Orthogonal Polynomials of Several Variables

Nonfiction, Science & Nature, Mathematics, Mathematical Analysis, Calculus
Cover of the book Orthogonal Polynomials of Several Variables by Charles F. Dunkl, Yuan Xu, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Charles F. Dunkl, Yuan Xu ISBN: 9781316054802
Publisher: Cambridge University Press Publication: August 21, 2014
Imprint: Cambridge University Press Language: English
Author: Charles F. Dunkl, Yuan Xu
ISBN: 9781316054802
Publisher: Cambridge University Press
Publication: August 21, 2014
Imprint: Cambridge University Press
Language: English

Serving both as an introduction to the subject and as a reference, this book presents the theory in elegant form and with modern concepts and notation. It covers the general theory and emphasizes the classical types of orthogonal polynomials whose weight functions are supported on standard domains. The approach is a blend of classical analysis and symmetry group theoretic methods. Finite reflection groups are used to motivate and classify symmetries of weight functions and the associated polynomials. This revised edition has been updated throughout to reflect recent developments in the field. It contains 25% new material, including two brand new chapters on orthogonal polynomials in two variables, which will be especially useful for applications, and orthogonal polynomials on the unit sphere. The most modern and complete treatment of the subject available, it will be useful to a wide audience of mathematicians and applied scientists, including physicists, chemists and engineers.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Serving both as an introduction to the subject and as a reference, this book presents the theory in elegant form and with modern concepts and notation. It covers the general theory and emphasizes the classical types of orthogonal polynomials whose weight functions are supported on standard domains. The approach is a blend of classical analysis and symmetry group theoretic methods. Finite reflection groups are used to motivate and classify symmetries of weight functions and the associated polynomials. This revised edition has been updated throughout to reflect recent developments in the field. It contains 25% new material, including two brand new chapters on orthogonal polynomials in two variables, which will be especially useful for applications, and orthogonal polynomials on the unit sphere. The most modern and complete treatment of the subject available, it will be useful to a wide audience of mathematicians and applied scientists, including physicists, chemists and engineers.

More books from Cambridge University Press

Cover of the book South Africa, Greece, Rome by Charles F. Dunkl, Yuan Xu
Cover of the book The Origins of Organized Charity in Rabbinic Judaism by Charles F. Dunkl, Yuan Xu
Cover of the book Gravity and Strings by Charles F. Dunkl, Yuan Xu
Cover of the book Megaprojects and Risk by Charles F. Dunkl, Yuan Xu
Cover of the book Religious Refugees in the Early Modern World by Charles F. Dunkl, Yuan Xu
Cover of the book The Economics of Ottoman Justice by Charles F. Dunkl, Yuan Xu
Cover of the book Functional Remediation for Bipolar Disorder by Charles F. Dunkl, Yuan Xu
Cover of the book Humanomics by Charles F. Dunkl, Yuan Xu
Cover of the book Childhood, Education and the Stage in Early Modern England by Charles F. Dunkl, Yuan Xu
Cover of the book Advanced Concepts in Quantum Mechanics by Charles F. Dunkl, Yuan Xu
Cover of the book The Primacy of Politics by Charles F. Dunkl, Yuan Xu
Cover of the book The Return of the Public in Global Governance by Charles F. Dunkl, Yuan Xu
Cover of the book Filtering and System Identification by Charles F. Dunkl, Yuan Xu
Cover of the book The Dimensions of Consequentialism by Charles F. Dunkl, Yuan Xu
Cover of the book Armed Conflict and Displacement by Charles F. Dunkl, Yuan Xu
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy