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Numéro d'article:
26945763
Introduction to Numerical Programming (Series in Computational Physics)
Numéro d'article:
26945763
CAD 275
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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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Ce qui se démarque
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.
Détails du produit
- 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 |
À qui est-ce destiné ?
-
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.
-
Complete Beginners
Not ideal for absolute beginners with no programming or basic mathematical knowledge of numerical methods.
DESCRIPTION DU PRODUIT
Introduction to Numerical Programming (Series in Computational Physics)
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Product Buying Guide
Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ is designed to make numerical programming more accessible to a wider audience. The book offers a systematic approach to relevant programming concepts, emphasizing methods generally used in physics and engineering from elementary to complex algorithms. It encourages algorithmic thinking, fosters coding dexterity, and develops efficient programming skills. It is suitable for advanced undergraduate and graduate students, researchers involved in scientific computing, and engineers carrying out applicative calculations.
Product Specifications
- Introduction to Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ (Series in Computational Physics) 1st Edition
- Not mentioned
- 1st Edition
- English
- Not mentioned
- Not mentioned
- Not mentioned
- Not mentioned
Key Features
- Emphasizes practical, broad appeal, offering guidance to anyone interested in using numerical programming to solve science and engineering problems.
- Encourages algorithmic thinking, fostering algorithmic reasoning, coding dexterity, and a scientific programming style.
- Incorporates real code, examples, and problem sets for hands-on learning.
- Covers fundamental numerical methods, application numerical behavior, and graphical output, as well as platform-independent numerical programming using Python and C/C++.
Usage Scenarios
- Suitable for advanced undergraduate and graduate students in natural sciences and engineering.
- Useful for researchers involved in scientific computing.
- Beneficial for engineers carrying out applicative calculations.
Usage Scenarios
Competitor products in the field of numerical programming include 'Numerical Methods for Engineers' and 'Scientific Computing: An Introductory Survey.'
Some User Review
- The book is an excellent guide for beginners and intermediate learners in numerical programming. The real code examples and problem sets really help in understanding the concepts effectively.
- I found the emphasis on algorithmic thinking and practical application very beneficial. It's a valuable resource for anyone looking to apply numerical programming to science and engineering problems.
Competitors
- The price range for this book falls within the average range for similar books in the field of numerical programming, offering good value for the comprehensive coverage it provides.
Buying Considerations
- It is important to consider the user's level of proficiency in numerical programming, as this book is most beneficial for intermediate learners and above.
- Potential buyers should consider the specific science or engineering problems they aim to solve using numerical programming, as the book focuses on these application areas.
Conclusion
Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ stands out as a comprehensive and user-friendly resource for anyone interested in applying numerical programming to solve science and engineering problems. With its emphasis on practical application, algorithmic thinking, and real code examples, it provides great value for advanced students, researchers, and engineers in the field.
Voir moinsNumerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ is designed to make numerical programming more accessible to a wider audience. The book offers a systematic approach to relevant programming concepts, emphasizing methods generally used in physics and engineering from elementary to complex algorithms. It encourages algorithmic thinking, fosters coding dexterity, and develops efficient programming skills. It is suitable for advanced undergraduate and graduate students, researchers involved in scientific computing, and engineers carrying out applicative calculations. Continue Reading
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Caractéristiques et avantages
- 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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