Large-scale sparse multi-objective optimization problems are prevalent in numerous real-world scenarios, such as neural network training, sparse regression, pattern mining and critical node detection, ...

Problems in engineering can be formulated as numerical function optimization problems 1. Most of these problems are complex in nature with multiple peaks, high dimensions, or non-differentiability.

Awards recognize foundational research that helped shape mixed-integer and nonlinear optimization—and reflect the company’s ...

Awards recognize foundational research that helped shape the fields of mixed-integer and nonlinear optimization-and reflect the company's deep scientific roots. Gurobi Optimization, LLC, the leader ...