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Linear complementarity, linear and nonlinear programming

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The article was published on 1988-01-01 and is currently open access. It has received 1012 citations till now. The article focuses on the topics: Mixed complementarity problem & Complementarity theory.

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Book ChapterDOI

Concave Minimization: Theory, Applications and Algorithms

TL;DR: The purpose of this chapter is to present the essential elements of the theory, applications, and solution algorithms of concave minimization, including three fundamental classes of solution approaches that use deterministic (rather than stochastic) methods.
Journal ArticleDOI

On equivalent reformulations for absolute value equations

TL;DR: This note discusses unique solvability of AVE, and its relations with linear complementarity problem (LCP) and mixed integer programming.
Journal ArticleDOI

Multiobjective model predictive control

TL;DR: It is shown that it is possible to compute each Pareto optimal solution as an explicit piecewise affine function of the state vector and of the vector of weights to be assigned to the different objectives in order to get that particular Pare to optimal solution.
Journal ArticleDOI

Pivot rules for linear programming: A survey on recent theoretical developments

TL;DR: The various pivot rules of the simplex method and its variants that have been developed in the last two decades are discussed, starting from the appearance of the minimal index rule of Bland.
Journal ArticleDOI

Multiple impacts with friction in rigid multibody systems

TL;DR: In this paper, an impact model for two-dimensional contact situations is developed which contains the main physical effects of a compliance element in the normal direction and a series of compliance and Coulomb friction elements in the tangential direction.
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