R users can often solve optimization tasks easily using the tools in the optim function in the stats package provided by default on R installations. However, there are many other optimization and nonlinear modelling tools in R or in easily installed add-on packages. These present users with a bewild
Earth System Modelling - Volume 2: Algorithms, Code Infrastructure and Optimisation
β Scribed by Luca Bonaventura, RenΓ© Redler, Reinhard Budich (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2012
- Tongue
- English
- Leaves
- 101
- Series
- SpringerBriefs in Earth System Sciences 1
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Collected articles in this series are dedicated to the development and use of software for earth system modelling and aims at bridging the gap between IT solutions and climate science. The particular topic covered in this volume addresses the historical development, state of the art and future perspectives of the mathematical techniques employed for numerical approximation of the equations describing atmospheric and oceanic motion. Furthermore, it describes the main computer science and software engineering strategies employed to turn these mathematical methods into effective tools for understanding earth's climate and forecasting its evolution. These methods and the resulting computer algorithms lie at the core of earth system models and are essential for their effectiveness and predictive skill.
β¦ Table of Contents
Front Matter....Pages i-xi
Overview....Pages 1-2
Numerical Algorithms for ESM: State of the Art....Pages 3-17
Numerical Algorithms for ESM: Future Perspectives for Atmospheric Modelling....Pages 19-24
Numerical Algorithms for ESM: Future Perspectives for Ocean Modelling....Pages 25-34
Efficiency for Adaptive Triangular Meshes: Key Issues of Future Approaches....Pages 35-49
Code Design and Quality Control....Pages 51-65
Code Optimisation....Pages 67-76
Code Parallelisation On Massively Parallel Machines....Pages 77-88
Future Perspectives....Pages 89-91
Back Matter....Pages 93-96
β¦ Subjects
Earth Sciences, general; Simulation and Modeling; Computational Mathematics and Numerical Analysis
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