Abstract: Deep learning networks have been widely used in sparse array optimization in recent years. However, these networks are designed for a single sparsity rate, which makes them unsuitable for ...

Java 26, due in March with structured concurrency, lazy constants, AOT object caching, and primitive types in patterns, instanceof, and switch, has entered a second rampdown phase for bug fixes. Java ...

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So basically I need to do a linear solve on a block-tridiagonal matrix. I figured I would compare against SparseArrays and a custom routine I just wrote. Here is a MWRE. using Random using ...

A trove of breached data, which has now been taken down, includes user logins for platforms including Apple, Google, and Meta. Among the exposed accounts are ones linked to dozens of governments. In ...

Scott Sellers is the co-founder and CEO of Azul, with 30 years of experience as an entrepreneur and executive in the technology industry. Chances are every time you stream content, buy something ...

Abstract: Sparse linear arrays serve as the fundamental basis for sparse signal processing and have demonstrated remarkable direction-of-arrival (DOA) estimation performance. Due to the merit of ...