This short paper describes the main new features added to SLEPc, the Scalable Library for Eigenvalue Problem Computations, in the last 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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3.14–3.18 版中对 SLEPc 的改进

这篇简短的论文描述了在过去两年半中添加到 SLEPc 的主要新功能，即用于特征值问题计算的可扩展库，对应于五个发布版本。主要的新颖之处在于扩展了SVD具有新问题类型的模块，例如广义 SVD 或双曲 SVD。此外，库的不同部分还进行了许多改进，包括轮廓积分特征求解器、预处理和 GPU 支持。