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Basic Linear Algebra Subprograms and Dot product

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

Difference between Basic Linear Algebra Subprograms and Dot product

Basic Linear Algebra Subprograms vs. Dot product

Basic Linear Algebra Subprograms (BLAS) is a specification that prescribes a set of low-level routines for performing common linear algebra operations such as vector addition, scalar multiplication, dot products, linear combinations, and matrix multiplication. In mathematics, the dot product or scalar productThe term scalar product is often also used more generally to mean a symmetric bilinear form, for example for a pseudo-Euclidean space.

Similarities between Basic Linear Algebra Subprograms and Dot product

Basic Linear Algebra Subprograms and Dot product have 6 things in common (in Unionpedia): Basic Linear Algebra Subprograms, Matrix multiplication, Scalar (mathematics), Scalar multiplication, Transpose, Vector space.

Basic Linear Algebra Subprograms

Basic Linear Algebra Subprograms (BLAS) is a specification that prescribes a set of low-level routines for performing common linear algebra operations such as vector addition, scalar multiplication, dot products, linear combinations, and matrix multiplication.

Basic Linear Algebra Subprograms and Basic Linear Algebra Subprograms · Basic Linear Algebra Subprograms and Dot product · See more »

Matrix multiplication

In mathematics, matrix multiplication or matrix product is a binary operation that produces a matrix from two matrices with entries in a field, or, more generally, in a ring or even a semiring.

Basic Linear Algebra Subprograms and Matrix multiplication · Dot product and Matrix multiplication · See more »

Scalar (mathematics)

A scalar is an element of a field which is used to define a vector space.

Basic Linear Algebra Subprograms and Scalar (mathematics) · Dot product and Scalar (mathematics) · See more »

Scalar multiplication

In mathematics, scalar multiplication is one of the basic operations defining a vector space in linear algebra (or more generally, a module in abstract algebra).

Basic Linear Algebra Subprograms and Scalar multiplication · Dot product and Scalar multiplication · See more »

Transpose

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).

Basic Linear Algebra Subprograms and Transpose · Dot product and Transpose · See more »

Vector space

A vector space (also called a linear space) is a collection of objects called vectors, which may be added together and multiplied ("scaled") by numbers, called scalars.

Basic Linear Algebra Subprograms and Vector space · Dot product and Vector space · See more »

The list above answers the following questions

Basic Linear Algebra Subprograms and Dot product Comparison

Basic Linear Algebra Subprograms has 106 relations, while Dot product has 89. As they have in common 6, the Jaccard index is 3.08% = 6 / (106 + 89).

References

This article shows the relationship between Basic Linear Algebra Subprograms and Dot product. To access each article from which the information was extracted, please visit:

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