Introduction to Numerical Programming (Series in Computational Physics)
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Introduction to Numerical Programming (Series in Computational Physics)
Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ utilizes the author’s many years of practical research and teaching experience to offer a systematic approach to relevant programming concepts.
Introduction to Numerical Programming (Series in Computational Physics)
Nº de artículo: 26945763

Introduction to Numerical Programming (Series in Computational Physics)

Nº de artículo: 26945763

ARS 416571

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Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ utilizes the author’s many years of practical research and teaching experience to offer a systematic approach to relevant programming concepts.
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What Stands Out

Comprehensive Resource
This book offers an extensive introduction to numerical programming tailored for computational physics, making it ideal for students and professionals seeking to enhance their numerical analysis skills.
Practical Applications
Focuses on practical programming applications in physics, addressing common computational problems and providing real-world examples to develop problem-solving skills in numerical methods.
User-Friendly Format
Structured to facilitate both self-study and classroom use, the book features clear explanations, exercises, and code examples, enhancing the learning experience for readers at all levels.

Detalles de producto

Explore the practical guide to Numerical Programming using Python and CC. Suitable for Scientists and Engineers. Discover the best prices at Ubuy Argentina.
  • Introduction to Numerical Programming: A Practical Guide for Scientists and Engineers
  • Makes numerical programming more accessible to a wider audience
  • Utilizes the author's research and teaching experience
  • Emphasizes methods used in physics and engineering
  • Develops theoretical knowledge, analysis skills, and code design know-how
  • Covers a wide range of topics including algorithms, function evaluation, and differential equations
Publisher Routledge
Publication date September 1, 2014
Edition 1st
Language English
Print length 674 pages
ISBN-10 9781466569676
ISBN-13 978-1466569676
Item Weight 3 pounds (1.36 kg)
Dimensions 7 x 1.52 x 10 inches (17.8 x 3.9 x 25.4 cm)
Part of series Series in Computational Physics

Who Should Buy?

Suitable For
  • Physics Students

    Ideal for undergraduate physics students seeking to understand computational methods used in physical systems modeling.

  • Aspiring Programmers

    Suitable for new programmers who wish to learn numerical methods applicable in scientific computing.

  • Researchers

    Beneficial for researchers in computational physics looking to enhance their numerical programming skills for simulations.

Not Suitable For
  • Complete Beginners

    Not ideal for absolute beginners with no programming or basic mathematical knowledge of numerical methods.

DESCRIPCIÓN DEL PRODUCTO

Introduction to Numerical Programming (Series in Computational Physics)

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Preguntas y respuestas de los clientes

  • Pregunta: Who is this book for?

    Respuesta: This book is for anyone interested in using numerical programming to solve science and engineering problems. It appeals to advanced undergraduate and graduate students in natural sciences and engineering, as well as researchers involved in scientific computing, and engineers carrying out applicative calculations.
  • Pregunta: What are the topics covered in the book?

    Respuesta: The book covers topics such as function evaluation, regression, integration of one- and multi-dimensional functions by classical and Gaussian quadratures, Monte Carlo integration techniques, and discretization methods for ordinary and partial differential equations.
  • Pregunta: Does the book contain code examples?

    Respuesta: Yes, the book contains real code, examples, and problem sets to assist in hands-on learning.

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Haz tu pedido ahora y recíbelo por ahí Jueves, Octubre 15

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características y beneficios

  • Offers guidance to anyone interested in using numerical programming to solve science and engineering problems
  • Emphasizes methods generally used in physics and engineering
  • Encourages algorithmic thinking, which is essential to numerical analysis
  • Contains real code, examples, and problem sets to assist in hands-on learning
  • Introduces platform-independent numerical programming using Python and C/C++
  • Appeals to advanced undergraduate and graduate students in natural sciences and engineering

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