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  • package root
    Definition Classes
    root
  • package breeze
    Definition Classes
    root
  • package linalg

    This package contains everything relating to Vectors, Matrices, Tensors, etc.

    This package contains everything relating to Vectors, Matrices, Tensors, etc.

    If you're doing basic work, you probably want breeze.linalg.DenseVector and breeze.linalg.DenseMatrix, which support most operations. We also have breeze.linalg.SparseVectors and (basic!) support for a sparse matrix (breeze.linalg.CSCMatrix).

    This package object contains Matlab-esque functions for interacting with tensors and matrices.

    Definition Classes
    breeze
  • object LU extends UFunc

    Computes the LU factorization of the given real M-by-N matrix X such that X = P * L * U where P is a permutation matrix (row exchanges).

    Computes the LU factorization of the given real M-by-N matrix X such that X = P * L * U where P is a permutation matrix (row exchanges).

    Definition Classes
    linalg
  • object primitive extends UFunc

    Returns the raw lapack result, which is more memory efficient, but harder to work with.

    Returns the raw lapack result, which is more memory efficient, but harder to work with.

    Upon completion, a tuple consisting of a matrix A and an integer array P.

    The upper triangular portion of A resembles U whereas the lower triangular portion of A resembles L up to but not including the diagonal elements of L which are all equal to 1.

    For 0 <= i < M, each element P(i) denotes whether row i of the matrix X was exchanged with row P(i) - 1 during computation (the offset is caused by the internal call to LAPACK).

    Definition Classes
    LU
  • LU_DM_Impl_Double
  • LU_DM_Impl_Float
o

breeze.linalg.LU.primitive

LU_DM_Impl_Double

implicit object LU_DM_Impl_Double extends Impl[DenseMatrix[Double], (DenseMatrix[Double], Array[Int])]

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  4. def apply(X: DenseMatrix[Double]): (DenseMatrix[Double], Array[Int])
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Inherited from UImpl[primitive.this.type, DenseMatrix[Double], (DenseMatrix[Double], Array[Int])]

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