We will outline the history of the numerical approach and trace back the origins of the use of computers to carry out simulations in mathematics and physics. We will then present the techniques used, by taking as example the finite-difference method to solve PDEs and discuss the nature and impact of numerical errors. Finally, we will argue that numerical simulation pertains more to experiment than to theory
Abstract: Several experiments have been developed and implemented in an undergraduate course in Nume...
A chronicled approach to the notion of computer simulations shows that there are two predominant int...
This book will interest researchers, scientists, engineers and graduate students in many disciplines...
This book will interest researchers, scientists, engineers and graduate students in many disciplines...
This book will interest researchers, scientists, engineers and graduate students in many disciplines...
Numerical Analysis is an elementary introduction to numerical analysis, its applications, limitation...
Numerical Simulation - from Theory to Industry is the edited book containing 25 chapters and divided...
This paper analyzes three popular methods of developing simulation models based on experimental data...
Are computer simulations experiments? Are they at least epistemically on par with them? These questi...
Many advanced undergraduates find it difficult to connect abstract mathematical formalisms with the ...
There are problems in physics (percolation theory, cellular automata, fractals, kinetic growth model...
In this short essay, we show how computer experiments, and especially visualization, allowed for the...
Numerical Methods provides a clear and concise exploration of standard numerical analysis topics, as...
Computational science is one of the rapidly growing multidisciplinary fields. The high-performance c...
The study of the numerical error that can occur in solving systems is an important topic. In various...
Abstract: Several experiments have been developed and implemented in an undergraduate course in Nume...
A chronicled approach to the notion of computer simulations shows that there are two predominant int...
This book will interest researchers, scientists, engineers and graduate students in many disciplines...
This book will interest researchers, scientists, engineers and graduate students in many disciplines...
This book will interest researchers, scientists, engineers and graduate students in many disciplines...
Numerical Analysis is an elementary introduction to numerical analysis, its applications, limitation...
Numerical Simulation - from Theory to Industry is the edited book containing 25 chapters and divided...
This paper analyzes three popular methods of developing simulation models based on experimental data...
Are computer simulations experiments? Are they at least epistemically on par with them? These questi...
Many advanced undergraduates find it difficult to connect abstract mathematical formalisms with the ...
There are problems in physics (percolation theory, cellular automata, fractals, kinetic growth model...
In this short essay, we show how computer experiments, and especially visualization, allowed for the...
Numerical Methods provides a clear and concise exploration of standard numerical analysis topics, as...
Computational science is one of the rapidly growing multidisciplinary fields. The high-performance c...
The study of the numerical error that can occur in solving systems is an important topic. In various...
Abstract: Several experiments have been developed and implemented in an undergraduate course in Nume...
A chronicled approach to the notion of computer simulations shows that there are two predominant int...
This book will interest researchers, scientists, engineers and graduate students in many disciplines...