Large-Scale Optimization and Variational Inequalities: Theory and Applications

Dear Colleagues,

Large-scale optimization is a crucial area of research that deals with optimizing complex systems that involve a large number of variables and constraints. It has a wide range of applications in various fields, such as machine learning, data science, operations research, engineering, and finance.

A Special Issue on large-scale optimization theory and applications could be an excellent platform for researchers and practitioners to share their latest findings and advancements in the field. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

1. Convex optimization methods;
2. Non-convex optimization methods;
3. Portfolio optimization;
4. Distributed optimization and parallel optimization;
5. Variational inequalities;
6. Applications of large-scale optimization in areas such as machine learning, data science, operations research, engineering, and finance.

This Special Issue may also include papers on related topics such as optimization under uncertainty, optimization with constraints, and optimization in dynamic systems.

Overall, a Special Issue on large-scale optimization theory and applications can provide a valuable platform for researchers and practitioners to share their latest findings, discuss challenges and opportunities, and collaborate on advancing the field.

I look forward to receiving your contributions.

Prof. Dr. Abdelouahed Hamdi
Prof. Dr. Abdellah Bnouhachem
Prof. Dr. Maziar Salahi
Dr. Samir Brahim Belhaouari
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Axioms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• proximal-like algorithms
• augmented and modified Lagrangian methods
• structural optimization
• convex and nonconvex analysis
• portfolio and financial optimization
• structural optimization
• variational inequalities