Mathematical programming theory and methods.
Mathematical Programming, a branch of Operations Research, is perhaps the most efficient technique in making optimal decisions. It has a very wide application in the analysis of management problems, in business and industry, in economic studies, in military problems and in many other fields of our p...
| Κύριος συγγραφέας: | Sinha, Satyabroto. |
|---|---|
| Μορφή: | Ηλεκτρονική πηγή |
| Γλώσσα: | English |
| Στοιχεία έκδοσης: |
Oxford :
Elsevier Science Ltd.,
2005.
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| Θέματα: | |
| Διαθέσιμο Online: |
http://www.sciencedirect.com/science/book/9788131203767 |
| Ετικέτες: |
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Πίνακας περιεχομένων:
- Introduction; MATHEMATICAL FOUNDATIONS; Basic Theory of Sets and Functions; Vector Spaces; Matrices and Determinants; Linear Transformations and Rank; Quadratic Forms and Eigenvalue Problems; Systems of Linear Equations and Linear Inequalities; Convex Sets and Convex Cones; Convex and Concave Functions; LINEAR PROGRAMMING; Linear Programming Problems; Simplex Method: Initial Basic Feasible Solution; Degeneracy in Linear Programming; The Revised Simplex Method; Duality in Linear Programming; Variants of the Simplex Method; Post-Optimization Problems: Sensitivity Analysis and Parametric Programming; Bounded Variable Problems; Transportation Problems; Assignment Problems; The Decomposition Principle for Linear Programs; Polynominal Time Algorithms for Linear Programming; NONLINEAR AND DYNAMIC PROGRAMMING; Nonlinear Programming; Quadratic Programming; Methods of Nonlinear Programming; Duality in Nonlinear Programming; Stochastic Programming; Some Special Topics in Mathematical Programming; Dynamic Programming; Bibliography; Index.