the relevance of other optimization algorithms to OR and techniques for handling certain types of nonlinearity. The discussion then turns to network optimization techniques and their applications for the New Zealand Justice Department as well as for the wheat and dairy industries. The following chapters focus on computer simulation as applied in OR, with emphasis on various approaches to discrete event modeling; application of OR to industrial maintenance and replacement; financial appraisal methods, including discounting methods; and the use of Bayesian decision analysis to decision making. This text concludes by looking at the purchasing function and the limitations of classical stock control theory in practice. Models and procedures are developed to cope with real situations. Materials requirements planning, quantity discounts, price inflation, commodity purchasing decisions, and blending problems are considered. This monograph will be of interest to planners, decision makers, and others involved in operations research.