Comprehensive coverage of error estimation and control techniques for numerical simulations enhances understanding of simulation reliability
Discussion of error sources such as model errors, discretization, and rounding errors provides a holistic view of simulation challenges
Adaptivity for continuous models enables more accurate and efficient numerical solutions
Application of condition numbers and interval arithmetic supports rigorous error analysis
Suitable for both experts and non-experts, making it accessible to a broad audience
Summarized by Shop
Nato Science Series C: Error Control and Adaptivity in Scientific Computing Haydar Bulgak | Christoph Zenger Mathematics / Numerical Analysis One of the main ways by which we can understand complex processes is to create computerised numerical simulation models of them. Modern simulation tools are not used only by experts, however, and rel