Large-Scale Optimization and Variational Inequalities: Theory and Applications
A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".
Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 2480
Special Issue Editors
Interests: large scale optimization; nonconvex quadratic optimization; portfolio optimization; variational inequalities; financial mathematics
Interests: applied and computational mathematics optimization; iterative methods; variational inequalities; optimization algorithms
Interests: interior point methods; conic optimization; convex optimization
Special Issue Information
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:
- Convex optimization methods;
- Non-convex optimization methods;
- Portfolio optimization;
- Distributed optimization and parallel optimization;
- Variational inequalities;
- 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
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Keywords
- proximal-like algorithms
- augmented and modified Lagrangian methods
- structural optimization
- convex and nonconvex analysis
- portfolio and financial optimization
- structural optimization
- variational inequalities
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