Scientific computing is a collection of tools, techniques and theories required to develop and solve mathematical models in science and engineering on a computer. This timely book provides the various skills and techniques needed in scientific computing. The topics range in difficulty from elementary to advanced, and all the latest fields in scientific computing are covered such as matrices, numerical analysis, neural networks, genetic algorithms, etc. Presented in the format of problems and detailed solutions, important concepts and techniques are introduced and developed. Many problems include software simulations. Algorithms have detailed implementations in C++ or Java. This book will prove to be invaluable not only to students and research workers in the fields of scientific computing, but also to teachers of this subject who will find this text useful as a supplement. The topics discussed in this book are part of the e-learning and distance learning courses conducted by the International School of Scientific Computing, South Africa.
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3 of 4 people found the following review helpful:
4.0 out of 5 stars
has common numerical methods,
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This review is from: Problems & Solutions In Scientific Computing With C++ And Java Simulations (Hardcover)
The book is mostly a first course in numerical methods. Where the authors have provided code examples in C++ and Java. The methods in each topic would typically be found in several other numerical texts. On this basis, the main attraction of the book seems to be the example code.
Readers experienced in C++ or Java coding should be able to write code from scratch to implement methods.
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Inside This Book
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Key Phrases - Capitalized Phrases (CAPs):
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Monte Carlo, Little Endian, Big Endian, List List New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Monte Carlo, Little Endian, Big Endian, List List New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 27
books:
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- A Second Course in Computer Science with PASCAL by Daniel D. McCracken in Back Matter
- Numerical Solution of Partial Differential Equations: An Introduction by K. W. Morton in Back Matter
- Problem Solving (Teacher Timesavers) by Jill Bennett in Back Matter
- Discrete Mathematics by Wiley in Back Matter
- Computational Physics by J. M. Thijssen in Back Matter
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