Parallel algorithms for singular value decomposition (SVD) have risen to prominence as an indispensable tool in high-performance numerical linear algebra. They offer significant improvements in the ...

Three iterative methods for calculation of nth roots (including one proposed by the author) are compared in two ways: (1) Theoretical convergence estimates are given. (2) A new macro-compiler which ...

Based on the preconditioned modified Hermitian and skew-Hermitian splitting (PMHSS) iteration method for the complex symmetric linear system, two improved iterative methods, namely, the modified PMHSS ...

Abstract: It is shown that the application of Jacobi iteration to the linear algebraic equations obtained from the state equations of a linear CNN with constant input by setting the derivatives of the ...

Neural networks are widely adopted in various fields due to their ability to model complex patterns and relationships. However, they face a critical vulnerability to adversarial attacks – small, ...

The variational iteration method [1] is considered the most powerful tool after Newton’s iteration method for solving a wide range of physical problems [2–6]. It has been employed in solving seepage ...

Large language models (LLMs), including GPT-4, LLaMA, and PaLM are pushing the boundaries of artificial intelligence. The inference latency of LLMs plays an important role because of LLMs integration ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

The boundary value problems (BVPs) have attracted the attention of many scientists from both practical and theoretical points of view, for these problems have remarkable applications in different ...