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orthogonal transformation वाक्य

"orthogonal transformation" हिंदी मेंorthogonal transformation in a sentence
उदाहरण वाक्यमोबाइल
  • The converse is also true : orthogonal matrices imply orthogonal transformations.
  • In particular, orthogonal transformations map orthonormal bases to orthonormal bases.
  • The inverse of an orthogonal transformation is another orthogonal transformation.
  • The inverse of an orthogonal transformation is another orthogonal transformation.
  • These orthogonal transformations form a group under composition, the orthogonal group.
  • We say central fields are orthogonal transformations around 0.
  • From the previous table, orthogonal transformations of covectors and contravectors are identical.
  • :: That's only orthogonal transformations.
  • Hence a set of factors and factor loadings is unique only up to orthogonal transformation.
  • Converting a tensor's components from one such basis to another is through an orthogonal transformation.
  • Eutactic stars are useful largely because of their relationship with the geometry of polytopes and groups of orthogonal transformations.
  • This moves as much of the variance as possible ( using an orthogonal transformation ) into the first few dimensions.
  • In 1972, she defended her doctoral thesis, " The Use of Orthogonal Transformations in Solving Problems of Algebra ."
  • The subgroup of Lie transformations preserving the point cycles is essentially the subgroup of orthogonal transformations which preserve the chosen timelike direction.
  • PCA has the distinction of being the optimal orthogonal transformation for keeping the subspace that has largest " variance " ( as defined above ).
  • In finite-dimensional spaces, the matrix representation ( with respect to an orthonormal basis ) of an orthogonal transformation is an orthogonal matrix.
  • :A star is eutactic if it is transformed to itself by some irreducible group of orthogonal transformations that acts transitively on pairs of opposite vectors.
  • Since the lengths of vectors and the angles between them are defined through the inner product, orthogonal transformations preserve lengths of vectors and angles between them.
  • This procedure has some similarities to the procedure for working with homogeneous coordinates in projective geometry and in this case allows the modeling of Euclidean transformations as orthogonal transformations.
  • However, linear algebra includes orthogonal transformations between spaces which may be neither finite-dimensional nor of the same dimension, and these have no orthogonal matrix equivalent.
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