Found 1728 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Optimization with nonstationary, nonlinear monolithic fluid-structure interaction

In the optimization approach, either optimal control or parameter estimation problems are treated. Expand abstract.
101 days ago
4/10 relevant
arXiv

On parametric second-order conic optimization

Furthermore, under primal and dual nondegeneracy conditions, we show that a transition point can be numerically identified from the higher-order derivatives of the Lagrange multipliers associated with a nonlinear reformulation of the parametric second-order conic optimization problem. Expand abstract.
101 days ago
4/10 relevant
arXiv

Discounted Reinforcement Learning Is Not an Optimization Problem

It is not an optimization problem in its usual formulation, so when using function approximation there is no optimal policy. Expand abstract.
105 days ago
7/10 relevant
arXiv

PIETOOLS: A Matlab Toolbox for Manipulation and Optimization of Partial Integral Operators

The result is that PIETOOLS, packaged with SOSTOOLS and MULTIPOLY, offers a scalable, user-friendly and computationally efficient toolbox for parsing, performing algebraic operations, setting up and solving convex optimization problems on PI operators. Expand abstract.
106 days ago
7/10 relevant
arXiv

Scalable Global Optimization via Local Bayesian Optimization

Bayesian optimization has recently emerged as a popular method for the sample-efficient optimization of expensive black-box functions. Expand abstract.
106 days ago
4/10 relevant
arXiv

Global exponential stability of primal-dual gradient flow dynamics based on the proximal augmented Lagrangian: A Lyapunov-based approach

Our quadratic Lyapunov function generalizes recent result from strongly convex problems with either affine equality or inequality constraints to a broader class of composite optimization problems with nonsmooth regularizers and it provides a worst-case lower bound of the exponential decay rate. Expand abstract.
107 days ago
5/10 relevant
arXiv

Discrete Polynomial Optimization with Coherent Networks of Condensates and Complex Coupling Switching

The principle of the operation of such a system lays the ground for physics-inspired computing and the new efficient methods for finding solutions to the higher order binary optimization problems. Expand abstract.
107 days ago
4/10 relevant
arXiv

How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem

As Machine Learning (ML) and deep learning have popularized, several research groups have started to use ML to solve combinatorial optimization problems, such as the well-known Travelling Salesman Problem (TSP). Expand abstract.
111 days ago
5/10 relevant
arXiv

Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision

In this paper, we formulate a generic non-minimal solver using the existing tools of Polynomials Optimization Problems (POP) from computational algebraic geometry. Expand abstract.
113 days ago
4/10 relevant
arXiv

Query Optimization Properties of Modified VBS

More recent studies show that the framework of VBS is also appropriate for representing and solving Bayesian decision problems and optimization problems. Expand abstract.
113 days ago
4/10 relevant
arXiv