Northwestern University

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Inexact Sequential Quadratic Programming Methods for Large-Scale Nonlinear Optimization

Description:

This thesis concerns the development of robust algorithms for large-scale nonlinear programming. Despite recent advancements in high-performance computing power, classes of problems exist that continue to challenge the practical limits of contemporary optimization methods. The focus of this dissertation is the design and analysis of algorithms intended to achieve economy...

Keyword:

inexact linear system solvers, large-scale optimization, Krylov subspace methods, and constrained optimization

Subject:

Industrial Engineering and Management Sciences

Creator:

Frank Edward Curtis

Owner:

Scholarly Digital Publishing

Date Uploaded:

06/26/2018

Date Modified:

06/26/2018

Date Created:

2007-04-24

Resource Type:

Dissertation