vector decomposition Sentence Examples

  1. Vector decomposition allows for efficient representation and manipulation of multidimensional data.
  2. The singular value decomposition (SVD) is a technique for performing vector decomposition.
  3. Vector decomposition can be used to reduce dimensionality and identify patterns in data.
  4. Principal component analysis (PCA) is a type of vector decomposition that finds the directions of maximum variance in a dataset.
  5. Sparse vector decomposition is a technique used to represent sparse data in a compact and efficient manner.
  6. Orthogonal vector decomposition guarantees that the decomposed vectors are mutually perpendicular.
  7. Vector decomposition is used in computer graphics to manipulate and transform objects in 3D space.
  8. The tensor decomposition technique can be used to decompose higher-order tensors into a sum of simpler tensors.
  9. Vector space decomposition is a method for representing a vector space as a direct sum of subspaces.
  10. The choice of decomposition method depends on the specific application and the properties of the data being analyzed.

vector decomposition Meaning

Wordnet

vector decomposition (n)

the analysis of a vector field

Synonyms & Antonyms of vector decomposition

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FAQs About the word vector decomposition

the analysis of a vector field

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Vector decomposition allows for efficient representation and manipulation of multidimensional data.

The singular value decomposition (SVD) is a technique for performing vector decomposition.

Vector decomposition can be used to reduce dimensionality and identify patterns in data.

Principal component analysis (PCA) is a type of vector decomposition that finds the directions of maximum variance in a dataset.