Our systems are now restored following recent technical disruption, and we’re working hard to catch up on publishing. We apologise for the inconvenience caused. Find out more

Recommended product

Popular links

Popular links


Mathematical Programs with Equilibrium Constraints

Mathematical Programs with Equilibrium Constraints

Mathematical Programs with Equilibrium Constraints

Zhi-Quan Luo, McMaster University, Ontario
Jong-Shi Pang, The Johns Hopkins University
Daniel Ralph, University of Melbourne
June 2008
Paperback
9780521065085

    This book provides a solid foundation and an extensive study for an important class of constrained optimization problems known as Mathematical Programs with Equilibrium Constraints (MPEC), which are extensions of bilevel optimization problems. The book begins with the description of many source problems arising from engineering and economics that are amenable to treatment by the MPEC methodology. Error bounds and parametric analysis are the main tools to establish a theory of exact penalisation, a set of MPEC constraint qualifications and the first-order and second-order optimality conditions. The book also describes several iterative algorithms such as a penalty-based interior point algorithm, an implicit programming algorithm and a piecewise sequential quadratic programming algorithm for MPECs. Results in the book are expected to have significant impacts in such disciplines as engineering design, economics and game equilibria, and transportation planning, within all of which MPEC has a central role to play in the modelling of many practical problems.

    • Broad appeal and coverage of topic
    • Diversity of approaches
    • Many illustrative source problems and examples

    Product details

    June 2008
    Paperback
    9780521065085
    428 pages
    229 × 151 × 24 mm
    0.622kg
    4 tables
    Available

    Table of Contents

    • 1. Introduction
    • 2. Exact penalisation of MPEC
    • 3. First-order optimality conditions
    • 4. Verification of MPEC hypotheses
    • 5. Second-order optimality conditions
    • 6. Algorithms for MPEC.