Lessons in scientific computing : numerical mathematics, computer technology, and scientific discovery /
"This new book is a modernized, exceptionally broad and intentionally compact introduction to scientific computing. It takes a broad and interdisciplinary approach; numerical methods, computer technology and their interconnections are treated with the goal of facilitating scientific research. E...
| 第一著者: | |
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| フォーマット: | 図書 |
| 言語: | English |
| 出版事項: |
Boca Raton, FL :
CRC Press, Taylor & Francis Group,
2019
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| 主題: | |
| Classic Catalogue: | View this record in Classic Catalogue |
目次:
- Analytical & numerical solutions
- A few concepts from numerical analysis
- Roundoff & number representation
- Programming languages & tools
- Sample problems; building conclusions
- Approximation theory
- Other common computational methods
- Performance basics & computer architectures
- High-performance & parallel computing
- The operation count; numerical linear algebra
- Random numbers & stochastic methods
- Algorithms, data structures, and complexity
- Data
- Building programs for computation and data analysis
- A crash course on partial differential equations
- Reformulated problems.