An Introduction to Optimization with Applications in Machine Learning and Data Analytics (ePub)
(Sprache: Englisch)
The text introduces students to numerous methods in solving a variety of Optimization problems. Also, the narrow focus of most math textbooks is completely dedicated to nonlinear programming, linear programming, combinatorial or convex optimization.
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The text introduces students to numerous methods in solving a variety of Optimization problems. Also, the narrow focus of most math textbooks is completely dedicated to nonlinear programming, linear programming, combinatorial or convex optimization.
Autoren-Porträt von Jeffrey Paul Wheeler
Jeffrey Paul Wheeler earned his PhD in Combinatorial Number Theory from the University of Memphis by extending what had been a conjecture of Erdos on the integers to finite groups. He has published, given talks at numerous schools, and twice been a guest of Trinity College at the University of Cambridge. He has taught mathematics at Miami University (Ohio), the University of Tennessee-Knoxville, the University of Memphis, Rhodes College, the University of Pittsburgh, Carnegie Mellon University, and Duquesne University. He has received numerous teaching awards and is currently in the Department of Mathematics at the University of Pittsburgh. He also occasionally teaches for Pitt's Computer Science Department and the College of Business Administration. Dr. Wheeler's Optimization course was one of the original thirty to participate in the Mathematical Association of America's NSF-funded PIC Math program.
Bibliographische Angaben
- Autor: Jeffrey Paul Wheeler
- 2023, 1. Auflage, 473 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1003803679
- ISBN-13: 9781003803676
- Erscheinungsdatum: 07.12.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 6.85 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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