Abstract: Atomic norm minimization ... for non-uniform linear arrays. The simulation results show that the proposed algorithm avoids the grid mismatch effect in DOD and DOA estimation in contrast to ...

Through the introduction of several stochastic programming models such as expectation optimization [14,15], variance minimization ... double strings based on linear programming relaxation and ...

To solve the transformed problem, this article formulates it as a convex problem and decomposes it into the master problem and the slave linear programming problem ... the minimum TCT via the ...

As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

Especially in problems involving large datasets, traditional methods often face computational bottlenecks, whereas quantum computing can easily overcome these limitations.

Master artificial intelligence in 2025 with this comprehensive guide. Explore AI fundamentals, machine learning, deep ...

This study investigates designing a resilient biomass supply chain (BSC) network to mitigate disruption risks under uncertain data. It addresses disaster events causing demand uncertainty without ...

We apply four methods: logistic regression, single index, nonparametric minmax and WYIM to male group over the age of 60 of dataset. We record computing time, linear combination coefficient vector, ...

It has the earliet service start time, latest service start time, and the service duration for all the customers. Travelling time from one node to another is directly proportional to the linear ...