MATLAB and Transpose

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between MATLAB and Transpose

MATLAB vs. Transpose

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and proprietary programming language developed by MathWorks. In linear algebra, the transpose of a matrix is an operator which flips a matrix over its diagonal, that is it switches the row and column indices of the matrix by producing another matrix denoted as AT (also written A′, Atr, tA or At).

Similarities between MATLAB and Transpose

MATLAB and Transpose have 4 things in common (in Unionpedia): Computer science, Conjugate transpose, Linear algebra, Matrix (mathematics).

Computer science

Computer science deals with the theoretical foundations of information and computation, together with practical techniques for the implementation and application of these foundations.

Computer science and MATLAB · Computer science and Transpose · See more »

Conjugate transpose

In mathematics, the conjugate transpose or Hermitian transpose of an m-by-n matrix A with complex entries is the n-by-m matrix A∗ obtained from A by taking the transpose and then taking the complex conjugate of each entry.

Conjugate transpose and MATLAB · Conjugate transpose and Transpose · See more »

Linear algebra

Linear algebra is the branch of mathematics concerning linear equations such as linear functions such as and their representations through matrices and vector spaces.

Linear algebra and MATLAB · Linear algebra and Transpose · See more »

Matrix (mathematics)

In mathematics, a matrix (plural: matrices) is a rectangular array of numbers, symbols, or expressions, arranged in rows and columns.

MATLAB and Matrix (mathematics) · Matrix (mathematics) and Transpose · See more »

The list above answers the following questions

What MATLAB and Transpose have in common
What are the similarities between MATLAB and Transpose

MATLAB and Transpose Comparison

MATLAB has 134 relations, while Transpose has 50. As they have in common 4, the Jaccard index is 2.17% = 4 / (134 + 50).

References

This article shows the relationship between MATLAB and Transpose. To access each article from which the information was extracted, please visit:

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