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11 
Extreme point methods for infinite linear programmingLewis, A. January 1986 (has links)
No description available.

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SUCCESSIVE TWO SEGMENT SEPARABLE PROGRAMMING FOR NONLINEAR MINIMAX OPTIMIZATION.Dunatunga, Manimelwadu Samson, 1958 January 1986 (has links)
No description available.

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Investigation and development of efficient integer and integer goal programming systemsMirrazavi, Seyed Keyvan January 1997 (has links)
No description available.

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Reprocessing and model analysis for linear and integer programming modelsAmhemad, Abdella Zidan January 1997 (has links)
No description available.

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Decision modelling and information systems : the interaction of information and decision technologiesKoutsoukis, NikitasSpiros January 1998 (has links)
No description available.

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The weighted maximal planar graph : mathematical formulations and solutionsAbdullah, Ali H. January 2002 (has links)
No description available.

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Geochemistry of metalliferous sediments from the northern Oman ophioliteWilson, Robin A. January 1997 (has links)
A range of siliceous, ferruginous and ferromanganiferous deposits are intercalated with, and overlie the lavas of the Late Cretaceous northern Oman ophiolite. Most of the deposits lie on the upper surface of the spreading event lavas; spreading event magmatism and later seamountbuilding events are coeval to relatively small metalliferous sediment deposits. The mineralogical and geochemical characteristics of these sediments are a function of the interaction between local hydrothermal systems, the marine depositional environment, and early diagenetic transformations. Various techniques are employed to objectively determine the actual endmember component compositions from which the metalliferous sediments formed. The sediments are a mixture of primary biosiliceous oozes and hydrothermal metallic components which were deposited at or near a marginal oceanbasin spreading axis during Cenomanian time. Factor analysis, selective acid leaching experiments and linear programming modelling identify six geologically reasonable endmembers, which represent biosiliceous sediment, carbonate sediment, detrital sediment, hydrogenous sediment, and hydrothermal sediment. The techniques show that the sediments have a complicated hydrothermal history which is associated with the evolution of the Oman ophiolite. The hydrothermal component is subdivided into high temperature and low temperature endmembers which are characteristic of the protoseamount and proto rift event environments respectively. Vent proximal and ventdistal facies are described. The geochemistry of the deposits provides evidence for calcareous pelagic dissolution by hydrothermal fluids, which resulted in the relative concentration of a hyaloclastic component. The deposits which were not earlylithified are epidotized. Metamorphic transformation of the primary sediment occurred prior to eruption of the upper lava unit. The techniques which have been used to describe the range, composition and distribution of the endmember components provide a flexible framework for the characterisation of geological mixing in all marine metalliferous sediments.

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Solving Linear Programming's Transportation ProblemCulp, William E. 05 1900 (has links)
A special case of the linear programming problem, the transportation problem, is the subject of this thesis. The development of a solution to the transportation problem is based on fundamental concepts from the theory of linear algebra and matrices.

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Complex quadratic optimization via semidefinite programming: models and applications. / CUHK electronic theses & dissertations collectionJanuary 2005 (has links)
Finally, as combinatorial applications of complex quadratic optimization; we consider Max 3Cut with fixed nodes constraints, Max 3Dicut with weight constraints, Max 3XOR, and so on, and present corresponding bounds on the approximation ratios. / Quadratic optimization problems with complexvalued decision variables, in short called complex quadratic optimization problems, find many applications in engineering. In this dissertation, we study several instructive models of complex quadratic optimization, as well as its applications in combinatorial optimization. The tool that we use is a combination of semidefinite programming (SDP) relaxation and randomization technique, which has been well exploited in the last decade. Since most of the optimization models are NPhard in nature, we shall design polynomial time approximation algorithms for a general model, or polynomial time exact algorithms for some restricted instances of a general model. / To enable the analysis, we first develop two basic theoretical results: one is the probability formula for a bivariate complex normal distribution vector to be in a prescribed angular region, and the other one is the rankone decomposition theorem for complex positive semidefinite matrices. The probability formula enables us to compute the expected value of a randomized (with a specific rounding rule) solution based on an optimal solution of the SDP relaxation problem, while the rankone decomposition theorem provides a new proof of the complex S lemma and leads to novel deterministic rounding procedures. / With the above results in hand, we then investigate the models and applications of complex quadratic optimization via semidefinite programming in detail. We present an approximation algorithm for a convex quadratic maximization problem with discrete complex decision variables, where the approximation analysis is based on the probability formula. Besides, an approximation algorithm is proposed for a nonconvex quadratic maximization problem with discrete complex decision variables. Then we study a limit of the model, i.e., a quadratic maximization problem with continuous unit module decision variables. The problem is shown to be strongly NPhard. Approximation algorithms are described for the problem, including both convex case and nonconvex case. Furthermore, if the objective matrix has a sign structure, then a stronger approximation result is shown to hold. In addition, we use the complex matrix decomposition theorem to solve complex quadratically constrained complex quadratic programming. We consider several interesting cases for which the corresponding SDP relaxation admits no gap with the true optimal value, and consequently, this yields polynomial time procedures for solving those special cases of complex quadratic optimization. / Huang Yongwei. / "August 2005." / Adviser: Shuzhong Zhang. / Source: Dissertation Abstracts International, Volume: 6707, Section: B, page: 4033. / Thesis (Ph.D.)Chinese University of Hong Kong, 2005. / Includes bibliographical references (p. 142155). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract in English and Chinese. / School code: 1307.

20 
Army Reserve training seat allocation /Brown, Sylvester H. January 2002 (has links) (PDF)
Thesis (M.S.)Naval Postgraduate School, 2002. / Thesis advisor(s): David Olwell, Samuel E. Buttrey. Includes bibliographical references (p. 79). Also available online.

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