Chebyshev Polynomials
Chebyshev Polynomials
Chebyshev Polynomials

Chebyshev Polynomials

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UPC: 9780849303555
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Chebyshev Polynomials Crop Up In Virtually Every Area Of Numerical Analysis, And They Hold Particular Importance In Recent Advances In Subjects Such As Orthogonal Polynomials, Polynomial Approximation, Numerical Integration, And Spectral Methods. Yet No Book Dedicated To Chebyshev Polynomials Has Been Published Since 1990, And Even That Work Focused Primarily On The Theoretical Aspects. A Broad, Uptodate Treatment Is Long Overdue.Providing Highly Readable Exposition On The Subject'S State Of The Art, Chebyshev Polynomials Is Just Such A Treatment. It Includes Rigorous Yet Downtoearth Coverage Of The Theory Along With An Indepth Look At The Properties Of All Four Kinds Of Chebyshev Polynomialsproperties That Lead To A Range Of Results In Areas Such As Approximation, Series Expansions, Interpolation, Quadrature, And Integral Equations. Problems In Each Chapter, Ranging In Difficulty From Elementary To Quite Advanced, Reinforce The Concepts And Methods Presented.Far From Being An Esoteric Subject, Chebyshev Polynomials Lead One On A Journey Through All Areas Of Numerical Analysis. This Book Is The Ideal Vehicle With Which To Begin This Journey And One That Will Also Serve As A Standard Reference For Many Years To Come.

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  • Q: What is the page count of 'Chebyshev Polynomials'? A: The book contains three hundred sixty pages. This extensive coverage provides a thorough examination of Chebyshev polynomials.
  • Q: What are the dimensions of this book? A: The book measures six point thirty-eight inches in length, zero point ninety-eight inches in width, and nine point seventy-two inches in height. These dimensions make it a manageable size for reading and reference.
  • Q: What type of binding does 'Chebyshev Polynomials' have? A: This book is bound in hardcover. Hardcover binding ensures durability and longevity, making it suitable for frequent use.
  • Q: Who is the author of 'Chebyshev Polynomials'? A: The author is David C. Handscomb. His expertise lends credibility and depth to the subject matter.
  • Q: What category does this book fall under? A: This book is categorized under Computer Science. It explores advanced topics relevant to numerical analysis.
  • Q: How do I approach reading 'Chebyshev Polynomials'? A: You can read this book progressively by starting with the foundational concepts. Each chapter includes problems that reinforce understanding, suitable for various skill levels.
  • Q: Is this book suitable for beginners in numerical analysis? A: Yes, it is suitable for beginners. The book contains problems ranging from elementary to advanced, making it accessible to a wide audience.
  • Q: Can I use this book for reference in advanced studies? A: Yes, 'Chebyshev Polynomials' serves as a standard reference. Its comprehensive treatment of the subject makes it valuable for both students and professionals.
  • Q: How can I effectively use the exercises in the book? A: To effectively use the exercises, attempt them after reading each chapter. They are designed to reinforce the concepts and methods presented.
  • Q: What should I do to keep 'Chebyshev Polynomials' in good condition? A: To maintain the book, store it in a dry place and avoid exposure to direct sunlight. Handle it with care to preserve the binding and pages.
  • Q: Are there any specific care instructions for hardcover books? A: Yes, keep hardcover books upright when stored and avoid bending the spine. This helps prevent damage and ensures longevity.
  • Q: What if my copy of the book arrives damaged? A: If your copy arrives damaged, contact the seller for a return or exchange. Most sellers have policies in place to address such issues.
  • Q: Is there a warranty for 'Chebyshev Polynomials'? A: Typically, books do not come with a warranty. However, check with the seller regarding their return policy.
  • Q: Can this book help me with numerical integration? A: Yes, it covers topics related to numerical integration. The properties of Chebyshev polynomials are particularly useful in this area.
  • Q: How does this book compare to other texts on numerical analysis? A: This book provides a focused treatment of Chebyshev polynomials, unlike many texts that cover broader topics. It offers detailed insights into specific applications.
  • Q: Is there a lot of mathematical theory in this book? A: Yes, the book includes rigorous theoretical coverage. However, it balances theory with practical applications to make it accessible.

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