Latest Articles for Optimization

This article examines a hybrid method for effective energy optimization in various fields.

Researchers develop spinwave Ising machines for efficient optimization problem solving.

Innovative methods reduce memory use in semidefinite programming for streaming data.

Exploring the role of submodular functions in random variables under negative dependence.

Learn how branch-and-bound tackles complex integer programming challenges with innovative techniques.

New quantum approach enhances routing efficiency in logistics.

A study reviewing different formulations for cutting shapes efficiently.

Explore innovative methods in global optimization using quantum mechanics.

An overview of solving nonlinear variational inequalities using the FASCD method.

Exploring nonnegative matrices and their role in optimization and communication.

An overview of cyclic monotonicity and its impact on transportation problems.

A new algorithm simplifies decision-making in online selection problems.

Learn how to solve related MIP problems more quickly using past solutions.

Exploring the significance and properties of symmetric hyperbolic polynomials.

Exploring the complexities of optimal transportation and the role of Kantorovich potentials.

New algorithms enhance efficiency in solving the Submodular Cover Problem.

New algorithm improves NP problem solving in quantum computing by minimizing operations.

Dynamic anchor methods improve convergence rates in minimax problems.

A look into optimizing functions with constraints for practical decision-making.

A look at new approaches for solving the Dominating Set problem in graphs.

A new approach to string optimization enhances performance in decision-making tasks.

Smoothing methods simplify the challenges of nonsmooth functions in analysis and optimization.

Exploring high-order averaging techniques to improve hybrid system performance.

A look at obstacle problems and the role of Newton differentiability in optimization.

Exploring the impact of Wasserstein distance on Gaussian mixture model analysis.

Recent research enhances our grasp of HJB equations and their applications across various fields.

A new method combines deep learning and ELA to enhance optimization analysis.

This article examines the difficulties in enumerating inclusion-wise minimal separators in graph theory.

A fresh approach for efficient optimization tasks on complex shapes.

Multi-objective reinforcement learning manages competing goals for better decision-making.

An overview of LQR and Kalman Filter in control systems.

A look at variational inequalities and the extragradient method for efficient problem-solving.

An overview of mixed-variable optimization problems and current research advancements.

New methods simplify complex polynomial optimization challenges for better solutions.

This article examines the role of stress-linked pairs in graph rigidity.

This paper discusses a method to enhance VQAs using classical shadows for better efficiency.

Learn how to minimize perimeter when dividing rectangles into smaller parts.

This study presents a new algorithm for efficient job scheduling.

Research extends the applications of matroids and polynomials in complex graph structures.

A look into rigid matroids and their connections in mathematics.