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Which data structures are used in scientific analysis ?

 
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Which data structures are used in scientific analysis ?
 
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Matrices, lists, vectors and tensors data structures are used in scientific analysis.
 
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Bhagvan Kommadi wrote:Matrices, lists, vectors and tensors data structures are used in scientific analysis.



Note the common thread here. All of these are ultimately arrays - a vector (list) is a 1-dimensional array. A matrix is an array of 2 or more dimensions. A tensor is a matrix of formulas that can be used to create an equation. And, just to complete the roster, there's also the scalar, which is a 0-dimensional (single-element) array.

This is why the Fortran programming language, which was explicitly designed for scientific computing, never bothered to implement data structures the way that its business-oriented sibling COBOL did. Even decades later, Fortran was still lacking data structures despite long years of use in super-computers doing weather and climate predictions, nuclear physics, and other heavy-computation tasks.

Data structures are useful for ordered organization of heterogeneous data, but much of scientific computing deals with data that's all of the same type (homogeneous).
 
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