Introduction to Methods of Approximation in Physics and Astronomy [electronic resource] / by Maurice H. P. M. van Putten.

За: Інтелектуальна відповідальність: Вид матеріалу: Текст Серія: Undergraduate Lecture Notes in PhysicsПублікація: Singapore : Springer Singapore : Imprint: Springer, 2017Видання: 1st ed. 2017Опис: XIII, 345 p. 90 illus., 71 illus. in color. online resourceТип вмісту:
  • text
Тип засобу:
  • computer
Тип носія:
  • online resource
ISBN:
  • 9789811029325
Тематика(и): Додаткові фізичні формати: Printed edition:: Немає назви; Printed edition:: Немає назви; Printed edition:: Немає назвиДесяткова класифікація Дьюї:
  • 530.15 23
Класифікація Бібліотеки Конгресу:
  • QC5.53
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Вміст:
Preface -- Part I Preliminaries -- 1 Complex numbers -- 2 Complex function theory -- 3 Vectors and linear algebra -- 4 Linear partial differential equations -- Part II Methods of approximation -- 5 Projections and minimal distances -- 6 Spectral methods and signal analysis -- 7 Root finding -- 8 Finite differencing: differentiation and integration -- 9 Perturbation theory, scaling and turbulence -- Part III Selected topics -- 10 Thermodynamics of N-body systems -- 11 Accretion flows onto black holes -- 12 Rindler observers in astrophysics and cosmology -- A Some units and constant -- B Г(z) and Ϛ(z) functions.
У: Springer eBooksЗведення: 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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Preface -- Part I Preliminaries -- 1 Complex numbers -- 2 Complex function theory -- 3 Vectors and linear algebra -- 4 Linear partial differential equations -- Part II Methods of approximation -- 5 Projections and minimal distances -- 6 Spectral methods and signal analysis -- 7 Root finding -- 8 Finite differencing: differentiation and integration -- 9 Perturbation theory, scaling and turbulence -- Part III Selected topics -- 10 Thermodynamics of N-body systems -- 11 Accretion flows onto black holes -- 12 Rindler observers in astrophysics and cosmology -- A Some units and constant -- B Г(z) and Ϛ(z) functions.

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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