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Elements of Concave Analysis and Applications

Prem K. Kythe
€210.80
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advanced mathematical economics textbook
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Complementary Slackness Condition
Concave Function
Convex Feasibility Problem
Convex Function
Convex Set
Convex Subset
Cumulative Distribution Function
economic modeling
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_nobargain
eq_non-fiction
Free Endpoint
Giffen Good
Hicksian Demand
Locally Nonsatiated
Log Concave Density Function
Log Concave Distributions
Log Concave Functions
Marshallian Demand
mathematical optimization
optimal control methods
Optimal Control Problem
Pareto Optimal Point
probability theory applications
quadratic programming
Quasi-concave Functions
Quasi-convex Function
Shephard's Lemma
Slutsky Equation
Strictly Convex
Strictly Quasi-concave
Upward Sloping Demand Curve
Walrasian Demand

Product details

  • ISBN 9781138705289
  • Weight: 703g
  • Dimensions: 156 x 234mm
  • Publication Date: 15 May 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

Concave analysis deals mainly with concave and quasi-concave functions, although convex and quasi-convex functions are considered because of their mutual inherent relationship. The aim of Elements of Concave Analysis and Applications is to provide a basic and self‐contained introduction to concepts and detailed study of concave and convex functions. It is written in the style of a textbook, designed for courses in mathematical economics, finance, and manufacturing design. The suggested prerequisites are multivariate calculus, ordinary and elementary PDEs, and elementary probability theory.

About Prem K. Kythe

Prem K. Kythe is a Professor Emeritus of Mathematics at the University of New Orleans. He is the author/co-author of 11 books and author of 46 research papers. His research interests encompass the fields of complex analysis, continuum mechanics, and wave theory, including boundary element methods, finite element methods, conformal mappings, PDEs and boundary value problems, linear integral equations, computation integration, fundamental solutions of differential operators, Green’s functions, and coding theory.

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