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Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Dezember 2018
Genre:	Schulbücher
	B / Economic Theory / Economic theory & philosophy / Economic Theory/Quantitative Economics/Mathematical Methods / Economics, finance, business & management / Mathematical optimization / Mathematics and Statistics / Optimization / Probability & statistics / Quantitative Economics / Statistics / Wirtschaftstheorie und -philosophie / Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management mehr...
ISBN:	9789811348419
EAN-Code:	9789811348419
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Infosys Science Foundation Series Infosys Science Foundation Series in Mathematical Sciences
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	468 gr
Seiten:	291
Illustration:	XI, 291 p.
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.