Titlebook: Non-Linear Parametric Optimization; B. Bank,J. Guddat,K. Tammer Book 1982 Springer Basel AG 1982 mathematical programming.mathematics.opti

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書(shū)目名稱(chēng)Non-Linear Parametric Optimization影響因子(影響力)




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書(shū)目名稱(chēng)Non-Linear Parametric Optimization網(wǎng)絡(luò)公開(kāi)度




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書(shū)目名稱(chēng)Non-Linear Parametric Optimization被引頻次




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淘氣

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B. Bank,J. Guddat,D. Klatte,B. Kummer,K. Tammeras Wesen der irreversiblen Prozesse erfa?te und über Boltzmann (1871 und 1879) eine Formulierung mit Hilfe des Wahrscheinlichkeitsbegriffs erfuhr. Die bis heute unbestrittene Universalit?t des II. Hauptsatzes hat Gibbs (1902) damit erkl?rt, da? dieser Satz an keine bestimmte Modellvorstellung im Mik

cunning

B. Bank,J. Guddat,D. Klatte,B. Kummer,K. Tammeras Wesen der irreversiblen Prozesse erfa?te und über Boltzmann (1871 und 1879) eine Formulierung mit Hilfe des Wahrscheinlichkeitsbegriffs erfuhr. Die bis heute unbestrittene Universalit?t des II. Hauptsatzes hat Gibbs (1902) damit erkl?rt, da? dieser Satz an keine bestimmte Modellvorstellung im Mik

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昏暗

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General Introduction,facets of the real-life situation and then only at some level of approximation. In the following considerations we assume that the functional relations between the various quantities of interest have been sufficiently well established. The quality of an optimization model then depends strongly on th

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Properties of Characteristic Parameter Sets for Special Classes of Optimization Problems,to linear normed spaces. We are concerned with characteristic parameter sets for various classes of parametric optimization problems, such sets are the feasible parameter set ? (the set of parameters for which the constraint set is non-empty) and the solubility set A, i.e. the set of parameters for

切掉

On Procedures for Analysing Parametric Optimization Problems,xample . [1], . [1], . [5], and . [1]) and stochastic optimization (. [1], [2], [5], . [1], . [1], [2], and . [7], [8], [11]). The practical exploitation of this potential however involves the need for efficient procedures for the analysis of parameter-dependent optimization problems. It is first ne

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