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    <title>PyPI recent updates for nonconvexAG</title>
    <link>https://pypi.org/project/nonconvexag/</link>
    <description>Recent updates to the Python Package Index for nonconvexAG</description>
    <language>en</language>    <item>
      <title>1.0.16</title>
      <link>https://pypi.org/project/nonconvexag/1.0.16/</link>
      <description>Accelerated gradient methods for nonconvex sparse learning with SCAD and MCP penalties</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Tue, 08 Jul 2025 19:04:40 GMT</pubDate>
    </item>    <item>
      <title>1.1.6</title>
      <link>https://pypi.org/project/nonconvexag/1.1.6/</link>
      <description>Implementation of accelerated gradient algorithm with strong rules for (high-dimensional) nonconvex sparse learning problems. Restarting, memory-mapping, and multiprocessing are now available. Developed by Kai Yang, [GPG Public key Fingerprint: CC02CF153594774CF956691492B2600D18170329](https://keys.openpgp.org/vks/v1/by-fingerprint/CC02CF153594774CF956691492B2600D18170329)</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Fri, 25 Aug 2023 17:51:35 GMT</pubDate>
    </item>    <item>
      <title>0.9.6</title>
      <link>https://pypi.org/project/nonconvexag/0.9.6/</link>
      <description>Implementation of accelerated gradient algorithm with strong rules for (high-dimensional) nonconvex sparse learning problems. Restarting, memory-mapping, and multiprocessing are now available. [GPG Public key Fingerprint: CC02CF153594774CF956691492B2600D18170329](https://keys.openpgp.org/vks/v1/by-fingerprint/CC02CF153594774CF956691492B2600D18170329)</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Fri, 25 Aug 2023 17:39:26 GMT</pubDate>
    </item>    <item>
      <title>1.0.6</title>
      <link>https://pypi.org/project/nonconvexag/1.0.6/</link>
      <description>Implementation of accelerated gradient algorithm with strong rules for (high-dimensional) nonconvex sparse learning problems. Restarting, memory-mapping, and multiprocessing are now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Mon, 16 Jan 2023 02:23:49 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/nonconvexag/1.0.0/</link>
      <description>Implementation of accelerated gradient algorithm with strong rules for (high-dimensional) nonconvex sparse learning problems. Restarting, memory-mapping, and multiprocessing are now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Wed, 04 Jan 2023 20:35:38 GMT</pubDate>
    </item>    <item>
      <title>0.9.5.9</title>
      <link>https://pypi.org/project/nonconvexag/0.9.5.9/</link>
      <description>Implementation of accelerated gradient algorithm with strong rules for (high-dimensional) nonconvex sparse learning problems. Restarting, memory-mapping, and multiprocessing are now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Mon, 31 Oct 2022 04:01:09 GMT</pubDate>
    </item>    <item>
      <title>0.9.5</title>
      <link>https://pypi.org/project/nonconvexag/0.9.5/</link>
      <description>Implementation of accelerated gradient algorithm with strong rules for (high-dimensional) nonconvex sparse learning problems. Restarting, memory-mapping, and multiprocessing are now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Sun, 30 Oct 2022 20:13:38 GMT</pubDate>
    </item>    <item>
      <title>0.9.3</title>
      <link>https://pypi.org/project/nonconvexag/0.9.3/</link>
      <description>Implementation of accelerated gradient algorithm with strong rules for (high-dimensional) nonconvex sparse learning problems. Restarting, memory-mapping, and multiprocessing are now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Sat, 10 Sep 2022 22:02:50 GMT</pubDate>
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