Found 1606 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Randomized Iterative Methods for Linear Systems: Momentum, Inexactness and Gossip

In particular, we are interested in the development of randomized iterative methods for solving large scale linear systems, stochastic quadratic optimization problems, the best approximation problem and quadratic optimization problems. Expand abstract.
77 days ago
7/10 relevant
arXiv

Gradient-Consensus Method for Distributed Optimization in Directed Multi-Agent Networks

In this article, a distributed optimization problem for minimizing a sum, $\sum_{i=1}^n f_i$, of convex objective functions, $f_i,$ is addressed. Expand abstract.
81 days ago
4/10 relevant
arXiv

Second-order optimality conditions for multiobjective optimization problems with constraints

Based on properties of this kind of second-order subdifferentials and techniques of variational analysis, we derive second-order necessary conditions for weak Pareto efficient solutions of multiobjective programming problems with constraints. Expand abstract.
82 days ago
8/10 relevant
arXiv

From feature selection to continuous optimization

The proposed method, called MaNet, is motivated by the fact that most of the DL models often need to solve massive nasty optimization problems consisting of millions of parameters. Expand abstract.
83 days ago
5/10 relevant
arXiv

Minimum size generating partitions and their application to demand fulfillment optimization problems

For $n$ and $k$ integers we introduce the notion of some partition of $n$ being able to generate another partition of $n$. Expand abstract.
83 days ago
10/10 relevant
arXiv

An inexact proximal augmented Lagrangian framework with arbitrary linearly convergent inner solver for composite convex optimization

We propose an inexact proximal augmented Lagrangian framework with explicit inner problem termination rule for composite convex optimization problems. Expand abstract.
83 days ago
4/10 relevant
arXiv

Shape optimization for interface identification in nonlocal models

Here we consider a class of shape optimization problems constrained by nonlocal equations which involve interface-dependent kernels. Expand abstract.
84 days ago
4/10 relevant
arXiv

A consensus-based global optimization method for high dimensional machine learning problems

We first replace the isotropic geometric Brownian motion by the component-wise one, thus removing the dimensionality dependence of the drift rate, making the method more competitive for high dimensional optimization problems. Expand abstract.
84 days ago
7/10 relevant
arXiv

Encoding Selection for Solving Hamiltonian Cycle Problems with ASP

It is common for search and optimization problems to have alternative equivalent encodings in ASP. Expand abstract.
85 days ago
4/10 relevant
arXiv

RUN-CSP: Unsupervised Learning of Message Passing Networks for Binary Constraint Satisfaction Problems

We also extend the framework to work for related optimization problems such as the maximum independent set problem (Max-IS). Expand abstract.
85 days ago
5/10 relevant
arXiv