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    <title>PyPI recent updates for globoptiml</title>
    <link>https://pypi.org/project/globoptiml/</link>
    <description>Recent updates to the Python Package Index for globoptiml</description>
    <language>en</language>    <item>
      <title>1.0.14</title>
      <link>https://pypi.org/project/globoptiml/1.0.14/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Fri, 13 Mar 2026 12:25:12 GMT</pubDate>
    </item>    <item>
      <title>1.0.13</title>
      <link>https://pypi.org/project/globoptiml/1.0.13/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Thu, 12 Mar 2026 19:10:20 GMT</pubDate>
    </item>    <item>
      <title>1.0.11</title>
      <link>https://pypi.org/project/globoptiml/1.0.11/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Thu, 12 Mar 2026 18:54:22 GMT</pubDate>
    </item>    <item>
      <title>1.0.10</title>
      <link>https://pypi.org/project/globoptiml/1.0.10/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Thu, 12 Mar 2026 18:21:13 GMT</pubDate>
    </item>    <item>
      <title>1.0.9</title>
      <link>https://pypi.org/project/globoptiml/1.0.9/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Thu, 12 Mar 2026 18:03:37 GMT</pubDate>
    </item>    <item>
      <title>1.0.8</title>
      <link>https://pypi.org/project/globoptiml/1.0.8/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Thu, 12 Mar 2026 15:44:28 GMT</pubDate>
    </item>    <item>
      <title>1.0.7</title>
      <link>https://pypi.org/project/globoptiml/1.0.7/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Thu, 12 Mar 2026 11:28:24 GMT</pubDate>
    </item>    <item>
      <title>1.0.6</title>
      <link>https://pypi.org/project/globoptiml/1.0.6/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Wed, 11 Mar 2026 21:57:11 GMT</pubDate>
    </item>    <item>
      <title>1.0.5</title>
      <link>https://pypi.org/project/globoptiml/1.0.5/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Wed, 11 Mar 2026 14:36:18 GMT</pubDate>
    </item>    <item>
      <title>1.0.4</title>
      <link>https://pypi.org/project/globoptiml/1.0.4/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Wed, 11 Mar 2026 13:47:35 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/globoptiml/1.0.3/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Wed, 11 Mar 2026 13:12:21 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/globoptiml/1.0.2/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Wed, 11 Mar 2026 12:41:53 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/globoptiml/1.0.1/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Wed, 11 Mar 2026 12:26:03 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/globoptiml/0.3.1/</link>
      <description>Train neural networks via integer optimisation (CP-SAT) instead of gradient descent.</description>
      <pubDate>Tue, 10 Mar 2026 03:23:50 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/globoptiml/0.3.0/</link>
      <description>Train neural networks via integer optimisation (CP-SAT) instead of gradient descent.</description>
      <pubDate>Tue, 10 Mar 2026 02:47:35 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/globoptiml/0.2.1/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Tue, 10 Mar 2026 01:12:53 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/globoptiml/0.2.0/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Mon, 09 Mar 2026 21:09:53 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/globoptiml/0.1.0/</link>
      <description>Train neural networks via global mathematical optimisation (MINLP) instead of gradient descent.</description>
      <pubDate>Mon, 09 Mar 2026 14:40:04 GMT</pubDate>
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