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| E-Books | Biblioteca da FCTUNL Online | Não Ficção | T57.8.SPR FCT 94840 (Browse shelf) | 1 | Available |
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| T57.79.SPR FCT 96331 BONUS algorithm for large scale stochastic nonlinear programming problems | T57.8. SPR FCT 94185 Nonlinear optimization with financial applications | T57.8.SPR FCT 94570 Optimization with multivalued mappings | T57.8.SPR FCT 94840 Nonlinear integer programming | T57.9.SPR FCT 94817 Vacation queueing models theory and applications | T57.95.SPR FCT 82206 Handbook of multicriteria analysis | T57.95.SPR FCT 82484 Multicriteria analysis |
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It is not an exaggeration that much of what people devote in their hfe re solves around optimization in one way or another. On one hand, many decision making problems in real applications naturally result in optimization problems in a form of integer programming. On the other hand, integer programming has been one of the great challenges for the optimization research community for many years, due to its computational difficulties: Exponential growth in its computational complexity with respect to the problem dimension. Since the pioneering work of R. Gomory [80] in the late 1950s, the theoretical and methodological development of integer programming has grown by leaps and bounds, mainly focusing on linear integer programming. The past few years have also witnessed certain promising theoretical and methodological achieve ments in nonlinear integer programming. When the first author of this book was working on duality theory for n- convex continuous optimization in the middle of 1990s, Prof. Douglas J. White suggested that he explore an extension of his research results to integer pro gramming. The two authors of the book started their collaborative work on integer programming and global optimization in 1997. The more they have investigated in nonlinear integer programming, the more they need to further delve into the subject. Both authors have been greatly enjoying working in this exciting and challenging field.
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