Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
GitHub

LCQPow - A Solver for Quadratic Programs with Linear Complementarity Constraints

LCQPow is a open-source solver for Quadratic Programs with Complementarity Constraints. The approach is based on a standard penalty homotopy reformulated using sequential convex programming. The ...
PNAS

Generalizations of the quadratic bound optimization principle

Optimization is a crucial tool throughout science and technology. Large datasets and high dimensional problems create unique challenges for standard optimization techniques such as Newton’s method, ...
GitHub

HiOp - HPC solver for optimization

HiOp is an optimization solver for solving certain mathematical optimization problems expressed as nonlinear programming problems. HiOp is a lightweight HPC solver that leverages application's ...
Interesting Engineering

US engineers’ new way of attacking vision systems can make AI see whatever you want

Engineers have explored a new way of attacking artificial intelligence computer vision systems. They believe that the method can help them to control what the AI “sees.” Called RisingAttacK, the ...
Scientific Research Publishing

Probabilistic Assessment of PV-DG for Optimal Multi-Locations and Sizing Using Genetic Algorithm and Sequential-Time Power Flow ()

This paper presents an optimized strategy for multiple integrations of photovoltaic distributed generation (PV-DG) within radial distribution power systems. The proposed methodology focuses on ...
IEEE

An Inexact Sequential Quadratic Programming Method for Learning and Control of Recurrent Neural Networks

Abstract: This article considers the two-stage approach to solving a partially observable Markov decision process (POMDP): the identification stage and the (optimal) control stage. We present an ...
IEEE

A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria

Abstract: In this work, we propose a numerical method for the solution of local generalized Nash equilibria (GNE) for the class of open-loop general-sum dynamic games for agents with nonlinear ...