Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally ...

What do the following—planning an airline hub, political gerrymandering, and a museum renovation—have in common? They’re all problems that can be tackled by mathematicians using a process called ...

This is a preview. Log in through your library . Abstract This paper presents an overview of some recent, and significant, progress in the theory of optimization problems with perturbations. We put ...

The standard quadratic optimization problem (StQP) refers to the problem of minimizing a quadratic form over the standard simplex. Such a problem arises from numerous applications and is known to be ...

Discover how ChatGPT 5 Pro AI shattered expectations by solving a decades-old math problem, marking a new era of AI-human collaboration.

The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...

Modeling and Solving Combinatorial Optimization Problems Using the QUBO Model A surprising development of the last few years has been the emergence of a model, called QUBO (for Quadratic Unconstrained ...

This math problem requires a Goldilocks solution where relatable problems aren’t so simple that there’s no learning but not so complex and irrelevant that there’s no learning. Ted signals a need to ...

In Part 1 of this series on optimization and recovery, we considered two limitations of optimization processes and the light they shed on pseudo-recovery. Let’s now think more about what the ...