Products in Computer Science and Operations Research
|Linear Programming: Methods and Applications: Fifth Edition |
by Dr. Saul I. Gass
Comprehensive, well-organized volume, suitable for undergraduates, covers theoretical, computational, and applied areas in linear programming. Expanded, updated edition; useful both as a text and as a reference book. 1995 edition.
|Mathematical Economics |
by Kelvin Lancaster
Complete, rigorous expositions of economic models analyzed primarily according to their mathematical properties. Optimizing theory, static and dynamic models, mathematical reviews, more.
|Mathematical Modelling Techniques |
by Rutherford Aris
"Engaging." — Applied Mathematical Modelling. A theoretical chemist and engineer discusses the types of models — finite, statistical, stochastic, and more — as well as how to formulate and manipulate them for best results.
|Mathematical Programming |
by Steven Vajda
This classic by a well-known expert explores both theory and applications. It focuses on linear programming, in addition to other programming topics, and features numerous worked-out examples and problems. 1961 edition.
|Mathematical Theory of Computation |
by Zohar Manna
Attempting to make into a science the art of verifying computer programs (debugging), the author addresses both practical and theoretical aspects. This self-contained treatment includes selected concepts of computability theory and mathematical logic.
|Mathematics for Operations Research |
by W. H. Marlow
Effective procedures for mathematical tasks in many fields: resolving linear independence, finding null spaces and factors of matrices, differentiating vectors and matrices by chain rule, many more. Techniques illustrated in examples. 1,300 problems. 1978 edition.
by Robert Dixon
Stimulating, unique book explores mathematical drawing through compass constructions and computer graphics. Over 100 full-page drawings: five-point egg, golden ratio, plughole vortex, blancmange curve, more. Exercises. 1987 edition.
|Methods of Operations Research |
by Philip M. Morse, George E. Kimball, Dr. Saul I. Gass
Operations research originated during World War II with the military's need for a scientific method of providing executives with a quantitative decision-making basis. This text explores strategical kinematics, tactical analysis, gunnery and bombardment problems, more.
|Multiobjective Programming and Planning |
by Jared L. Cohon
This text takes a broad view of multiobjective programming, emphasizing the methods most useful for continuous problems. It reviews methods in the context of public decision-making problems. 1978 edition.
|Nonlinear Programming: Analysis and Methods |
by Mordecai Avriel
This text provides an excellent bridge between principal theories and concepts and their practical implementation. Topics include convex programming, duality, generalized convexity, analysis of selected nonlinear programs, techniques for numerical solutions, and unconstrained optimization methods.
|A Short Course in Discrete Mathematics |
by Edward A. Bender, S. Gill Williamson
Explores Boolean functions and computer arithmetic; logic; number theory and cryptography; sets and functions; equivalence and order; and induction, sequences, and series. Assumes some familiarity with calculus. Original 2005 edition.
|Stochastic Models in Operations Research, Vol. II: Stochastic Optimization |
by Daniel P. Heyman, Matthew J. Sobel
The 2nd of a graduate-level 2-volume set introduces myopic optimal policies, Markov decision processes, generalizations of MDPs and related computational considerations, monotone optimal policies, and sequential games. 1984 edition. Includes 43 figures and 50 tables.
|Theory of Scheduling |
by Richard W. Conway, William L. Maxwell, Louis W. Miller
This comprehensive text explores the mathematical models underlying the theory of scheduling. Organized according to scheduling problem type, it examines 3 solution techniques: algebraic, probabilistic, and Monte Carlo simulation by computer. 1967 edition.