Elementary Numerical Mathematics for Programmers and Engineers
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Beschreibung
This book covers the basics of numerical methods. Avoiding the definition-theorem-proof style, it instead focuses on numerical examples and simple pseudo-codes.
The text begins with a chapter on floating point arithmetic before moving on to discuss norms, conditions numbers, solutions of systems of equations, the least squares problem, eigenvalue problems, interpolation, numerical integration, ordinary differential equations, optimization (including a detailed case study), and practical error estimations. Exercises (partly in MATLAB) are provided at the end of each chapter. Suitable for readers with minimal mathematical knowledge, the book not only offers an elementary introduction to numerical mathematics for programmers and engineers but also provides supporting material for students and teachers of mathematics.
This book covers the basics of numerical methods. Avoiding the definition-theorem-proof style, it instead focuses on numerical examples and simple pseudo-codes.
The text begins with a chapter on floating point arithmetic before moving on to discuss norms, conditions numbers, solutions of systems of equations, the least squares problem, eigenvalue problems, interpolation, numerical integration, ordinary differential equations, optimization (including a detailed case study), and practical error estimations. Exercises (partly in MATLAB) are provided at the end of each chapter. Suitable for readers with minimal mathematical knowledge, the book not only offers an elementary introduction to numerical mathematics for programmers and engineers but also provides supporting material for students and teachers of mathematics.
Covers the basics of numerical methods, while avoiding the definition-theorem-proof style Promotes reader comprehension by providing numerical examples and exercises in MATLAB Presents material about practical error estimation and optimization
Autor*in
Gisbert Stoyan
Themen in »Elementary Numerical Mathematics for Programmers and Engineers«
Gaussian Elimination Least Squares Eigenvalue Problems Interpolation Nonlinear Equations Numerical Integration Practical Error Estimation Optimization Ordinary Differential Equations