Algorithms for construction of efficient frontier for nonconvex models on the basis of optimization methods

DOI10.1134/S1064562417050337zbMath1390.90397OpenAlexW2766275977MaRDI QIDQ680001

Vladimir E. Krivonozhko, Andrey V. Lychev

Publication date: 22 January 2018

Published in: Doklady Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1064562417050337

zbMATH Keywords

FDH modelsmultidimensional frontiers

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Integer programming (90C10)

Related Items (1)

Frontier visualization and estimation of returns to scale in free disposal hull models

Cites Work

• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
• Measuring the efficiency of decision making units
• On the linearisation of reference technologies for testing returns to scale in FDH models.
• Global and local scale characteristics in convex and nonconvex nonparametric technologies: a first empirical exploration
• Estimating returns to scale using non-parametric deterministic technologies: A new method based on goodness-of-fit
• A note on imposing strong complementary slackness conditions in DEA
• On the estimation of returns-to-scale in FDH models
• A linear programming framework for free disposal hull technologies and cost functions: primal and dual models
• About the structure of boundary points in DEA
• Constructions of economic functions and calculations of marginal rates in DEA using parametric optimization methods

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