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Author:   András Prékopa
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of hardcover 1st ed. 1995
Volume:   324
Dimensions:   Width: 16.00cm , Height: 3.10cm , Length: 24.00cm
Weight:   0.937kg
ISBN:  

9789048145522

ISBN 10:   904814552
Pages:   600
Publication Date:   15 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

1. General Theory of Linear Programming. 2. Convex Polyhedra. 3. Special Problems and Methods. 4. Logconcave and Quasi-Concave Measures. 5. Moment Problems. 6. Bounding and Approximation of Probabilities. 7. Statistical Decisions. 8. Static Stochastic Programming Models. 9. Solutions of the Simple Recourse Problem. 10. Convexity Theory of Probabilistic Constrained Problems. 11. Programming under Probabilistic Constraint and Maximizing Probabilities under Constraints. 12. Two-Stage Stochastic Programming Problems. 13. Multi-Stage Stochastic Programming Problems. 14. Special Cases and Selected Applications. 15. Distribution Problems. The Multivariate Normal Distribution.

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