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Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Functional analysis

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Lectures on Numerical Radius Inequalities (Hardcover, 1st ed. 2022) Loot Price: R4,241
Discovery Miles 42 410
Lectures on Numerical Radius Inequalities (Hardcover, 1st ed. 2022): Pintu Bhunia, Silvestru Sever Dragomir, Mohammad Sal...

Lectures on Numerical Radius Inequalities (Hardcover, 1st ed. 2022)

Pintu Bhunia, Silvestru Sever Dragomir, Mohammad Sal Moslehian, Kallol Paul

Series: Infosys Science Foundation Series in Mathematical Sciences

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Loot Price R4,241 Discovery Miles 42 410 | Repayment Terms: R397 pm x 12*

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This book is a self-contained advanced monograph on inequalities involving the numerical radius of bounded linear operators acting on complex Hilbert spaces. The study of numerical range and numerical radius has a long and distinguished history starting from the Rayleigh quotients used in the 19th century to nowadays applications in quantum information theory and quantum computing. This monograph is intended for use by both researchers and graduate students of mathematics, physics, and engineering who have a basic background in functional analysis and operator theory. The book provides several challenging problems and detailed arguments for the majority of the results. Each chapter ends with some notes about historical views or further extensions of the topics. It contains a bibliography of about 180 items, so it can be used as a reference book including many classical and modern numerical radius inequalities.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Infosys Science Foundation Series in Mathematical Sciences
Release date: November 2022
First published: 2022
Authors: Pintu Bhunia • Silvestru Sever Dragomir • Mohammad Sal Moslehian • Kallol Paul
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 209
Edition: 1st ed. 2022
ISBN-13: 978-3-03-113669-6
Categories: Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Functional analysis
LSN: 3-03-113669-1
Barcode: 9783031136696

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