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Practical Numerical Methods with C# (Second Edition): Numerical Programming and Math Functions for Real-World .NET Applications with C# (C# Math
MAD 739
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- The second edition of this book builds all teh code example within a single project by incorporating new advancements in C# .NET technology and open-source math libraries. It also uses C# Interactive Window to test numerical computations without compiling or running the complete project code. The second edition includes three new chapters, including Plotting, Fourier Analysis and Math Expression Parser. As in the first edition, this book presents an in-depth exposition of the various numerical methods used in real-world scientific and engineering computations. It emphasizes the practical aspects of C# numerical methods and mathematical functions programming, and discusses various techniques in details to enable you to implement these numerical methods in your .NET application. Ideal for scientists, engineers, and students who would like to become more adept at numerical methods, teh second edition of this book covers the following content: - Overview of C# programming. - The mathematical background and fundamentals of numerical methods. - plotting the computation results using a 3D chart control. - Math libraries for complex numbers and functions, real and complex vector and matrix operations, and special functions. - Numerical methods for generating random numbers and random distribution functions. - Various numerical methods for solving linear and nonlinear equations. - Numerical differentiation and integration. - Interpolations and curve fitting. - Optimization of single-variable and multi-variable functions with a variety of techniques, including advanced simulated annealing and evolutionary algorithms. - Numerical techniques for solving ordinary differential equations. - Numerical methods for solving boundary value problems. - Eigenvalue problems. - Fourier analysis. - mathematical expression parser and evaluator.In addition, this book provides testing examples for every math function and numerical method to show you how to use these functions and methods in your own .NET applications in a manageable and step-by-step fashion. Please visit the author's website for more information about this book at https://drxudotnet.com and https://gincker.com.
| Publisher | Independently published |
| Publication date | October 1, 2019 |
| Language | English |
| Print length | 470 pages |
| ISBN-10 | 1695895576 |
| ISBN-13 | 978-1695895577 |
| Item Weight | 1.96 pounds (890 grams) |
| Dimensions | 7.5 x 1.06 x 9.25 inches (19.1 x 2.7 x 23.5 cm) |
Who Should Buy?
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C# Developers
Ideal for developers seeking practical tools for implementing numerical methods in real-world C# applications.
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Students in STEM
Useful for students learning numerical methods, providing practical examples and programming applications within .NET framework.
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Data Analysts
Beneficial for analysts who need to perform numerical computations efficiently using C# in data analysis tasks.
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Absolute Beginners
Not suitable for those unfamiliar with programming or C#, as it requires foundational knowledge to grasp concepts.
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.NET Editorial Review
Practical Numerical Methods with C# (Second Edition): Numerical Programming and Math Functions for Real-World .NET Applications with C# is a comprehensive resource ideal for developers looking to enhance their numerical programming skills. This 470-page book, published independently, covers a wide range of topics to facilitate understanding of complex mathematical functions in C#. It is designed to be accessible, showcasing practical applications geared toward real-world .NET scenarios. With its detailed explanations and structured approach, readers can expect to find valuable insights that cater to both novice and experienced programmers, making learning C# mathematical applications an engaging experience.
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Pros
- Comprehensive coverage of numerical programming techniques
- Detailed explanations for better understanding
- Designed for real-world .NET applications
- Accessible for both novice and experienced programmers
- Independently published for unique insights
Cons
- Some readers may prefer more visual aids for concepts
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