One of the most well-known approximations in physics is the spherical cow. For generations, physicists have treated cows as spheres, a simplifying assumption to make the math easier. However, this ...

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

Abstract: In this article, the optimal parking trajectory planning problem with chance constraints is considered. A conservative approximation-based method is presented to handle the chance ...

Abstract: Community detection is an important problem in unsupervised learning. This letter proposes to solve a projection matrix approximation problem with an additional entrywise bounded constraint.

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For the first time in its 95-year history, the Institute for Advanced Study (IAS) in Princeton, NJ, has appointed a woman as a permanent professor in its School of Mathematics. Last summer, computer ...

Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. As soon as an appropriate mathematical model is developed, it can ...

The State Senate acquitted the attorney general on charges of corruption and abuse of office, but he still faces trial on securities fraud charges and a federal corruption investigation. By Edgar ...

Two weeks ago, a modest-looking paper was uploaded to the arXiv preprint server with the unassuming title “On the invariant subspace problem in Hilbert spaces”. The paper is just 13 pages long and its ...