Tools for Scientific Computing
A. Latina (CERN, Switzerland)
TL;DR
This paper provides an overview of scientific computing tools, explaining their application fields, principles of number representation, and truncation errors, specifically targeting students in accelerator beam dynamics.
Contribution
It introduces a curated selection of scientific computing tools and explains fundamental numerical principles relevant to accelerator beam dynamics students.
Findings
Comprehensive overview of scientific computing tools
Explanation of number representation and truncation errors
Guidance for students in accelerator beam dynamics
Abstract
A large multitude of scientific computing tools is available today. This article gives an overview of available tools and explains the main application fields. In addition basic principles of number representations in computing and the resulting truncation errors are treated. The selection of tools is for those students, who work in the field of accelerator beam dynamics.
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Taxonomy
TopicsComputational Physics and Python Applications · Particle accelerators and beam dynamics · Particle Accelerators and Free-Electron Lasers