By Shashi Kant Mishra
Pseudolinear features and Optimization is the 1st e-book to concentration solely on pseudolinear capabilities, a category of generalized convex features. It discusses the homes, characterizations, and functions of pseudolinear capabilities in nonlinear optimization problems.
The booklet describes the characterizations of answer units of varied optimization difficulties. It examines multiobjective pseudolinear, multiobjective fractional pseudolinear, static minmax pseudolinear, and static minmax fractional pseudolinear optimization difficulties and their effects. The authors expand those effects to in the neighborhood Lipschitz services utilizing Clarke subdifferentials. in addition they current optimality and duality effects for h-pseudolinear and semi-infinite pseudolinear optimization problems.
The authors move directly to discover the relationships among vector variational inequalities and vector optimization difficulties concerning pseudolinear services. They current characterizations of resolution units of pseudolinear optimization difficulties on Riemannian manifolds in addition to effects on pseudolinearity of quadratic fractional services. The e-book additionally extends n-pseudolinear features to pseudolinear and n-pseudolinear fuzzy mappings and characterizations of answer units of pseudolinear fuzzy optimization difficulties and n-pseudolinear fuzzy optimization difficulties. The textual content concludes with a few purposes of pseudolinear optimization difficulties to health center administration and economics.
This booklet encompasses approximately all of the released literature at the topic in addition to new effects on semi-infinite nonlinear programming difficulties. it is going to be important to readers from mathematical programming, business engineering, and operations management.