It takes the average reader 4 hours and 58 minutes to read Generalized Convexity and Vector Optimization by Shashi K. Mishra
Assuming a reading speed of 250 words per minute. Learn more
The present lecture note is dedicated to the study of the optimality conditions and the duality results for nonlinear vector optimization problems, in ?nite and in?nite dimensions. The problems include are nonlinear vector optimization problems, s- metric dual problems, continuous-time vector optimization problems, relationships between vector optimization and variational inequality problems. Nonlinear vector optimization problems arise in several contexts such as in the building and interpretation of economic models; the study of various technolo- cal processes; the development of optimal choices in ?nance; management science; production processes; transportation problems and statistical decisions, etc. In preparing this lecture note a special effort has been made to obtain a se- contained treatment of the subjects; so we hope that this may be a suitable source for a beginner in this fast growing area of research, a semester graduate course in nonlinear programing, and a good reference book. This book may be useful to theoretical economists, engineers, and applied researchers involved in this area of active research. The lecture note is divided into eight chapters: Chapter 1 brie?y deals with the notion of nonlinear programing problems with basic notations and preliminaries. Chapter 2 deals with various concepts of convex sets, convex functions, invex set, invex functions, quasiinvex functions, pseudoinvex functions, type I and generalized type I functions, V-invex functions, and univex functions.
Generalized Convexity and Vector Optimization by Shashi K. Mishra is 294 pages long, and a total of 74,676 words.
This makes it 99% the length of the average book. It also has 91% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 48 minutes to read Generalized Convexity and Vector Optimization aloud.
Generalized Convexity and Vector Optimization is suitable for students ages 12 and up.
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