Matrix

abstract def apply(i: Int, j: Int): Double

Gets the (i, j)-th element.

abstract def copy: Matrix

Get a deep copy of the matrix.

abstract def numActives: Int

Find the number of values stored explicitly.

abstract def numCols: Int

Number of columns.

abstract def numNonzeros: Int

Find the number of non-zero active values.

abstract def numRows: Int

Number of rows.

abstract def transpose: Matrix

Transpose the Matrix.

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

val isTransposed: Boolean

Flag that keeps track whether the matrix is transposed or not.

def multiply(y: Vector): DenseVector

Convenience method for Matrix-Vector multiplication.

def multiply(y: DenseVector): DenseVector

Convenience method for Matrix-DenseVector multiplication.

def multiply(y: DenseMatrix): DenseMatrix

Convenience method for Matrix-DenseMatrix multiplication.

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

final def synchronized[T0](arg0: ⇒ T0): T0

def toArray: Array[Double]

Converts to a dense array in column major.

def toString(maxLines: Int, maxLineWidth: Int): String

A human readable representation of the matrix with maximum lines and width

def toString(): String

A human readable representation of the matrix

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit