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Semi-infinite fractional programming

Verma, Ram U.

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Semi-infinite fractional programming

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Semi-infinite fractional programming/ by Ram U. Verma.
作者:	Verma, Ram U.
出版者:	Singapore :Springer Singapore : : 2017.,
面頁冊數:	xi, 291 p. :ill., digital ;24 cm.
內容註:	Higher Order Parametric Optimality Conditions -- Parametric Duality Models -- New Generation Parametric Optimality -- Accelerated Roles for Parametric Optimality -- Semiinfinite Multiobjective Fractional Programming I -- Semiinfinite Multiobjective Fractional Programming II -- Semiinfinite Multiobjective Fractional Programming III -- Hanson-Antczak-type V-invexity I -- Hanson-Antczak-type V-invexity II -- Parameter Optimality in Semiinfinite Fractional Programs -- Semiinfinite Discrete Minmax Fractional Programs -- Next Generation Semiinfinite Discrete Fractional Programs -- Hanson-Antczak-type Sonvexity III -- Semiinfinite Multiobjective Optimization.
Contained By:	Springer eBooks
標題:	Programming (Mathematics) -
電子資源:	http://dx.doi.org/10.1007/978-981-10-6256-8
ISBN:	9789811062568

Semi-infinite fractional programming
Verma, Ram U.

Semi-infinite fractional programming[electronic resource] /by Ram U. Verma. - Singapore :Springer Singapore :2017. - xi, 291 p. :ill., digital ;24 cm. - Infosys science foundation series,2363-6149. - Infosys science foundation series..

Higher Order Parametric Optimality Conditions -- Parametric Duality Models -- New Generation Parametric Optimality -- Accelerated Roles for Parametric Optimality -- Semiinfinite Multiobjective Fractional Programming I -- Semiinfinite Multiobjective Fractional Programming II -- Semiinfinite Multiobjective Fractional Programming III -- Hanson-Antczak-type V-invexity I -- Hanson-Antczak-type V-invexity II -- Parameter Optimality in Semiinfinite Fractional Programs -- Semiinfinite Discrete Minmax Fractional Programs -- Next Generation Semiinfinite Discrete Fractional Programs -- Hanson-Antczak-type Sonvexity III -- Semiinfinite Multiobjective Optimization.

This book presents a smooth and unified transitional framework from generalised fractional programming, with a finite number of variables and a finite number of constraints, to semi-infinite fractional programming, where a number of variables are finite but with infinite constraints. It focuses on empowering graduate students, faculty and other research enthusiasts to pursue more accelerated research advances with significant interdisciplinary applications without borders. In terms of developing general frameworks for theoretical foundations and real-world applications, it discusses a number of new classes of generalised second-order invex functions and second-order univex functions, new sets of second-order necessary optimality conditions, second-order sufficient optimality conditions, and second-order duality models for establishing numerous duality theorems for discrete minmax (or maxmin) semi-infinite fractional programming problems. In the current interdisciplinary supercomputer-oriented research environment, semi-infinite fractional programming is among the most rapidly expanding research areas in terms of its multi-facet applications empowerment for real-world problems, which may stem from many control problems in robotics, outer approximation in geometry, and portfolio problems in economics, that can be transformed into semi-infinite problems as well as handled by transforming them into semi-infinite fractional programming problems. As a matter of fact, in mathematical optimisation programs, a fractional programming (or program) is a generalisation to linear fractional programming. These problems lay the theoretical foundation that enables us to fully investigate the second-order optimality and duality aspects of our principal fractional programming problem as well as its semi-infinite counterpart.

ISBN: 9789811062568

Standard No.: 10.1007/978-981-10-6256-8doiSubjects--Topical Terms:

547124
Programming (Mathematics)

LC Class. No.: QA402.5 / .V476 2017

Dewey Class. No.: 519.7

Semi-infinite fractional programming
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