|
By Subject > Science and Mathematics > Mathematics > Operations Research
Recommendations...
 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.
all books in Operations Research
| |
| |  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.
all books in Operations Research
| |
|
 Dynamic Programming
by Richard Bellman
Introduction to mathematical theory of multistage decision processes takes a "functional equation" approach. Topics include existence and uniqueness theorems, optimal inventory equation, bottleneck problems, multistage games, Markovian decision processes and more. 1957 edition.
all books in Operations Research
| |
| |  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.
all books in Operations Research
| |
|
| Products in Operations Research | | | | | Dynamic Programming
by Richard Bellman
Introduction to mathematical theory of multistage decision processes takes a "functional equation" approach. Topics include existence and uniqueness theorems, optimal inventory equation, bottleneck problems, multistage games, Markovian decision processes and more. 1957 edition.
|
|  | Dynamic Programming: Models and Applications
by Eric V. Denardo
Introduction to sequential decision processes covers use of dynamic programming in studying models of resource allocation, methods for approximating solutions of control problems in continuous time, production control, more. 1982 edition.
|
|  | An Introduction to Mathematical Modeling
by Edward A. Bender
Accessible text features over 100 reality-based examples pulled from the science, engineering and operations research fields. Prerequisites: ordinary differential equations, continuous probability. Numerous references. Includes 27 black-and-white figures. 1978 edition.
|
|  | Linear Programming and Economic Analysis
by Robert Dorfman, Paul A. Samuelson, Robert M. Solow
Clear, comprehensive exposition of interrelation of game theory and linear programming, interrelation of linear programming and modern welfare economics, Leontief theory of input-output, problems of dynamic linear programming, more.
|
|  | Mathematical Modelling Techniques
by Rutherford Aris
Highly useful volume discusses the types of models, how to formulate and manipulate them for best results. Numerous examples.
|
| | 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.
|
| | 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.
|
| |  | 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.
|
|
|
|
