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5 produkter
Interior Point Methods for Linear Optimization
Av Cornelis Roos, Tamás Terlaky m. fl.
Inbunden, 2005
552 kr
Lägg i varukorg
Interior Point Methods for Linear Optimization is a comprehensive, thorough textbook on interior point methods (IPMs). The era of IPMs was initiated by N. Karmarkar’s 1984 paper, which triggered turbulent research and reshaped almost all areas of optimization theory and computational practice. This …
Interior Point Methods for Linear Optimization
Av J.-Ph. Vial, Tamas Terlaky m. fl.
E-bok, 2006
734 kr
Lägg i varukorg
Interior Point Methods for Linear Optimization is a comprehensive, thorough textbook on interior point methods (IPMs). The era of IPMs was initiated by N. Karmarkar’s 1984 paper, which triggered turbulent research and reshaped almost all areas of optimization theory and computational practice. This …
Self-Regularity
A New Paradigm for Primal-Dual Interior-Point Algorithms
Av Jiming Peng, Cornelis Roos m. fl.
Häftad, 2002
1682 kr
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Research on interior-point methods (IPMs) has dominated the field of mathematical programming for the last two decades. Two contrasting approaches in the analysis and implementation of IPMs are the so-called small-update and large-update methods, although, until now, there has been a notorious gap …
Self-Regularity
A New Paradigm for Primal-Dual Interior-Point Algorithms
Av Tamas Terlaky, Cornelis Roos m. fl.
E-bok, 2009
1312 kr
Lägg i varukorg
Research on interior-point methods (IPMs) has dominated the field of mathematical programming for the last two decades. Two contrasting approaches in the analysis and implementation of IPMs are the so-called small-update and large-update methods, although, until now, there has been a notorious gap …
Interior Point Methods for Linear Optimization
Av Cornelis Roos, Tamás Terlaky m. fl.
Häftad, 2010
552 kr
Lägg i varukorg
Interior Point Methods for Linear Optimization is a comprehensive, thorough textbook on interior point methods (IPMs). The era of IPMs was initiated by N. Karmarkar’s 1984 paper, which triggered turbulent research and reshaped almost all areas of optimization theory and computational practice. This …
