Jeffrey Paul Wheeler

eBook, ePUB

An Introduction to Optimization with Applications in Machine Learning and Data Analytics (eBook, ePUB)

Beschreibung

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.

Technische Details

• Geräte: eReader
• mit Kopierschutz

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• ARIA-Rollen für verbesserte strukturelle Navigation
• Navigation über vor-/zurück-Elemente ohne Inhaltsverzeichnis
• Seitennummerierung folgt dem gedruckten Werk
• Mathematische Inhalte in MathML für assistive Technologien
• Kurze Alternativtexte für nicht-textuelle Inhalte vorhanden
• Text und Medien in logischer Lesereihenfolge angeordnet
• Navigierbarer Index mit direktem Zugriff auf Indexbegriffe
• Navigierbares Inhaltsverzeichnis für direkten Zugriff auf Text und Medien

Autor

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.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 473
• Erscheinungstermin: 7. Dezember 2023
• Englisch
• ISBN-13: 9781003803676
• Artikelnr.: 69232006