eBook: Topics in Quaternion Linear Algebra (DRM PDF)
 
電子書格式: DRM PDF
作者: Leiba Rodman 
系列: Princeton Series in Applied Mathematics
分類: Algebra ,
Calculus & mathematical analysis ,
Complex analysis, complex variables ,
Physics ,
Engineering: general ,
Computer science  
書城編號: 21014828

原價: HK$1040.00
現售: HK$988 節省: HK$52

購買後立即進貨, 約需 1-4 天

 
 
製造商: Princeton University Press
出版日期: 2014/08/24
頁數: 384
ISBN: 9781400852741
 
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商品簡介
Quaternions are a number system that has become increasingly useful for representing the rotations of objects in three-dimensional space and has important applications in theoretical and applied mathematics, physics, computer science, and engineering. This is the first book to provide a systematic, accessible, and self-contained exposition of quaternion linear algebra. It features previously unpublished research results with complete proofs and many open problems at various levels, as well as more than 200 exercises to facilitate use by students and instructors. Applications presented in the book include numerical ranges, invariant semidefinite subspaces, differential equations with symmetries, and matrix equations.Designed for researchers and students across a variety of disciplines, the book can be read by anyone with a background in linear algebra, rudimentary complex analysis, and some multivariable calculus. Instructors will find it useful as a complementary text for undergraduate linear algebra courses or as a basis for a graduate course in linear algebra. The open problems can serve as research projects for undergraduates, topics for graduate students, or problems to be tackled by professional research mathematicians. The book is also an invaluable reference tool for researchers in fields where techniques based on quaternion analysis are used.
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Leiba Rodman 作者作品表

eBook: Topics in Quaternion Linear Algebra (DRM PDF)

eBook: Topics in Quaternion Linear Algebra (DRM EPUB)

eBook: Abstract Band Method via Factorization, Positive and Band Extensions of Multivariable Almost Periodic Matrix Functions, and Spectral Estimation

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