Matrix

Class and companion object for dense matrices on the CPU.

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Constructor

The following syntax is available for constructing Matrix instances from indexed functions:

(0::16, 0::32){(i,j) => func(i,j) }

This returns a Matrix with 16 rows and 32 columns, with elements defined by func(i,j). More general Range forms can also be used, including strided (e.g. 0::2::8) and offset (e.g. 32::64). The iterators i and j will iterate over all values in their respective ranges.

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Static methods

object Matrix
def tabulate[T:Type](rows: Index, cols: Index)(func: (Index, Index) => T): Matrix[T] Returns an immutable Matrix with the given rows and cols and elements defined by func.
def fill[T:Type](rows: Index, cols: Index)(func: => T): Matrix[T] = this.tabulate(rows, cols){(_,_) Returns an immutable Matrix with the given rows and cols and elements defined by func. Note that while func does not depend on the index, it is still executed rows*****cols times.

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Infix methods

class Matrix
def rows: Index Returns the number of rows in this Matrix.
def cols: Index Returns the number of columns in this Matrix.
def apply(i: Index, j: Index): T Returns the element at the given two-dimensional address (i, j).
def update(i: Index, j: Index, elem: T): Unit Updates the element at the given two dimensional address to elem.
def flatten: Array[T] Returns a flattened, immutable Array view of this Matrix’s data.
def foreach(func: T => Unit): Unit Applies the function func on each element in this Matrix.
def map[R:Type](func: T => R): Matrix[R] Returns a new Matrix created using the mapping func over each element in this Matrix.
def zip[S:Type,R:Type](that: Matrix[S])(func: (T,S) => R): Matrix[R] Returns a new Matrix created using the pairwise mapping func over each element in this Matrix and the corresponding element in that.
def reduce(rfunc: (T,T) => T): T Reduces the elements in this Matrix into a single element using associative function rfunc.
def transpose(): Matrix[T] = (0::cols, 0::rows){(j, i) Returns the transpose of this Matrix.