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 ...
If you're struggling with math, these best math AI tools can help you solve those complex problems and equations with ease.
GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...
"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.
Traffic modeling has been of interest to mathematicians since the 1950s. Research in the area has only grown as road traffic control presents an ever-increasing problem. In a new paper, authors ...
Scientists have designed a novel processor architecture that can solve combinatorial optimization problems much faster than existing ones. Combinatorial optimization are complex problems that show up ...
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 ...
Korea JoongAng Daily on MSN
Korean mathematician solves decades-old 'moving sofa problem'
A 31-year-old Korean mathematician solved one of the oldest math puzzles and was recognized as one of Scientific American’s top math breakthroughs of 2025.
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