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ISBN : B00A27DJCM
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Format: PDF
Download file now Guide to Scientific Computing in C++ Free Download from mediafire, rapishare, and mirror link This easy-to-read textbook/reference presents an essential guide to object-oriented C++ programming for scientific computing. With a practical focus on learning by example, the theory is supported by numerous exercises. Features: provides a specific focus on the application of C++ to scientific computing, including parallel computing using MPI; stresses the importance of a clear programming style to minimize the introduction of errors into code; presents a practical introduction to procedural programming in C++, covering variables, flow of control, input and output, pointers, functions, and reference variables; exhibits the efficacy of classes, highlighting the main features of object-orientation; examines more advanced C++ features, such as templates and exceptions; supplies useful tips and examples throughout the text, together with chapter-ending exercises, and code available to download from Springer.Direct download links available for Guide to Scientific Computing in C++ Free Download
- File Size: 5407 KB
- Print Length: 266 pages
- Publisher: Springer; 2012 edition (February 15, 2012)
- Sold by: Amazon Digital Services, Inc.
- Language: English
- ASIN: B00A27DJCM
- Text-to-Speech: Enabled
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- Lending: Not Enabled
- Amazon Best Sellers Rank: #404,161 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
Guide to Scientific Computing in C++ Free Download
This book constitutes an excellent choice for those wanting to learn the basics of C++ with a bias in scientific computing and numerics. There aren't many good choices out there and this book fulfils that particular objective. The author is concise and don't waste many pages with less than relevant information. It provides the reader with the core concepts and good application examples, in order to get you programming in no time. Key concepts like STL containers, function and operator overloading, Classes, Polymorphism, Templated classes, Templates, Abstract class patterns are covered. Even a chapter on the use of MPI is provide to get you started on parallel programming and the development of parallelizable algorithms for more demanding computational applications. The exercises at the end of each chapter are adequate and give a perfect balance between degree of difficulty and explained material inside the chapter. Reading the book cover to cover is relatively easy and doesn't constitute a daunting task like so many in programming. A focus on linear algebra and numerics makes the task so much enjoyable.
In brief, this book constitutes a great starting point for any Scientist or Engineer wanting to become proficient in C++ and solve efficiently problems in the scientific computing field.
By Dr. Cristiano Simoes Abreu
This is a gem. It is more on the introductory side, but if that is what you are looking for then look no further.
By Jordan Dodson