Kategoria BISAC: Mathematics >> Numerical Analysis

Dieses Lehrbuch vermittelt grundlegende Kenntnisse zu den wichtigsten Themen der numerischen Mathematik. Dazu gehören jeweils Algorithmen, Fehlerabschätzungen und Fragen der arithmetischen Komplexität. Zahlreiche kleine Anwendungsbeispiele, Abbildungen, Pseudo-Codes, numerische Illustrationen und einfache Rechenbeispiele unterstützen die Lektüre. Das Lehrbuch ist sowohl als Begleittext für einführende Vorlesungen über Numerik als auch im Selbststudium einsetzbar. Auf die Präsentation von Beweisen mathematischer Aussagen wird größtenteils verzichtet. 

In der  Springer...

A broad range of phenomena in science and technology can be described by non-linear partial differential equations characterized by systems of conservation laws with source terms. Well known examples are hyperbolic systems with source terms, kinetic equations, and convection-reaction-diffusion equations. This book collects research advances in numerical methods for hyperbolic balance laws and kinetic equations together with related modelling aspects. All the contributions are based on the talks of the speakers of the Young Researchers’ Conference “Numerical Aspects of Hyperbolic...

This book provides a mathematical and numerical analysis of many problems which lead to paradoxes in contemporary cosmology, in particular, the existence of dark matter and dark energy. It is shown that these hypothetical quantities arise from excessive extrapolations of simple mathematical models to the whole physical universe. Written in a completely different style to most books on General Relativity and cosmology, the important results take the form of mathematical theorems with precise assumptions and statements. All theorems are followed by a corresponding proof, or an exact...

This book constitutes the refereed proceedings of the 17th International Conference on Learning and Intelligent Optimization, LION-17, held in Nice, France, during June 4–8, 2023.

The 40 full papers presented have been carefully reviewed and selected from 83 submissions. They focus on all aspects of unleashing the potential of integrating machine learning and optimization approaches, including automatic heuristic selection, intelligent restart strategies, predict-then-optimize, Bayesian optimization, and learning to optimize.

This book provides fifteen computational projects aimed at numerically solving problems from a broad range of applications including Fluid Mechanics, Chemistry, Elasticity, Thermal Science, Computer Aided Design, Signal and Image Processing. For each project the reader is guided through the typical steps of scientific computing from physical and mathematical description of the problem to numerical formulation and programming and finally to critical discussion of numerical results. Considerable emphasis is placed on practical issues of computational methods. The last section of each project...