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Nonlinear Programming Strategies on High-Performance Computers

Jia Kang(kangjia1127***at***gmail.com)
Naiyuan Chiang(nychiang***at***mcs.anl.gov)
Carl D. Laird(lairdc***at***purdue.edu)
Victor M. Zavala(vzavala***at***mcs.anl.gov)

Abstract: We discuss structured nonlinear programming problems arising in control applications, and we review software and hardware capabilities that enable the efficient exploitation of such structures. We focus on linear algebra parallelization strategies and discuss how these interact and influence high-level algorithmic design elements required to enforce global convergence and deal with negative curvature in a nonconvex setting.

Keywords:

Category 1: Nonlinear Optimization (Constrained Nonlinear Optimization )

Category 2: Nonlinear Optimization (Systems governed by Differential Equations Optimization )

Category 3: Optimization Software and Modeling Systems (Parallel Algorithms )

Citation:

Download: [PDF]

Entry Submitted: 06/30/2015
Entry Accepted: 06/30/2015
Entry Last Modified: 06/30/2015

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