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Optimization is a peer-reviewed journal published by Taylor & Francis, covering Optimization and Variational Analysis, Advanced Optimization Algorithms Research, Fixed Point Theorems Analysis. Over its lifetime it has published 4,794 papers, which have received 45,775 citations.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Numbered (Vancouver/NLM) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. Optimization. 2023;12(3):45–58.
Formats any DOI in Optimization style. No sign-up. |
| Publishes research in | Optimization and Variational Analysis Advanced Optimization Algorithms Research Fixed Point Theorems Analysis Optimization and Mathematical Programming Contact Mechanics and Variational Inequalities |
| ISSN | 0233-1934 |
| Citation impact (2-yr) | 1.25 |
| h-index | 79 |
| i10-index | 1,226 |
| Top institutions publishing here | Institute of Mathematics |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract The Kuhn–Tucker conditions of an optimization problem with inequality constraints are transformed equivalently into a special nonlinear system of equations T 0(z) = 0. It is shown that Newton's method for solving this system combines two valuable properties: The local Q-quadratic convergence without assuming the strict complementary slackness condition and the regularity of the…
Abstract A unified fixed point theoretic framework is proposed to investigate the asymptotic behavior of algorithms for finding solutions to monotone inclusion problems. The basic iterative scheme under consideration involves nonstationary compositions of perturbed averaged nonexpansive operators. The analysis covers proximal methods for common zero problems as well as for various splitting methods for finding…
In this bibliography main directions of research as well as main fields of applications of bilevel programming problems and mathematical programs with equilibrium constraints are summarized. Focus is also on the difficulties arising from nonuniqueness of lower-level optimal solutions and on optimality conditions.
Abstract We present two extensions of Korpelevich's extragradient method for solving the variational inequality problem (VIP) in Euclidean space. In the first extension, we replace the second orthogonal projection onto the feasible set of the VIP in Korpelevich's extragradient method with a specific subgradient projection. The second extension allows projections onto the members of an…
We make use of the auxiliary problem principle to develop iterative algorithms for solving equilibrium problems. The first one is an extension of the extragradient algorithm to equilibrium problems. In this algorithm the equilibrium bifunction is not required to satisfy any monotonicity property, but it must satisfy a certain Lipschitz-type condition. To avoid this requirement…
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