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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

The complexity of recognizing linear systems with certain integrality properties

Feng, Li, 馮麗 January 2007 (has links)
published_or_final_version / abstract / Mathematics / Master / Master of Philosophy

Efficient presolving in linear programming

Sadhana, Vishnu V. January 2002 (has links)
Thesis (M.S.)--University of Florida, 2002. / Title from title page of source document. Document formatted into pages; contains ix, 71 p. Includes vita. Includes bibliographical references.

The complexity of recognizing linear systems with certain integrality properties

Feng, Li, January 2007 (has links)
Thesis (M. Phil.)--University of Hong Kong, 2007. / Title proper from title frame. Also available in printed format.

Linear restoration of bilinear systems

Goeke, Wayne C. January 1979 (has links)
Thesis (M.S.)--University of Wisconsin--Madison. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 147-149).

Risk optimization with p-order conic constraints

Soberanis, Policarpio Antonio. Krokhmal, Pavlo. January 2009 (has links)
Thesis supervisor: Pavlo Krokhmal. Includes bibliographic references (p. 119-122).

A family of linear programming algorithms based on the von Neumann algorithm /

Gonçalves, João P. M. January 2005 (has links)
Thesis (Ph. D.)--Lehigh University, 2005. / Includes vita. Includes bibliographical references (leaves 112-117).

The complexity of the simplex algorithm

Currie, James D. January 1900 (has links)
Thesis (masters)--Carleton University, 1984. / Bibliography: p. 64.

Multicriteria linear fractional programming

Choo, Eng-Ung January 1981 (has links)
The object of this thesis is to study the multi-criteria linear fractional programming problems (MLFP). The characterizations of efficiency, weak efficiency and proper efficiency are derived. In the bicriteria case, the set E of all efficient solutions of (MLFP) is path-connected by a finite number of line segments and the efficient frontier F(E) can be evaluated by using the row parametric technique in linear programming. The weakly efficient (respectively, properly efficient) solutions can be generated by solving the generalized Tchebycheff norm problems (Tβ) (respectively, (βα)) with different parameters β and α. The set E[sup=W] of all weakly efficient solutions of (MLFP) is compact and path-connected by finitely many line segments. A dual problem is formulated which is a natural extension of the usual dual in linear programming, the Wolfe dual in nonlinear programming and the Isermann dual in multiple objective linear programming. Duality results are established under the assumption that the criteria are concave functions. The matrix of the dual variables of (MLFP) can be evaluated by solving L linear programs. A heuristic arrow search algorithm is developed for solving general multicriteria programming problems interactively. The decision maker merely selects his most preferred one amongst-the presented alternatives. Solutions generated are evenly distributed over the desired neighbourhood of the weakly efficient frontier. The algorithm is convergent in the bicriteria case, with appropriate convexity conditions. When applied to solve (MLFP), the arrow search algorithm uses only the linear programming techniques. / Business, Sauder School of / Graduate

Linear Programming : its application in the Philippines

Montalvo, Herminigildo Montemayor January 2010 (has links)
Photocopy of typescript. / Digitized by Kansas Correctional Industries

Theorems of structural and geometric variation for linear and nonlinear finite element analysis

Abu Kassim, Abdul Majid January 1985 (has links)
No description available.

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