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[CITATION] An Alternative Approach to Solve Quadratic Programming Problem with Homogeneous Constraints

A Khurana, S Singh… - Global Journal of Pure and Applied Mathematics, 2011
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[PDF] from cc.ac.cnX Liu… - SIAM Journal on Optimization, 2011 - link.aip.org
We present a sequential quadratic programming method without using a penalty function or a
filter for solving nonlinear equality constrained optimization. In each iteration, the linearized constraints
of the quadratic programming are relaxed to satisfy two mild conditions; the step-size is ...
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Q Liu… - Neurocomputing, 2011 - Elsevier
Constrained quadratic programming has many applications in scientific and engineering
areas, such as signal and image processing, manufacturing, optimal control, and pattern
recognition. Over the past years, a variety of numerical algorithms have been developed ...
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[PDF] from optimization-online.orgJ Chen… - 2011 - optimization-online.org
Abstract Nonconvex quadratic programming (QP) is an NP-hard problem that optimizes a general
quadratic function over linear constraints. This paper introduces a new global optimization algorithm
for this problem, which combines two ideas from the literature—finite branching based on ...
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[PDF] from optimization-online.orgC Kirches, HG Bock, JP Schlöder… - Optimization Methods & …, 2011 - Taylor & Francis
In this contribution, we address the efficient solution of optimal control problems of dynamic processes
with many controls. Such problems arise, for example, from the outer convexification of integer
control decisions. We treat this optimal control problem class using the direct multiple ...
Cited by 6 - Related articles - All 5 versions

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