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On minimization of a quadratic function with one negative eigenvalue

Minarchenko I., Khamisov O. On minimization of a quadratic function with one negative eigenvalue // Optimization Letters. 2020. DOI: 10.1007/s11590-020-01653-5 It is well known that a quadratic programming minimization problem with one negative eigenvalue is NP-hard. However, in practice one may expect such problems being not so difficult to solve. We suggest to make a single partition of the feasible set in a concave variable only so that a convex approximation of the objective function upon every...

Теги: branch-and-bound method , global optimization , parallel computing , quadratic programming , np-hard , approximate solution , computational comparisons , convex approximation , minimization problems , nonconvex quadratic programs , objective functions , partition se
Раздел: ИСЭМ СО РАН
Cooptimization of thermal power plant flowchart, thermodynamic cycle parameters, and design parameters of components

Kler A.M., Potanina Y.M., Marinchenko A.Y. Cooptimization of thermal power plant flowchart, thermodynamic cycle parameters, and design parameters of components // Energy. Vol.193. ID: 116679. 2020. DOI: 10.1016/j.energy.2019.116679 The improvement in the efficiency of an energy plant depends on a rational development of its flowchart and choice of parameters along with the load schedule, equipment reliability, operating mode, etc. It is advisable to study such complex technical systems with the...

Теги: branch-and-bound method , mathematical modeling , methods of optimization , mixed-integer programming , reversible processes , thermal power plants , combined cycle power plants , earnings , energy efficiency , flowcharting , integer programming , investments , large
Раздел: ИСЭМ СО РАН


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