Class MatrixVectorMult_FSCC

java.lang.Object
org.ejml.sparse.csc.mult.MatrixVectorMult_FSCC

@Generated("org.ejml.sparse.csc.mult.MatrixVectorMult_DSCC") public class MatrixVectorMult_FSCC extends Object
  • Constructor Details

    • MatrixVectorMult_FSCC

      public MatrixVectorMult_FSCC()
  • Method Details

    • mult

      public static void mult(FMatrixSparseCSC A, float[] b, int offsetB, float[] c, int offsetC)
      c = A*b
      Parameters:
      A - (Input) Matrix
      b - (Input) vector
      offsetB - (Input) first index in vector b
      c - (Output) vector
      offsetC - (Output) first index in vector c
    • multAdd

      public static void multAdd(FMatrixSparseCSC A, float[] b, int offsetB, float[] c, int offsetC)
      c = c + A*b
      Parameters:
      A - (Input) Matrix
      b - (Input) vector
      offsetB - (Input) first index in vector b
      c - (Output) vector
      offsetC - (Output) first index in vector c
    • mult

      public static void mult(float[] a, int offsetA, FMatrixSparseCSC B, float[] c, int offsetC)
      c = aT*B
      Parameters:
      a - (Input) vector
      offsetA - Input) first index in vector a
      B - (Input) Matrix
      c - (Output) vector
      offsetC - (Output) first index in vector c
    • innerProduct

      public static float innerProduct(float[] a, int offsetA, FMatrixSparseCSC B, float[] c, int offsetC)
      scalar = AT*B*C
      Parameters:
      a - (Input) vector
      offsetA - Input) first index in vector a
      B - (Input) Matrix
      c - (Output) vector
      offsetC - (Output) first index in vector c
    • innerProduct

      public static float innerProduct(FMatrixSparseCSC A, FMatrixRMaj B, FMatrixSparseCSC C)
      scalar = AT*B*C
      Parameters:
      A - (Input) A column vector that has length m.
      B - (Input) A matrix that is m by n.
      C - (Input) A column vector that has length n.
    • innerProductSelfSymmetrical

      public static float innerProductSelfSymmetrical(FMatrixSparseCSC A, FMatrixRMaj B)
      scalar = AT*B*A
      Parameters:
      A - (Input) A column vector that has length n.
      B - (Input) A matrix that is n by n and symmetrical.