This short article describes the main new features added to SLEPc, the Scalable Library for Eigenvalue Problem Computations, in the past two and a half years, corresponding to five release versions. The main novelty is the extension of the SVD module with new problem types, such as the generalized SVD or the hyperbolic SVD. Additionally, many improvements have been incorporated in different parts of the library, including contour integral eigensolvers, preconditioning, and GPU support.

中文翻译：

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版本 3.14–3.18 中对 SLEPc 的改进

这篇简短的文章介绍了 SLEPc（特征值问题计算的可扩展库）在过去两年半中添加的主要新功能，对应于五个发行版本。主要的新颖之处在于扩展了奇异值分解具有新问题类型的模块，例如广义 SVD 或双曲 SVD。此外，库的不同部分还融入了许多改进，包括轮廓积分特征解算器、预处理和 GPU 支持。