object SparseMatrixR extends Serializable
The SparseMatrixR object is the companion object for the SparseMatrixR class.
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- def apply(fileName: String): SparseMatrixR
Create a matrix by reading from a text file, e.g., a CSV file.
Create a matrix by reading from a text file, e.g., a CSV file.
- fileName
the name of file holding the data
- def apply(u: Vector[VectoR]): SparseMatrixR
Create a matrix and assign values from the Scala
Vectorof vectors 'u'.Create a matrix and assign values from the Scala
Vectorof vectors 'u'. Assumes vectors are column-wise.- u
the Vector of vectors to assign
- def apply(u: Array[VectoR], columnwise: Boolean = true): SparseMatrixR
Create a matrix and assign values from the array of vectors 'u'.
Create a matrix and assign values from the array of vectors 'u'.
- u
the array of vectors to assign
- columnwise
whether the vectors are treated as column or row vectors
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- def eye(m: Int, n: Int = 0): SparseMatrixR
Create an 'm-by-n' sparse identity matrix I (ones on main diagonal, zeros elsewhere).
Create an 'm-by-n' sparse identity matrix I (ones on main diagonal, zeros elsewhere). If 'n' is <= 0, set it to 'm' for a square identity matrix.
- m
the row dimension of the matrix
- n
the column dimension of the matrix (defaults to 0 => square matrix)
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