Schörghofer N. Lessons in Scientific Computing: Numerical Mathematics, Computer Technology, and Scientific Discovery

Boca Raton: CRC Press, 2019. — 205 p.Analytical and Numerical Solutions
A Few Concepts from Numerical Analysis
Roundoff and Number Representation
Programming Languages and Tools
Sample Problems
Building Conclusions
Approximation Theory
Other Common Computational Methods
Performance Basics and Computer Architectures
High-Performance and Parallel Computing
The Operation Count
Numerical Linear Algebra
Random Numbers and Stochastic Methods
Algorithms, Data Structures, and Complexity
Data
Building Programs for Computation and Data Analysis
Crash Course on Partial Differential Equiations
Reformulated Problems