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The Discrete Dynamical Functional Particle Method for Solving Constrained Optimization Problems
Örebro University, School of Science and Technology.ORCID iD: 0000-0003-0332-2315
2017 (English)In: Dolomites Research Notes on Approximation, ISSN 2035-6803, Vol. 10, 6-12 p.Article in journal (Refereed) Published
Abstract [en]

The dynamical functional particle method (DFPM) is a method for solving equations by using a damped second order dynamical system. The dynamical system is solved by a symplectic method that is especially tailored for conservative systems. In this work we have extended DFPM to convex optimization problems with constraints. The method is tested on linear eigenvalue problems with normalization and orthogonallity constraints as well as some simple nonlinear convex optimization problems.

Place, publisher, year, edition, pages
Padova University Press, 2017. Vol. 10, 6-12 p.
National Category
Mathematics
Research subject
Mathematics
Identifiers
URN: urn:nbn:se:oru:diva-58979ISI: 000403961900002Scopus ID: 2-s2.0-85019581968OAI: oai:DiVA.org:oru-58979DiVA: diva2:1129094
Available from: 2017-08-01 Created: 2017-08-01 Last updated: 2017-10-18Bibliographically approved

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