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 ...

Estimation errors or uncertainities in expected return and risk measures create difficulties for portfolio optimization. The literature deals with the uncertainty using stochastic, fuzzy or ...

FSNet is a new problem-solving tool that can find the optimal solution to an extremely complex problem without violating any of the problem’s many constraints. Developed at MIT, FSNet could help power ...

This paper considers the problem of optimizing the ratio f Tr[VT AV]/Tr [VT BV] over all unitary matrices V with p columns, where A,B are two positive definite matrices. This problem is common in ...

Great progress has been made in the past few years in our understanding of nonconvex optimizations. In this talk, I will share with you three of our works in this direction. In one, we study low-rank ...

Acquisition brings together applied artificial intelligence, agnostic solver orchestration, high performance (HPC) and quantum computing to address businesses' most complex challenges faster, smarter, ...

The UM6P Vanguard Center & The School of Applied Sciences & Engineering at UM6P invite applications for a Scientist in Applied Mathematics, Modeling, and Optimization to contribute to the ...