Semidefinite programs are convex optimization problems involving a linear objective
function and a domain of positive-semidefinite matrices. Over the past two decades, they …

Climate change will intensify natural disasters, potentially impacting firms' spatial
organization. Using global car industry data and an event-study design, I demonstrate floods …

Highlights•Systematically review 82 model-based design (MBD) toolkits.•Dynamic,
multiscale, and interdisciplinary grand challenges drive software trends.•Organize MBD …

Decision-making problems can be represented as mathematical optimization models,
finding wide applications in fields, such as economics, engineering, transportation, and …

Despite our environment often being uncertain, we generally manage to generate stable
motor behaviors. While reactive control plays a major role in this achievement, proactive …

Hydrogen is seen as a key energy carrier to reduce CO 2 emissions. Two main production
options for hydrogen with low CO 2 intensity are water electrolysis and natural gas reforming …

The discovery of scientific formulae that parsimoniously explain natural phenomena and
align with existing background theory is a key goal in science. Historically, scientists have …

The SCIP Optimization Suite provides a collection of software packages for mathematical
optimization, centered around the constraint integer programming (CIP) framework SCIP …

Nonlinear modeling and optimization is a valuable tool for aiding decisions by engineering
practitioners, but programming an optimization problem based on a complex electrical …

We introduce entanglement witnesses for spin ensembles which detect genuine multipartite
entanglement using only measurements of the total angular momentum. States that are …