Titlebook: Computational Mathematical Programming; K. L. Hoffman,R. H. F. Jackson,J. Telgen Book 1987Latest edition Springer-Verlag Berlin Heidelberg

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书目名称Computational Mathematical Programming影响因子(影响力)




书目名称Computational Mathematical Programming影响因子(影响力)学科排名




书目名称Computational Mathematical Programming网络公开度




书目名称Computational Mathematical Programming网络公开度学科排名




书目名称Computational Mathematical Programming被引频次




书目名称Computational Mathematical Programming被引频次学科排名




书目名称Computational Mathematical Programming年度引用




书目名称Computational Mathematical Programming年度引用学科排名




书目名称Computational Mathematical Programming读者反馈




书目名称Computational Mathematical Programming读者反馈学科排名

Inelasticity

存心

雄辩

Computer-assisted analysis for diagnosing infeasible or unbounded linear programs,nalysis, after the difficulty has been detected, or for preventive analysis. The first method is by successive reduction of bounds on primal quantities and dual prices. This is the most commonly used method in practice due to the availability of REDUCE procedures in commercial mathematical programmi

dissent

Restricted simplicial decomposition: Computation and extensions,ignment problem and other network flow problems. The “restricted” version of this method allows the user to treat the maximum size of the generated simplices as a parameter. When the parameter is at its minimum value, the method reduces to the Frank-Wolfe algorithm; when at its maximum, the original

oxidize

oxidize

A new algorithm for highly curved constrained optimisation, both the objective function and constraints. At every iteration a subproblem based on the second order approximation of the objective and constraints functions is solved. Three strategies to solve the subproblem are used. Some computational results are given. Although the performance of the subrout

官僚统治

An implementation of an algorithm for univariate minimization and an application to nested optimizating of the corresponding FORTRAN subroutine PQ1, an explanation of its general use and a description of its particular use in solving a practical resource allocation problem via a dual technique requiring nested optimization.

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Fissure

Restricted simplicial decomposition: Computation and extensions,, and linearly constrained problems of the Colville study..Conditions are given for which RSD converges after a finite number of major cycles, and variations of RSD which have potential for real-world applications are developed. These include a quadratic approximation of the master problem and an ex