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v2006.03.09 - Convex Optimization

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BIBLIOGRAPHY 629[79] Norbert Gaffke and Rudolf Mathar. A cyclic projection algorithm viaduality. Metrika, 36:29–54, 1989.[80] Jérôme Galtier. Semi-definite programming as a simple extension tolinear programming: convex optimization with queueing, equity andother telecom functionals. In 3ème Rencontres Francophones sur lesAspects Algorithmiques des Télécommunications (AlgoTel). INRIA,France, 2001.www-sop.inria.fr/mascotte/Jerome.Galtier/misc/Galtier01b.pdf .[81] Laurent El Ghaoui and Silviu-Iulian Niculescu, editors. Advances inLinear Matrix Inequality Methods in Control. SIAM, 2000.[82] Philip E. Gill, Walter Murray, and Margaret H. Wright. NumericalLinear Algebra and <strong>Optimization</strong>, volume 1. Addison-Wesley, 1991.[83] Philip E. Gill, Walter Murray, and Margaret H. Wright. Practical<strong>Optimization</strong>. Academic Press, 1999.[84] James Gleik. Isaac Newton. Pantheon Books, 2003.[85] W. Glunt, Tom L. Hayden, S. Hong, and J. Wells. An alternatingprojection algorithm for computing the nearest Euclidean distancematrix. SIAM Journal on Matrix Analysis and Applications,11(4):589–600, 1990.[86] K. Goebel and W. A. Kirk. Topics in Metric Fixed Point Theory.Cambridge University Press, 1990.[87] D. Goldfarb and K. Scheinberg. Interior point trajectoriesin semidefinite programming. SIAM Journal on <strong>Optimization</strong>,8(4):871–886, 1998.[88] Gene H. Golub and Charles F. Van Loan. Matrix Computations. JohnsHopkins, third edition, 1996.[89] P. Gordan. Ueber die auflösung linearer gleichungen mit reellencoefficienten. Mathematische Annalen, 6:23–28, 1873.[90] John Clifford Gower. Euclidean distance geometry. The MathematicalScientist, 7:1–14, 1982.

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