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<h1 class="unnumbered" id="optimierte-entscheidungsfindung-mit-python">Optimierte Entscheidungsfindung mit Python</h1>
<h2 class="unnumbered" id="von-der-mathematischen-modellierung-zu-praktischen-intelligenten-lösungen-für-betrieb-technik-und-finanzmärkte">Von der mathematischen Modellierung zu praktischen intelligenten Lösungen für Betrieb, Technik und Finanzmärkte</h2>
<p><strong>Ein praxisorientiertes Kompendium für Entscheider</strong> mit Constraint Programming, Vektor- und Matrixmethoden sowie HiGHS, SciPy, Google OR-Tools und CVXPY.</p>
<p><strong>Personaleinsatz-, Schicht- und Vertretungspläne, Fahrtrouten, Logistik und Maschinen- und Netzwerkauslastung</strong> über <strong>Energieverteilung und Ressourcenplanung</strong> bis zur <strong>Portfoliooptimierung und besseren Entscheidungen an den Finanzmärkten</strong> – mit Python modellieren, optimieren und belegbar fundierte Entscheidungen treffen.</p>
<p>Mit Python planen, optimieren und entscheiden: von <strong>Personal, Schichten und Logistik</strong> über <strong>Energie, Ressourcen und Netzwerke</strong> bis zur <strong>Portfoliooptimierung an den Finanzmärkten</strong>.</p>
<p>Autor / Herausgeber: Dieter Schlüter</p>
<p>&lt;dieter(dot)schlueter(atsign)linix(dot)de&gt;</p>
<p>Stand: 9. September 2026</p>

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<p class="hero-kompendium"><em>Ein praxisorientiertes Kompendium für Entscheider mit Constraint Programming, Vektor- und Matrixmethoden sowie HiGHS, SciPy, Google OR-Tools und CVXPY.</em></p>
<p class="hero-anwendungen">Personaleinsatz-, Schicht- und Vertretungspläne, Fahrtrouten, Logistik und Maschinen- und Netzwerkauslastung über Energieverteilung und Ressourcenplanung bis zur Portfoliooptimierung und besseren Entscheidungen an den Finanzmärkten – mit Python modellieren, optimieren und belegbar fundierte Entscheidungen treffen.</p>
<p class="hero-anwendungen">Mit Python planen, optimieren und entscheiden: von Personal, Schichten und Logistik über Energie, Ressourcen und Netzwerke bis zur Portfoliooptimierung an den Finanzmärkten.</p>
<p class="hero-autor">Autor / Herausgeber: Dieter Schlüter<br>
&lt;dieter(dot)schlueter(atsign)linix(dot)de&gt;<br>
Stand: 9. September 2026</p>

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OR_HTML_04/vorwort.html generated
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@ -107,7 +107,7 @@
<h1 class="unnumbered" id="optimierte-entscheidungsfindung-mit-python">Optimierte Entscheidungsfindung mit Python</h1>
<h2 class="unnumbered" id="von-der-mathematischen-modellierung-zu-praktischen-intelligenten-lösungen-für-betrieb-technik-und-finanzmärkte">Von der mathematischen Modellierung zu praktischen intelligenten Lösungen für Betrieb, Technik und Finanzmärkte</h2>
<p><strong>Ein praxisorientiertes Kompendium für Entscheider</strong> mit Constraint Programming, Vektor- und Matrixmethoden sowie HiGHS, SciPy, Google OR-Tools und CVXPY.</p>
<p><strong>Personaleinsatz-, Schicht- und Vertretungspläne, Fahrtrouten, Logistik und Maschinen- und Netzwerkauslastung</strong> über <strong>Energieverteilung und Ressourcenplanung</strong> bis zur <strong>Portfoliooptimierung und besseren Entscheidungen an den Finanzmärkten</strong> – mit Python modellieren, optimieren und belegbar fundierte Entscheidungen treffen.</p>
<p>Mit Python planen, optimieren und entscheiden: von <strong>Personal, Schichten und Logistik</strong> über <strong>Energie, Ressourcen und Netzwerke</strong> bis zur <strong>Portfoliooptimierung an den Finanzmärkten</strong>.</p>
<p>Autor / Herausgeber: Dieter Schlüter</p>
<p>&lt;dieter(dot)schlueter(atsign)linix(dot)de&gt;</p>
<p>Stand: 9. September 2026</p>