Introduction to methods of approximation in physics and astronomy / Maurice H. P. M. van Putten.

Author
Van Putten, Maurice H. P. M. [Browse]
Format
Book
Language
English
Published/​Created
Singapore : Springer, 2017.
Description
xiii, 345 pages : illustrations (some color) ; 24 cm

Availability

Copies in the Library

Location Call Number Status Location Service Notes
Lewis Library - Stacks QC20 .V25 2017 Browse related items Request

    Details

    Subject(s)
    Series
    Summary note
    This textbook provides students with a solid introduction to the techniques of approximation commonly used in data analysis across physics and astronomy. The choice of methods included is based on their usefulness and educational value, their applicability to a broad range of problems and their utility in highlighting key mathematical concepts. Modern astronomy reveals an evolving universe rife with transient sources, mostly discovered - few predicted - in multi-wavelength observations. Our window of observations now includes electromagnetic radiation, gravitational waves and neutrinos. For the practicing astronomer, these are highly interdisciplinary developments that pose a novel challenge to be well-versed in astroparticle physics and data-analysis. The book is organized to be largely self-contained, starting from basic concepts and techniques in the formulation of problems and methods of approximation commonly used in computation and numerical analysis. This includes root finding, integration, signal detection algorithms involving the Fourier transform and examples of numerical integration of ordinary differential equations and some illustrative aspects of modern computational implementation. Some of the topics highlighted introduce the reader to selected problems with comments on numerical methods and implementation on modern platforms including CPU-GPU computing. Developed from lectures on mathematical physics in astronomy to advanced undergraduate and beginning graduate students, this book will be a valuable guide for students and a useful reference for practicing researchers. To aid understanding, exercises are included at the end of each chapter. Furthermore, some of the exercises are tailored to introduce modern symbolic computation.
    Bibliographic references
    Includes bibliographical references and index.
    Source of description
    Online resource; title from PDF title page (SpringerLink, viewed April 19, 2017).
    ISBN
    • 9811029318
    • 9789811029318
    LCCN
    2017932117
    OCLC
    959036223
    Statement on language in description
    Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage. Read more...
    Other views
    Staff view