Lance Fortnow on the current status and future outlook of solving the P-NP problem.
One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...
Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the ...
The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in ...
Mathematicians finally understand the behavior of an important class of differential equations that describe everything from ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
SLSQP stands for Sequential Least Squares Programming. It is a numerical optimization algorithm used to solve constrained nonlinear optimization problems. In this project, we aim to optimize objective ...
We study some nonlinear optimal control problems under state constraint. We construct extremal flows by differential-algebraic equations to solve an optimal control problem subject to mixed ...
You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...
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