api / koma.matrix.jblas / JBlasMatrix

JBlasMatrix

class JBlasMatrix :Matrix<Double>,DoubleMatrixBase

An implementation of the Matrix interface using jBlas. You should rarely construct this class directly, instead make one via the top-level functions in creators.kt (e.g. zeros(5,5)) or JBlasMatrixFactory.

Constructors

Name	Summary
<init>	JBlasMatrix(storage: DoubleMatrix) An implementation of the Matrix interface using jBlas. You should rarely construct this class directly, instead make one via the top-level functions in creators.kt (e.g. zeros(5,5)) or JBlasMatrixFactory.

Properties

Name	Summary
storage	var storage: DoubleMatrix

Inherited Properties

Name	Summary
T	open val T:Matrix<T> Transpose operator.
size	open val size:Int

Functions

Name	Summary
LU	fun LU():Triple<Matrix<Double>,Matrix<Double>,Matrix<Double>> LU Decomposition. Returns p, l, u matrices as a triple.
QR	fun QR():Pair<Matrix<Double>,Matrix<Double>>
SVD	fun SVD():Triple<Matrix<Double>,Matrix<Double>,Matrix<Double>>
argMax	fun argMax():Int Row major 1D index.
argMin	fun argMin():Int Row major 1D index.
chol	fun chol():JBlasMatrix (lower triangular) Cholesky decomposition of the matrix. Matrix must be positive-semi definite.
copy	fun copy():JBlasMatrix Returns a copy of this matrix (same values, new memory)
det	fun det():Double Determinant of the matrix
diag	fun diag():JBlasMatrix
div	fun div(other:Int):JBlasMatrix fun div(other:Double):JBlasMatrix
elementSum	fun elementSum():Double Sum of all the elements in the matrix.
elementTimes	fun elementTimes(other:Matrix<Double>):JBlasMatrix Element-wise multiplication with another matrix
epow	fun epow(other:Double):JBlasMatrix Element-wise exponentiation of each element in the matrixfun epow(other:Int):Matrix<Double>
expm	fun expm():JBlasMatrix Compute the matrix exponential e^x (NOT elementwise)
getBaseMatrix	fun getBaseMatrix(): DoubleMatrix Returns the underlying matrix object from the back-end this Matrix is wrapping. This should be used sparingly (as it breaks encapsulation), but it can increase performance by using computation specifically designed for a particular back-end. Code using this method should not rely on a particular back-end, and should always fallback to slow generic code if an unrecognized matrix is returned here (e.g. use get and set) to access the elements generically).
getCol	fun getCol(col:Int):JBlasMatrix
getDouble	fun getDouble(i:Int, j:Int):Double fun getDouble(i:Int):Double
getDoubleData	fun getDoubleData():DoubleArray Retrieves the data formatted as doubles in row-major order This method is only for performance over potentially boxing get(Double) methods. This method may or may not return a copy, and thus should be treated as read-only unless backend behavior is known.
getFactory	fun getFactory():JBlasMatrixFactory Because sometimes all you have is a Matrix, but you really want a MatrixFactory.
getRow	fun getRow(row:Int):JBlasMatrix
inv	fun inv():JBlasMatrix Matrix inverse (square matrices)
max	fun max():Double Maximum value contained in the matrix
mean	fun mean():Double Mean (average) of all the elements in the matrix.
min	fun min():Double Minimum value contained in the matrix
minus	fun minus(other:Double):JBlasMatrix fun minus(other:Matrix<Double>):JBlasMatrix
normF	fun normF():Double Frobenius normal of the matrix
normIndP1	fun normIndP1():Double Induced, p=1 normal of the matrix. Equivalent of norm(matrix,1) in scipy.
numCols	fun numCols():Int Number of columns in the matrix
numRows	fun numRows():Int Number of rows in the matrix
pinv	fun pinv():Matrix<Double> Pseudo-inverse of (non-square) matrix
plus	fun plus(other:Double):JBlasMatrix fun plus(other:Matrix<Double>):JBlasMatrix
setCol	fun setCol(index:Int, col:Matrix<Double>):Unit
setDouble	fun setDouble(i:Int, v:Double):Unit fun setDouble(i:Int, j:Int, v:Double):Unit
setRow	fun setRow(index:Int, row:Matrix<Double>):Unit
solve	fun solve(other:Matrix<Double>):Matrix<Double> Solves A*X=B for X, returning X (X is either column vector or a matrix composed of several col vectors). A is the current matrix, B is the passed in other)/other), and X is the returned matrix.
times	fun times(other:Matrix<Double>):JBlasMatrix fun times(other:Double):JBlasMatrix
trace	fun trace():Double The matrix trace.
transpose	fun transpose():JBlasMatrix Transpose of the matrix
unaryMinus	fun unaryMinus():JBlasMatrix

Inherited Functions

Name	Summary
T	open fun T():Matrix<T> Transpose operator.
asColVector	open fun asColVector():Matrix<T> Returns the given vector as a row vector. Will call transpose() on row vectors
asRowVector	open fun asRowVector():Matrix<T> Returns the given vector as a row vector. Will call transpose() on column vectors
cumSum	open fun cumSum():Matrix<T> Calculates the cumulative (ongoing) sum of a matrix's elements. For example, cumsum(mat[1,2,3]) would return mat[1,3,6]. Assumes matrix type is convertible to double.
filterCols	open fun filterCols(f: (col:Matrix<T>) ->Boolean):Matrix<T> Builds a new matrix with a subset of the columns of this matrix, using only the columns for which the function f returns true.
filterColsIndexed	open fun filterColsIndexed(f: (colIndex:Int, col:Matrix<T>) ->Boolean):Matrix<T> Builds a new matrix with a subset of the columns of this matrix, using only the columns for which the function f returns true.
filterRows	open fun filterRows(f: (row:Matrix<T>) ->Boolean):Matrix<T> Builds a new matrix with a subset of the rows of this matrix, using only the rows for which the function f returns true.
filterRowsIndexed	open fun filterRowsIndexed(f: (rowIndex:Int, row:Matrix<T>) ->Boolean):Matrix<T> Builds a new matrix with a subset of the rows of this matrix, using only the rows for which the function f returns true.
forEachCol	open fun forEachCol(f: (Matrix<T>) ->Unit):Unit Passes each col from left to right into a function.
forEachRow	open fun forEachRow(f: (Matrix<T>) ->Unit):Unit Passes each row from top to bottom into a function.
getBaseArray	open fun getBaseArray():Any
getByte	open fun getByte(vararg indices:Int):Byte
getDouble	open fun getDouble(vararg indices:Int):Double
getFloat	abstract fun getFloat(i:Int, j:Int):Float open fun getFloat(vararg indices:Int):Float
getGeneric	abstract fun getGeneric(i:Int, j:Int):T open fun getGeneric(vararg indices:Int):T
getInt	abstract fun getInt(i:Int, j:Int):Int open fun getInt(vararg indices:Int):Int
getLinear	open fun getLinear(index:Int):T
getLong	open fun getLong(vararg indices:Int):Long
getShort	open fun getShort(vararg indices:Int):Short
mapCols	open fun mapCols(f: (Matrix<T>) ->Matrix<T>):Matrix<T> Takes each col in a matrix, passes them through f, and puts the output of f into a col of an output matrix.
mapColsToList	open fun <U> mapColsToList(f: (Matrix<T>) ->U):List<U> Takes each col in a matrix, passes them through f, and puts the outputs into a List. In contrast to this#mapCols, the usage of a list as the output container allows for arbitrary output types, such as taking a double matrix and returning a list of strings.
mapRows	open fun mapRows(f: (Matrix<T>) ->Matrix<T>):Matrix<T> Takes each row in a matrix, passes them through f, and puts the output of f into a row of an output matrix.
mapRowsToList	open fun <U> mapRowsToList(f: (Matrix<T>) ->U):List<U> Takes each row in a matrix, passes them through f, and puts the outputs into a List. In contrast to this#mapRows, the usage of a list as the output container allows for arbitrary output types, such as taking a double matrix and returning a list of strings.
pow	open infix fun pow(exponent:Int):Matrix<T> Multiplies the matrix by itself exponent times (using matrix multiplication).
repr	open fun repr():String
selectCols	open fun selectCols(vararg idxs:Int):Matrix<T> Select a set of cols from a matrix to form the cols of a new matrix. For example, if you wanted a new matrix consisting of the first, second, and fifth cols of an input matrix, you would write input.selectCols(0,1,4).open fun <U :Number> selectCols(idxs:Matrix<U>):Matrix<T>
selectRows	open fun selectRows(vararg idxs:Int):Matrix<T> Select a set of rows from a matrix to form the rows of a new matrix. For example, if you wanted a new matrix consisting of the first, second, and fifth rows of an input matrix, you would write input.selectRows(0,1,4).open fun <U :Number> selectRows(idxs:Matrix<U>):Matrix<T>
setByte	open fun setByte(vararg indices:Int, value:Byte):Nothing
setDouble	open fun setDouble(vararg indices:Int, value:Double):Unit
setFloat	abstract fun setFloat(i:Int, j:Int, v:Float):Unit open fun setFloat(vararg indices:Int, value:Float):Unit
setGeneric	abstract fun setGeneric(i:Int, j:Int, v:T):Unit open fun setGeneric(vararg indices:Int, value:T):Unit
setInt	abstract fun setInt(i:Int, j:Int, v:Int):Unit open fun setInt(vararg indices:Int, value:Int):Unit
setLinear	open fun setLinear(index:Int, value:T):Unit
setLong	open fun setLong(vararg indices:Int, value:Long):Nothing
setShort	open fun setShort(vararg indices:Int, value:Short):Nothing
shape	open fun shape():List<Int>
to2DArray	open fun to2DArray():Array<DoubleArray> Returns a Matrix as a double 2D array. Intended for MATLAB interop.
toIterable	open fun toIterable():Iterable<T>
wrapRange	open fun wrapRange(range:IntRange, max:Int):IntRange

Extension Functions

Name	Summary
all	funMatrix<Double>.all(f: (Double) ->Boolean):Boolean fun <T>Matrix<T>.all(f: (T) ->Boolean):Boolean Checks to see if all elements cause f to return true.
allClose	funMatrix<Double>.allClose(other:Matrix<Double>, rtol:Double= 1e-05, atol:Double= 1e-08):Boolean
any	funMatrix<Double>.any(f: (Double) ->Boolean):Boolean fun <T>Matrix<T>.any(f: (T) ->Boolean):Boolean Checks to see if any element in the matrix causes f to return true.
checkIndices	fun <T>NDArray<T>.checkIndices(indices:IntArray):IntArray
checkLinearIndex	fun <T>NDArray<T>.checkLinearIndex(index:Int):Int
div	operator funNDArray<Double>.div(other:Double):NDArray<Double>
emul	infix funMatrix<Double>.emul(other:Matrix<Double>):Matrix<Double> Allow infix operator "a emul b" to be element-wise multiplication of two matrices.
fill	funMatrix<Double>.fill(f: (row:Int, col:Int) ->Double):Matrix<Double> fun <T>Matrix<T>.fill(f: (row:Int, col:Int) ->T):Matrix<T> Fills the matrix with the values returned by the input function.funNDArray<Double>.fill(f: (idx:IntArray) ->Double):NDArray<Double> fun <T>NDArray<T>.fill(f: (idx:IntArray) ->T):NDArray<T>
fillBoth	funNDArray<Double>.fillBoth(f: (nd:IntArray, linear:Int) ->Double):NDArray<Double> fun <T>NDArray<T>.fillBoth(f: (nd:IntArray, linear:Int) ->T):NDArray<T>
fillLinear	funNDArray<Double>.fillLinear(f: (idx:Int) ->Double):NDArray<Double> fun <T>NDArray<T>.fillLinear(f: (idx:Int) ->T):NDArray<T>
forEach	fun <T>Matrix<T>.forEach(f: (T) ->Unit):Unit Passes each element in row major order into a function.fun <T>NDArray<T>.forEach(f: (ele:T) ->Unit):Unit Takes each element in a NDArray and passes them through f.
forEachIndexed	funMatrix<Double>.forEachIndexed(f: (row:Int, col:Int, ele:Double) ->Unit):Unit fun <T>Matrix<T>.forEachIndexed(f: (row:Int, col:Int, ele:T) ->Unit):Unit Passes each element in row major order into a function along with its index location.funNDArray<Double>.forEachIndexed(f: (idx:Int, ele:Double) ->Unit):Unit fun <T>NDArray<T>.forEachIndexed(f: (idx:Int, ele:T) ->Unit):Unit Takes each element in a NDArray and passes them through f. Index given to f is a linear index, depending on the underlying storage major dimension.
forEachIndexedN	funNDArray<Double>.forEachIndexedN(f: (idx:IntArray, ele:Double) ->Unit):Unit fun <T>NDArray<T>.forEachIndexedN(f: (idx:IntArray, ele:T) ->Unit):Unit Takes each element in a NDArray and passes them through f. Index given to f is the full ND index of the element.
linearToNIdx	fun <T>NDArray<T>.linearToNIdx(linear:Int):IntArray Given the 1D index of an element in the underlying storage, find the corresponding ND index. Inverse of nIdxToLinear.
map	fun <T>Matrix<T>.map(f: (T) ->T):Matrix<T> Takes each element in a matrix, passes them through f, and puts the output of f into an output matrix. This process is done in row-major order.fun <T>NDArray<T>.map(f: (T) ->T):DefaultGenericNDArray<T> Takes each element in a NDArray, passes them through f, and puts the output of f into an output NDArray.
mapIndexed	funMatrix<Double>.mapIndexed(f: (row:Int, col:Int, ele:Double) ->Double):Matrix<Double> fun <T>Matrix<T>.mapIndexed(f: (row:Int, col:Int, ele:T) ->T):Matrix<T> Takes each element in a matrix, passes them through f, and puts the output of f into an output matrix. This process is done in row-major order.funNDArray<Double>.mapIndexed(f: (idx:Int, ele:Double) ->Double):NDArray<Double> fun <T>NDArray<T>.mapIndexed(f: (idx:Int, ele:T) ->T):DefaultGenericNDArray<T> Takes each element in a NDArray, passes them through f, and puts the output of f into an output NDArray. Index given to f is a linear index, depending on the underlying storage major dimension.
mapIndexedN	funNDArray<Double>.mapIndexedN(f: (idx:IntArray, ele:Double) ->Double):NDArray<Double> fun <T>NDArray<T>.mapIndexedN(f: (idx:IntArray, ele:T) ->T):NDArray<T> Takes each element in a NDArray, passes them through f, and puts the output of f into an output NDArray. Index given to f is the full ND index of the element.
minus	operator funNDArray<Double>.minus(other:Double):NDArray<Double> operator funNDArray<Double>.minus(other:NDArray<Double>):NDArray<Double>``operator funMatrix<Double>.minus(value:Int):Matrix<Double> Allow operator overloading with non-Double scalars
nIdxToLinear	fun <T>NDArray<T>.nIdxToLinear(indices:IntArray):Int Given a ND index into this array, find the corresponding 1D index in the raw underlying 1D storage array.
plus	operator funNDArray<Double>.plus(other:Double):NDArray<Double> operator funNDArray<Double>.plus(other:NDArray<Double>):NDArray<Double>``operator funMatrix<Double>.plus(value:Int):Matrix<Double> Allow operator overloading with non-Double scalars
pow	infix funNDArray<Double>.pow(exponent:Int):NDArray<Double>
safeNIdxToLinear	fun <T>NDArray<T>.safeNIdxToLinear(indices:IntArray):Int
set	operator funMatrix<Double>.set(i:Int, v:Double):Unit operator fun <T>Matrix<T>.set(i:Int, v:T):Unit Set the ith element in the matrix. If 2D, selects elements in row-major order.operator funMatrix<Double>.set(i:Int, j:Int, v:Double):Unit operator funMatrix<Double>.set(rows:IntRange, cols:IntRange, value:Double):Unit operator funMatrix<Double>.set(rows:Int, cols:IntRange, value:Double):Unit operator funMatrix<Double>.set(rows:IntRange, cols:Int, value:Double):Unit operator funMatrix<Double>.set(i:Int, v:Int):Unit operator funMatrix<Double>.set(i:Int, j:Int, v:Int):Unit operator fun <T>Matrix<T>.set(i:Int, j:Int, v:T):Unit operator fun <T>Matrix<T>.set(rows:IntRange, cols:IntRange, value:T):Unit operator fun <T>Matrix<T>.set(rows:Int, cols:IntRange, value:T):Unit operator fun <T>Matrix<T>.set(rows:IntRange, cols:Int, value:T):Unit operator funNDArray<Double>.set(vararg indices:Int, value:NDArray<Double>):Unit operator funNDArray<Double>.set(vararg indices:Int, value:Double):Unit operator fun <T>NDArray<T>.set(vararg indices:Int, value:NDArray<T>):Unit operator fun <T>NDArray<T>.set(vararg indices:Int, value:T):Unitoperator funMatrix<Double>.set(rows:IntRange, cols:IntRange, value:Matrix<Double>):Unit operator fun <T>Matrix<T>.set(rows:IntRange, cols:IntRange, value:Matrix<T>):Unit Allow assignment to a slice, e.g. matrix[1..2, 3..4]=something. Note that the range 1..2 is inclusive, so it will retrieve row 1 and 2. Use 1.until(2) for a non-inclusive range.operator funMatrix<Double>.set(rows:Int, cols:IntRange, value:Matrix<Double>):Unit operator fun <T>Matrix<T>.set(rows:Int, cols:IntRange, value:Matrix<T>):Unit Allow assignment to a slice, e.g. matrix[2, 3..4]=something. Note that the range 3..4 is inclusive, so it will retrieve col 3 and 4. Use 1.until(2) for a non-inclusive range.operator funMatrix<Double>.set(rows:IntRange, cols:Int, value:Matrix<Double>):Unit operator fun <T>Matrix<T>.set(rows:IntRange, cols:Int, value:Matrix<T>):Unit Allow assignment to a slice, e.g. matrix[1..2, 3]=something. Note that the range 1..2 is inclusive, so it will retrieve row 1 and 2. Use 1.until(2) for a non-inclusive range.
times	operator funNDArray<Double>.times(other:NDArray<Double>):NDArray<Double> operator funNDArray<Double>.times(other:Double):NDArray<Double>``operator funMatrix<Double>.times(other:Int):Matrix<Double> Multiply a scalar by a matrix
toDoubleArray	funNDArray<Double>.toDoubleArray():DoubleArray Converts this NDArray into a one-dimensional DoubleArray in row-major order.
toMatrix	funNDArray<Double>.toMatrix():Matrix<Double>
toMatrixOrNull	fun <T>NDArray<T>.toMatrixOrNull():Matrix<T>?
toTypedArray	fun <T>NDArray<T>.toTypedArray():Array<T> Converts this NDArray into a one-dimensional Array in row-major order.
unaryMinus	operator funNDArray<Double>.unaryMinus():NDArray<Double>
validate	funMatrix<Double>.validate(fn:ValidationContext.() ->Unit):Unit Use the given fn to validate a matrix. Return either the matrix itself or a copy that has been transformed to match the validation rules.funMatrix<Double>.validate(name:String, fn:ValidationContext.() ->Unit):Unit Use the given fn to validate a matrix with the given name. Return either the matrix itself or a copy that has been transformed to match the validation rules.
widthOfDims	fun <T>NDArray<T>.widthOfDims():ArrayList<Int>