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Introduction to Methods of Approximation in Physics and Astronomy (Hardcover, 1st ed. 2017)
Loot Price: R2,485
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Introduction to Methods of Approximation in Physics and Astronomy (Hardcover, 1st ed. 2017)
Series: Undergraduate Lecture Notes in Physics
Expected to ship within 12 - 17 working days
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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.
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