Similarities between Computational electromagnetics and Computational science
Computational electromagnetics and Computational science have 6 things in common (in Unionpedia): Finite difference, Finite element method, Integral, Parallel computing, Space mapping, Theory.
Finite difference
A finite difference is a mathematical expression of the form.
Computational electromagnetics and Finite difference · Computational science and Finite difference ·
Finite element method
The finite element method (FEM), is a numerical method for solving problems of engineering and mathematical physics.
Computational electromagnetics and Finite element method · Computational science and Finite element method ·
Integral
In mathematics, an integral assigns numbers to functions in a way that can describe displacement, area, volume, and other concepts that arise by combining infinitesimal data.
Computational electromagnetics and Integral · Computational science and Integral ·
Parallel computing
Parallel computing is a type of computation in which many calculations or the execution of processes are carried out concurrently.
Computational electromagnetics and Parallel computing · Computational science and Parallel computing ·
Space mapping
The space mapping methodology for modeling and design optimization of engineering systems was first discovered by John Bandler in 1993.
Computational electromagnetics and Space mapping · Computational science and Space mapping ·
Theory
A theory is a contemplative and rational type of abstract or generalizing thinking, or the results of such thinking.
Computational electromagnetics and Theory · Computational science and Theory ·
The list above answers the following questions
- What Computational electromagnetics and Computational science have in common
- What are the similarities between Computational electromagnetics and Computational science
Computational electromagnetics and Computational science Comparison
Computational electromagnetics has 126 relations, while Computational science has 156. As they have in common 6, the Jaccard index is 2.13% = 6 / (126 + 156).
References
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