Latest Articles for Optimization

Explore the role and applications of Simon-Łojasiewicz inequalities in various mathematical fields.

New methods for optimizing choices through preference feedback in complex environments.

A novel method addresses complex optimization issues effectively.

A guide to nonexpansive mappings and their role in finding fixed points.

Explore the concepts of matroids and sandpile groups in mathematics.

A new framework enhances transport methods between varying dimensions and types of spaces.

A look at distant submodular functions and their optimization in various fields.

An overview of multivariate hypercomplex functions and their applications in various fields.

A novel approach improves the efficiency of photonic optimization techniques.

An overview of discounted pseudocosts and their role in MILP efficiency.

This paper discusses a method to speed up solving MINLP problems using paraboloids.

Research is evolving in optimal transport, focusing on efficient mass movement and new algorithms.

This research explores new methods for balancing multiple goals in reinforcement learning.

A study on optimal control methods for non-smooth systems governed by elliptic PDEs.

A flexible approach to tackle nonsmooth and nonconvex optimization problems effectively.

This article discusses efficient algorithms for integer programming and subset sum problems.

This article analyzes co-evolutionary algorithms for binary adversarial optimization problems.

Exploring SAT problems and the significance of diverse solutions in computational theory.

Discover two new methods improving optimization efficiency across various fields.

Discover how proximal-gradient algorithms improve optimization across various fields.

Learn how randomized rounding aids decision-making in uncertain environments.

A new framework improves understanding of local search algorithms and their behavior.

Discover innovative multilevel approaches transforming optimization strategies for complex problems.

A new method enhances efficiency in max-plus algebra calculations.

Exploring algorithms for key geometric optimization challenges and their applications.

Exploring new methods to tackle saddle point challenges in machine learning.

Examine advanced methods for finding shortest paths in Monge directed acyclic graphs.

New algorithms improve efficiency in variational inequality problems across various fields.

Examining how random weights affect optimization problems in various fields.

Research reveals efficient embeddings for complex mathematical spaces.

A new framework for optimizing complex geodesic convex problems in various fields.

Recent research sheds light on spin glasses and their applications across various fields.

Discovering easier methods to apply a key mathematical theorem.

A look at multi-start algorithms for black-box optimization challenges.

A look at how agents solve optimization problems together using gradient-push.

Discover the role of affine semigroups and their lifts in mathematics.

This article examines random points in Orlicz balls and their intersections.

A study on using dynamic systems to locate operator zeros efficiently.

An analysis of LP and LinSup in handling optimization challenges with varying condition numbers.

PAMSO algorithm enhances multi-time scale optimization for better decision-making.