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An Interior-Point Algorithm for Linearly Constrained Optimization

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Publication:4018838
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DOI10.1137/0802023zbMath0755.65063OpenAlexW2038703898MaRDI QIDQ4018838

Stephen J. Wright

Publication date: 16 January 1993

Published in: SIAM Journal on Optimization (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/26e5001cd129e85ffc72e5b86e6cc913828cfbad

zbMATH Keywords

global convergencequadratic convergencescalinglinear constraintsgradient projection algorithminterior point algorithmpotential reduction algorithm


Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30)


Related Items

On the formulation and theory of the Newton interior-point method for nonlinear programming, A quadratically convergent scaling newton’s method for nonlinear programming problems, A potential reduction algorithm for linearly constrained convex programming



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