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Essential Mathematics for Convex Optimization - Hardcover

K¿l¿nç-Karzan, Fatma; Nemirovski, Arkadi

 
9781009510523: Essential Mathematics for Convex Optimization

Inhaltsangabe

A textbook that introduces both convex analysis and modern topics in optimization in a mathematically rigorous yet accessible way.

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Über die Autorin bzw. den Autor

Fatma K¿l¿nç-Karzan is a Professor of Operations Research at Tepper School of Business, Carnegie Mellon University. She was awarded the 2015 INFORMS Optimization Society Prize for Young Researchers, the 2014 INFORMS JFIG Best Paper Award (with S. Y¿ld¿z), and an NSF CAREER Award in 2015. Her research focuses on foundational theory and algorithms for convex optimization and structured nonconvex optimization and their applications in optimization under uncertainty, machine learning, and business analytics. She has been an elected member on the councils of the Mathematical Optimization Society and INFORMS Computing Society, and has served on the editorial boards of MOS-SIAM Book Series on Optimization, MathProgA, MathOR, OPRE, SIAM J Opt, IJOC, and OMS.

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