There are, generally speaking, two types of people in the mathematical optimization software field: • Optimization solver developers: The technical experts who devise and implement the algorithms that ...

Enterprises across the business spectrum are accelerating their adoption of AI technologies, with 83% of companies reporting that they boosted their budgets for AI over the past year and 75% stating ...

Gurobi Optimization, LLC – which produces the fast mathematical optimization solver, the Gurobi Optimizer – today released the inaugural edition of its annual State of Mathematical Optimization Report ...

Logistical chaos is not a new phenomenon in the supply-chain world, but the scale of upheaval caused by COVID-19 is something that stakeholders have never seen before: 94% of Fortune 1000 companies ...

Mathematical modelling and optimisation in packing problems constitute a critical research area that combines advanced algorithms, rigorous analytical formulations, and practical applications. This ...

Supply chains consist of imperfect humans struggling to make perfect decisions. In the end, though, it all comes down to a game of numbers. That, at least, is the theory behind mathematical ...

Learning a new skill can be difficult, especially when it’s relatively complex. It’s often hard to keep definitions, concepts, and descriptions straight when you’re trying to make inroads into an area ...

Professor Ruszczynski’s interests are in the theory, numerical methods and applications of stochastic optimization. He is author of "Nonlinear Optimization", "Lectures on Stochastic programming", and ...

Optimization seeks to find the best. It could be to design a process that minimizes capital or maximizes material conversion, to choose operating conditions that maximize throughput or minimize waste, ...