Titelblatt: Anwendungsliste beginnt ohne "Von"
"Von Personaleinsatz-, Schicht- und Vertretungsplaenen, Fahrtrouten" wird zu "Personaleinsatz-, Schicht- und Vertretungsplaene, Fahrtrouten" - Dativ zu Nominativ, passend zum weggefallenen "Von". Geaendert an EINER Stelle in NEUER_TITEL.md; PDF-Titelseite und Startseite folgen daraus. Das Vorwort traegt denselben Text als Buchprosa und wurde mitgezogen - pruefe_titeltexte() haette es sonst gemeldet. Veroeffentlicht: 5 Dateien uebertragen, alle vierzehn HTTP-Proben richtig. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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**Ein praxisorientiertes Kompendium für Entscheider mit Constraint Programming, Vektor- und Matrixmethoden sowie HiGHS, SciPy, Google OR-Tools und CVXPY.**
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**Ein praxisorientiertes Kompendium für Entscheider mit Constraint Programming, Vektor- und Matrixmethoden sowie HiGHS, SciPy, Google OR-Tools und CVXPY.**
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Von **Personaleinsatz-, Schicht- und Vertretungsplänen, 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.
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**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.
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<!-- Von Personaleinsatz-, Schicht- und Vertretungsplänen, Fahrtrouten, Logistik -->
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2
OR_HTML_04/gesamtdokument.html
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|
||||||
<h1 class="unnumbered" id="optimierte-entscheidungsfindung-mit-python">Optimierte Entscheidungsfindung mit Python</h1>
|
<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>
|
<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>Ein praxisorientiertes Kompendium für Entscheider</strong> mit Constraint Programming, Vektor- und Matrixmethoden sowie HiGHS, SciPy, Google OR-Tools und CVXPY.</p>
|
||||||
<p>Von <strong>Personaleinsatz-, Schicht- und Vertretungsplänen, 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><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>Autor / Herausgeber: Dieter Schlüter</p>
|
<p>Autor / Herausgeber: Dieter Schlüter</p>
|
||||||
<p><dieter(dot)schlueter(atsign)linix(dot)de></p>
|
<p><dieter(dot)schlueter(atsign)linix(dot)de></p>
|
||||||
<p>Stand: 8. September 2026</p>
|
<p>Stand: 8. September 2026</p>
|
||||||
|
|
|
||||||
2
OR_HTML_04/index.html
generated
2
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generated
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|
||||||
<span class="badge badge-violett">CVXPY</span>
|
<span class="badge badge-violett">CVXPY</span>
|
||||||
</div>
|
</div>
|
||||||
<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-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">Von Personaleinsatz-, Schicht- und Vertretungsplänen, 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">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-autor">Autor / Herausgeber: Dieter Schlüter<br>
|
<p class="hero-autor">Autor / Herausgeber: Dieter Schlüter<br>
|
||||||
<dieter(dot)schlueter(atsign)linix(dot)de><br>
|
<dieter(dot)schlueter(atsign)linix(dot)de><br>
|
||||||
Stand: 8. September 2026</p>
|
Stand: 8. September 2026</p>
|
||||||
|
|
|
||||||
2
OR_HTML_04/vorwort.html
generated
2
OR_HTML_04/vorwort.html
generated
|
|
@ -107,7 +107,7 @@
|
||||||
<h1 class="unnumbered" id="optimierte-entscheidungsfindung-mit-python">Optimierte Entscheidungsfindung mit Python</h1>
|
<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>
|
<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>Ein praxisorientiertes Kompendium für Entscheider</strong> mit Constraint Programming, Vektor- und Matrixmethoden sowie HiGHS, SciPy, Google OR-Tools und CVXPY.</p>
|
||||||
<p>Von <strong>Personaleinsatz-, Schicht- und Vertretungsplänen, 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><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>Autor / Herausgeber: Dieter Schlüter</p>
|
<p>Autor / Herausgeber: Dieter Schlüter</p>
|
||||||
<p><dieter(dot)schlueter(atsign)linix(dot)de></p>
|
<p><dieter(dot)schlueter(atsign)linix(dot)de></p>
|
||||||
<p>Stand: 8. September 2026</p>
|
<p>Stand: 8. September 2026</p>
|
||||||
|
|
|
||||||
2
Operations_Research_mit_Python_Version_04.md
generated
2
Operations_Research_mit_Python_Version_04.md
generated
|
|
@ -20,7 +20,7 @@
|
||||||
|
|
||||||
**Ein praxisorientiertes Kompendium für Entscheider** mit Constraint Programming, Vektor- und Matrixmethoden sowie HiGHS, SciPy, Google OR-Tools und CVXPY.
|
**Ein praxisorientiertes Kompendium für Entscheider** mit Constraint Programming, Vektor- und Matrixmethoden sowie HiGHS, SciPy, Google OR-Tools und CVXPY.
|
||||||
|
|
||||||
Von **Personaleinsatz-, Schicht- und Vertretungsplänen, 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.
|
**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.
|
||||||
|
|
||||||
Autor / Herausgeber: Dieter Schlüter
|
Autor / Herausgeber: Dieter Schlüter
|
||||||
|
|
||||||
|
|
|
||||||
Binary file not shown.
|
|
@ -21,7 +21,7 @@
|
||||||
**Ein praxisorientiertes Kompendium für Entscheider** mit Constraint Programming, Vektor-
|
**Ein praxisorientiertes Kompendium für Entscheider** mit Constraint Programming, Vektor-
|
||||||
und Matrixmethoden sowie HiGHS, SciPy, Google OR-Tools und CVXPY.
|
und Matrixmethoden sowie HiGHS, SciPy, Google OR-Tools und CVXPY.
|
||||||
|
|
||||||
Von **Personaleinsatz-, Schicht- und Vertretungsplänen, Fahrtrouten, Logistik und
|
**Personaleinsatz-, Schicht- und Vertretungspläne, Fahrtrouten, Logistik und
|
||||||
Maschinen- und Netzwerkauslastung** über **Energieverteilung und Ressourcenplanung** bis zur
|
Maschinen- und Netzwerkauslastung** über **Energieverteilung und Ressourcenplanung** bis zur
|
||||||
**Portfoliooptimierung und besseren Entscheidungen an den Finanzmärkten** – mit Python
|
**Portfoliooptimierung und besseren Entscheidungen an den Finanzmärkten** – mit Python
|
||||||
modellieren, optimieren und belegbar fundierte Entscheidungen treffen.
|
modellieren, optimieren und belegbar fundierte Entscheidungen treffen.
|
||||||
|
|
|
||||||
|
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<use xlink:href="#DejaVuSans-76" transform="translate(2735.269531 0)"/>
|
<use xlink:href="#DejaVuSans-65" transform="translate(2714.273438 0)"/>
|
||||||
<use xlink:href="#DejaVuSans-65" transform="translate(2794.449219 0)"/>
|
<use xlink:href="#DejaVuSans-69" transform="translate(2775.796875 0)"/>
|
||||||
<use xlink:href="#DejaVuSans-72" transform="translate(2855.972656 0)"/>
|
<use xlink:href="#DejaVuSans-6c" transform="translate(2803.580078 0)"/>
|
||||||
<use xlink:href="#DejaVuSans-74" transform="translate(2897.085938 0)"/>
|
<use xlink:href="#DejaVuSans-75" transform="translate(2831.363281 0)"/>
|
||||||
<use xlink:href="#DejaVuSans-65" transform="translate(2936.294922 0)"/>
|
<use xlink:href="#DejaVuSans-6e" transform="translate(2894.742188 0)"/>
|
||||||
<use xlink:href="#DejaVuSans-69" transform="translate(2997.818359 0)"/>
|
<use xlink:href="#DejaVuSans-67" transform="translate(2958.121094 0)"/>
|
||||||
<use xlink:href="#DejaVuSans-6c" transform="translate(3025.601562 0)"/>
|
<use xlink:href="#DejaVuSans-20" transform="translate(3021.597656 0)"/>
|
||||||
<use xlink:href="#DejaVuSans-75" transform="translate(3053.384766 0)"/>
|
<use xlink:href="#DejaVuSans-75" transform="translate(3053.384766 0)"/>
|
||||||
<use xlink:href="#DejaVuSans-6e" transform="translate(3116.763672 0)"/>
|
<use xlink:href="#DejaVuSans-6e" transform="translate(3116.763672 0)"/>
|
||||||
<use xlink:href="#DejaVuSans-67" transform="translate(3180.142578 0)"/>
|
<use xlink:href="#DejaVuSans-64" transform="translate(3180.142578 0)"/>
|
||||||
<use xlink:href="#DejaVuSans-20" transform="translate(3243.619141 0)"/>
|
|
||||||
<use xlink:href="#DejaVuSans-75" transform="translate(3275.40625 0)"/>
|
|
||||||
<use xlink:href="#DejaVuSans-6e" transform="translate(3338.785156 0)"/>
|
|
||||||
<use xlink:href="#DejaVuSans-64" transform="translate(3402.164062 0)"/>
|
|
||||||
</g>
|
</g>
|
||||||
</g>
|
</g>
|
||||||
<g id="text_12">
|
<g id="text_12">
|
||||||
|
|
|
||||||
|
Before Width: | Height: | Size: 98 KiB After Width: | Height: | Size: 98 KiB |
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Reference in a new issue