Why are texts and equations communicated instead of algorithms in computational science?
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I often read some paper about some compuational method (mostly in physics) full of complicated equations and I have hard time to figure out, what is the actual procedure how they compute the things they want to compute. Then I find source code of that algorithm ( or at least an pseudo-code ) and everything is clear to me. Then I can easily undestand all the derivations and commonts in the rest of the paper. Unfortunatelly, it is not a common practicce to put source code or pseudocode into scienctific publications. :( I feel like it is just for historical reasons, that "code" is not taken so seriously in sciectific publications as equations (because it is just a few decades that computers and programming are common). But I think that the programming languge ( which are specially designed to be exact and expressive) are better way to communicate exact ideas (like computational methods and algorithms) than natural language (text) or equations.
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Answer:
In most cases computational science is built on the idea of making simulations. This involves quantification of physical parameters, constants, and variables. Mostly this is done through mathematical formulations of a problem. Any algorithms have been designed on ways of reproducing these formulations on the computer, but the formulation comes first. There have been efforts to develop some models based on purely computations structures, like cellular automataâbut even these are often linked to formulas.
George Hrabovsky at Quora Visit the source
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