Author	Dantzig, George B. author
Title	Linear Programming [electronic resource] : 2: Theory and Extensions / by George B. Dantzig, Mukund N. Thapa
Imprint	New York, NY : Springer New York, 2003
Connect to	http://dx.doi.org/10.1007/b97283
Descript	XXVI, 448 p. online resource

Linear programming represents one of the major applications of mathematics to business, industry, and economics. It provides a methodology for optimizing an output given that is a linear function of a number of inputs. George Dantzig is widely regarded as the founder of the subject with his invention of the simplex algorithm in the 1940's. This second volume is intended to add to the theory of the items discussed in the first volume. It also includes additional advanced topics such as variants of the simplex method; interior point methods (early and current methods), GUB, decomposition, integer programming, and game theory. Graduate students in the fields of operations research, industrial engineering and applied mathematics will find this volume of particular interest

Geometry of Linear Inequality Systems & the Simplex Method -- Duality and Theorems of the Alternatives -- Early Interior-Point Methods -- Interior-Point Methods -- Degeneracy -- Variants of the Simplex Method -- Transportation Problem and Variations -- Network Flow Thegrams -- Generalized Upper Bounds -- Decomposition of Large-Scale Systems -- Stochastic Programming: Introduction -- Two-Stage Stochastic Programs

1. Mathematics
2. Operations research
3. Decision making
4. Mathematical optimization
5. Industrial engineering
6. Production engineering
7. Mathematics
8. Optimization
9. Industrial and Production Engineering
10. Operation Research/Decision Theory