Imagine designing a better battery, discovering a new medicine, or developing a material that ...

Computer-generated holography (CGH) provides an approach to digitally modulate a given wavefront. This technology, partly inherited from optical holography and partly advanced by the progress of ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Enhanced solver enables users to find faster, higher-quality solutions to enterprise-scale optimization problems that can be difficult for classical computingNew learning path helps developers ...

A new ensemble machine learning-based prediction mechanism reinitializes evolutionary algorithm populations after ...

Over the course of my 25-year career in the mathematical optimization software industry, I’ve lost count of how many times I’ve been asked this question: “Can you tell me what mathematical ...

Gurobi Optimization, LLC, the leader in decision intelligence technology, announced the release of its 2026 State of ...

We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct function, apply derivatives, and find maximum or minimum values. Each step is ...

Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is optimization. According to Somani, every breakthrough in the field—from ...

You make decisions every day. Some are big, and some are small. But even the small decisions involve a great deal of complexity. Let me show you what I mean. Take something you probably do regularly: ...