Výsledky vyhledávání - "YAMADA , Syuuji"

Improvement of eigen vector approximation method in DC programming (Study on Nonlinear Analysis and Convex Analysis)

Autor: YAMADA, Syuuji

Publikováno v: 数理解析研究所講究録. 2240:175-183

In this paper, we propose a global optimization algorithm based on a procedure for listing KKT points to solve a quadratic canonical de programming problem (QDC) whose feasible set is expressed as the area excluded the interior of a convex set from a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::b379abb9d4b802611b240a96f6748d46
http://hdl.handle.net/2433/283023

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A procedure of listing KKT points for a quadratic fractional programming problem (Study on Nonlinear Analysis and Convex Analysis)

Autor: YAMADA, Syuuji

Publikováno v: 数理解析研究所講究録. 2214:61-69

In this paper, we consider a quadratic fractional programming problem (QFP) whose feasible set is defined by quadratic convex functions. It is known that such a problem can be transformed into a quadratic dc programming problem (QDP). By incorporatin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::12fa10807344caaa0daf9b502773c1e1
http://hdl.handle.net/2433/275462

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