Uses of Class
cern.colt.matrix.DoubleMatrix1D
Packages that use DoubleMatrix1D
Package
Description
Matrix interfaces and factories; efficient and flexible dense and sparse
1, 2, 3 and d-dimensional matrices holding objects or primitive data types such
as int, double, etc; Templated, fixed sized (not dynamically
resizable); Also known as multi-dimensional arrays or Data Cubes.
Double matrix algorithms such as print formatting, sorting, partitioning and statistics.
Matrix implementations; You normally need not look at this package, because all concrete classes implement the abstract interfaces of
cern.colt.matrix
, without subsetting or supersetting.Linear Algebraic matrix computations operating on
DoubleMatrix2D
and DoubleMatrix1D
.-
Uses of DoubleMatrix1D in cern.colt.matrix
Methods in cern.colt.matrix that return DoubleMatrix1DModifier and TypeMethodDescriptionDoubleFactory1D.append
(DoubleMatrix1D A, DoubleMatrix1D B) C = A||B; Constructs a new matrix which is the concatenation of two other matrices.DoubleFactory1D.ascending
(int size) Constructs a matrix with cells having ascending values.DoubleMatrix1D.assign
(double value) Sets all cells to the state specified by value.DoubleMatrix1D.assign
(double[] values) Sets all cells to the state specified by values.DoubleMatrix1D.assign
(DoubleFunction function) Assigns the result of a function to each cell; x[i] = function(x[i]).DoubleMatrix1D.assign
(DoubleMatrix1D other) Replaces all cell values of the receiver with the values of another matrix.DoubleMatrix1D.assign
(DoubleMatrix1D y, DoubleDoubleFunction function) Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).DoubleMatrix1D.assign
(DoubleMatrix1D y, DoubleDoubleFunction function, IntArrayList nonZeroIndexes) Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).DoubleMatrix1D.copy()
Constructs and returns a deep copy of the receiver.DoubleFactory1D.descending
(int size) Constructs a matrix with cells having descending values.DoubleFactory2D.diagonal
(DoubleMatrix2D A) Constructs a new vector consisting of the diagonal elements of A.protected DoubleMatrix1D
DoubleMatrix1D.getContent()
Returns the content of this matrix if it is a wrapper; or this otherwise.DoubleMatrix1D.like()
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the same size.abstract DoubleMatrix1D
DoubleMatrix1D.like
(int size) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.abstract DoubleMatrix1D
DoubleMatrix2D.like1D
(int size) Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.protected abstract DoubleMatrix1D
DoubleMatrix2D.like1D
(int size, int zero, int stride) Construct and returns a new 1-d matrix of the corresponding dynamic type, sharing the same cells.DoubleFactory1D.make
(double[] values) Constructs a matrix with the given cell values.DoubleFactory1D.make
(int size) Constructs a matrix with the given shape, each cell initialized with zero.DoubleFactory1D.make
(int size, double initialValue) Constructs a matrix with the given shape, each cell initialized with the given value.DoubleFactory1D.make
(AbstractDoubleList values) Constructs a matrix from the values of the given list.DoubleFactory1D.make
(DoubleMatrix1D[] parts) Constructs a matrix which is the concatenation of all given parts.protected DoubleMatrix1D
DoubleFactory2D.make1D
(int size) Constructs a 1d matrix of the right dynamic type.DoubleFactory1D.random
(int size) Constructs a matrix with uniformly distributed values in (0,1) (exclusive).DoubleFactory1D.repeat
(DoubleMatrix1D A, int repeat) C = A||A||..||A; Constructs a new matrix which is concatenated repeat times.DoubleFactory1D.sample
(int size, double value, double nonZeroFraction) Constructs a randomly sampled matrix with the given shape.protected DoubleMatrix1D
DoubleMatrix1D.view()
Constructs and returns a new view equal to the receiver.DoubleMatrix2D.viewColumn
(int column) Constructs and returns a new slice view representing the rows of the given column.DoubleMatrix1D.viewFlip()
Constructs and returns a new flip view.DoubleMatrix1D.viewPart
(int index, int width) Constructs and returns a new sub-range view that is a width sub matrix starting at index.DoubleMatrix2D.viewRow
(int row) Constructs and returns a new slice view representing the columns of the given row.DoubleMatrix1D.viewSelection
(int[] indexes) Constructs and returns a new selection view that is a matrix holding the indicated cells.DoubleMatrix1D.viewSelection
(DoubleProcedure condition) Constructs and returns a new selection view that is a matrix holding the cells matching the given condition.protected abstract DoubleMatrix1D
DoubleMatrix1D.viewSelectionLike
(int[] offsets) Construct and returns a new selection view.DoubleMatrix1D.viewSorted()
Sorts the vector into ascending order, according to the natural ordering.DoubleMatrix1D.viewStrides
(int stride) Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.DoubleMatrix2D.zMult
(DoubleMatrix1D y, DoubleMatrix1D z) Linear algebraic matrix-vector multiplication; z = A * y; Equivalent to return A.zMult(y,z,1,0);DoubleMatrix2D.zMult
(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA) Linear algebraic matrix-vector multiplication; z = alpha * A * y + beta*z.Methods in cern.colt.matrix with parameters of type DoubleMatrix1DModifier and TypeMethodDescriptiondouble
DoubleMatrix1D.aggregate
(DoubleMatrix1D other, DoubleDoubleFunction aggr, DoubleDoubleFunction f) Applies a function to each corresponding cell of two matrices and aggregates the results.DoubleFactory1D.append
(DoubleMatrix1D A, DoubleMatrix1D B) C = A||B; Constructs a new matrix which is the concatenation of two other matrices.boolean
DoubleMatrix1DProcedure.apply
(DoubleMatrix1D element) Applies a procedure to an argument.DoubleMatrix1D.assign
(DoubleMatrix1D other) Replaces all cell values of the receiver with the values of another matrix.DoubleMatrix1D.assign
(DoubleMatrix1D y, DoubleDoubleFunction function) Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).DoubleMatrix1D.assign
(DoubleMatrix1D y, DoubleDoubleFunction function, IntArrayList nonZeroIndexes) Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).DoubleFactory2D.diagonal
(DoubleMatrix1D vector) Constructs a new diagonal matrix whose diagonal elements are the elements of vector.protected boolean
DoubleMatrix1D.haveSharedCells
(DoubleMatrix1D other) Returns true if both matrices share at least one identical cell.protected boolean
DoubleMatrix1D.haveSharedCellsRaw
(DoubleMatrix1D other) Returns true if both matrices share at least one identical cell.DoubleFactory1D.make
(DoubleMatrix1D[] parts) Constructs a matrix which is the concatenation of all given parts.DoubleFactory1D.repeat
(DoubleMatrix1D A, int repeat) C = A||A||..||A; Constructs a new matrix which is concatenated repeat times.void
DoubleMatrix1D.swap
(DoubleMatrix1D other) Swaps each element this[i] with other[i].DoubleFactory1D.toList
(DoubleMatrix1D values) Constructs a list from the given matrix.double
DoubleMatrix1D.zDotProduct
(DoubleMatrix1D y) Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).double
DoubleMatrix1D.zDotProduct
(DoubleMatrix1D y, int from, int length) Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).double
DoubleMatrix1D.zDotProduct
(DoubleMatrix1D y, int from, int length, IntArrayList nonZeroIndexes) Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).protected double
DoubleMatrix1D.zDotProduct
(DoubleMatrix1D y, IntArrayList nonZeroIndexes) Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).DoubleMatrix2D.zMult
(DoubleMatrix1D y, DoubleMatrix1D z) Linear algebraic matrix-vector multiplication; z = A * y; Equivalent to return A.zMult(y,z,1,0);DoubleMatrix2D.zMult
(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA) Linear algebraic matrix-vector multiplication; z = alpha * A * y + beta*z. -
Uses of DoubleMatrix1D in cern.colt.matrix.doublealgo
Methods in cern.colt.matrix.doublealgo that return DoubleMatrix1DModifier and TypeMethodDescriptionstatic DoubleMatrix1D
Transform.abs
(DoubleMatrix1D A) Deprecated.A[i] = Math.abs(A[i]).static DoubleMatrix1D
Transform.div
(DoubleMatrix1D A, double s) Deprecated.A = A / s invalid input: '<'=> A[i] = A[i] / s.static DoubleMatrix1D
Transform.div
(DoubleMatrix1D A, DoubleMatrix1D B) Deprecated.A = A / B invalid input: '<'=> A[i] = A[i] / B[i].static DoubleMatrix1D
Transform.minus
(DoubleMatrix1D A, double s) Deprecated.A = A - s invalid input: '<'=> A[i] = A[i] - s.static DoubleMatrix1D
Transform.minus
(DoubleMatrix1D A, DoubleMatrix1D B) Deprecated.A = A - B invalid input: '<'=> A[i] = A[i] - B[i].static DoubleMatrix1D
Transform.minusMult
(DoubleMatrix1D A, DoubleMatrix1D B, double s) Deprecated.A = A - B*s invalid input: '<'=> A[i] = A[i] - B[i]*s.static DoubleMatrix1D
Transform.mult
(DoubleMatrix1D A, double s) Deprecated.A = A * s invalid input: '<'=> A[i] = A[i] * s.static DoubleMatrix1D
Transform.mult
(DoubleMatrix1D A, DoubleMatrix1D B) Deprecated.A = A * B invalid input: '<'=> A[i] = A[i] * B[i].static DoubleMatrix1D
Transform.negate
(DoubleMatrix1D A) Deprecated.A = -A invalid input: '<'=> A[i] = -A[i] for all cells.static DoubleMatrix1D
Transform.plus
(DoubleMatrix1D A, double s) Deprecated.A = A + s invalid input: '<'=> A[i] = A[i] + s.static DoubleMatrix1D
Transform.plus
(DoubleMatrix1D A, DoubleMatrix1D B) Deprecated.A = A + B invalid input: '<'=> A[i] = A[i] + B[i].static DoubleMatrix1D
Transform.plusMult
(DoubleMatrix1D A, DoubleMatrix1D B, double s) Deprecated.A = A + B*sinvalid input: '<'=> A[i] = A[i] + B[i]*s.static DoubleMatrix1D
Transform.pow
(DoubleMatrix1D A, double s) Deprecated.A = As invalid input: '<'=> A[i] = Math.pow(A[i], s).static DoubleMatrix1D
Transform.pow
(DoubleMatrix1D A, DoubleMatrix1D B) Deprecated.A = AB invalid input: '<'=> A[i] = Math.pow(A[i], B[i]).Sorting.sort
(DoubleMatrix1D vector) Sorts the vector into ascending order, according to the natural ordering.Sorting.sort
(DoubleMatrix1D vector, DoubleComparator c) Sorts the vector into ascending order, according to the order induced by the specified comparator.static DoubleMatrix1D
Statistic.viewSample
(DoubleMatrix1D matrix, double fraction, RandomEngine randomGenerator) Constructs and returns a sampling view with a size of round(matrix.size() * fraction).Methods in cern.colt.matrix.doublealgo with parameters of type DoubleMatrix1DModifier and TypeMethodDescriptionstatic DoubleMatrix1D
Transform.abs
(DoubleMatrix1D A) Deprecated.A[i] = Math.abs(A[i]).double
Statistic.VectorVectorFunction.apply
(DoubleMatrix1D x, DoubleMatrix1D y) Applies a function to two argument vectors.static DynamicBin1D
Statistic.bin
(DoubleMatrix1D vector) Fills all cell values of the given vector into a bin from which statistics measures can be retrieved efficiently.int
DoubleMatrix1DComparator.compare
(DoubleMatrix1D o1, DoubleMatrix1D o2) Compares its two arguments for order.static IHistogram2D
Statistic.cube
(DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix1D weights) 2-d OLAP cube operator; Fills all cells of the given vectors into the given histogram.static IHistogram3D
Statistic.cube
(DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix1D z, DoubleMatrix1D weights) 3-d OLAP cube operator; Fills all cells of the given vectors into the given histogram.static DoubleMatrix1D
Transform.div
(DoubleMatrix1D A, double s) Deprecated.A = A / s invalid input: '<'=> A[i] = A[i] / s.static DoubleMatrix1D
Transform.div
(DoubleMatrix1D A, DoubleMatrix1D B) Deprecated.A = A / B invalid input: '<'=> A[i] = A[i] / B[i].protected String
Formatter.form
(DoubleMatrix1D matrix, int index, Former formatter) Converts a given cell to a String; no alignment considered.static IHistogram1D
Statistic.histogram
(IHistogram1D histo, DoubleMatrix1D vector) Fills all cells of the given vector into the given histogram.static IHistogram2D
Statistic.histogram
(IHistogram2D histo, DoubleMatrix1D x, DoubleMatrix1D y) Fills all cells of the given vectors into the given histogram.static IHistogram2D
Statistic.histogram
(IHistogram2D histo, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix1D weights) Fills all cells of the given vectors into the given histogram.static IHistogram3D
Statistic.histogram
(IHistogram3D histo, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix1D z, DoubleMatrix1D weights) Fills all cells of the given vectors into the given histogram.static DoubleMatrix1D
Transform.minus
(DoubleMatrix1D A, double s) Deprecated.A = A - s invalid input: '<'=> A[i] = A[i] - s.static DoubleMatrix1D
Transform.minus
(DoubleMatrix1D A, DoubleMatrix1D B) Deprecated.A = A - B invalid input: '<'=> A[i] = A[i] - B[i].static DoubleMatrix1D
Transform.minusMult
(DoubleMatrix1D A, DoubleMatrix1D B, double s) Deprecated.A = A - B*s invalid input: '<'=> A[i] = A[i] - B[i]*s.static DoubleMatrix1D
Transform.mult
(DoubleMatrix1D A, double s) Deprecated.A = A * s invalid input: '<'=> A[i] = A[i] * s.static DoubleMatrix1D
Transform.mult
(DoubleMatrix1D A, DoubleMatrix1D B) Deprecated.A = A * B invalid input: '<'=> A[i] = A[i] * B[i].static DoubleMatrix1D
Transform.negate
(DoubleMatrix1D A) Deprecated.A = -A invalid input: '<'=> A[i] = -A[i] for all cells.static DoubleMatrix1D
Transform.plus
(DoubleMatrix1D A, double s) Deprecated.A = A + s invalid input: '<'=> A[i] = A[i] + s.static DoubleMatrix1D
Transform.plus
(DoubleMatrix1D A, DoubleMatrix1D B) Deprecated.A = A + B invalid input: '<'=> A[i] = A[i] + B[i].static DoubleMatrix1D
Transform.plusMult
(DoubleMatrix1D A, DoubleMatrix1D B, double s) Deprecated.A = A + B*sinvalid input: '<'=> A[i] = A[i] + B[i]*s.static DoubleMatrix1D
Transform.pow
(DoubleMatrix1D A, double s) Deprecated.A = As invalid input: '<'=> A[i] = Math.pow(A[i], s).static DoubleMatrix1D
Transform.pow
(DoubleMatrix1D A, DoubleMatrix1D B) Deprecated.A = AB invalid input: '<'=> A[i] = Math.pow(A[i], B[i]).Sorting.sort
(DoubleMatrix1D vector) Sorts the vector into ascending order, according to the natural ordering.Sorting.sort
(DoubleMatrix1D vector, DoubleComparator c) Sorts the vector into ascending order, according to the order induced by the specified comparator.Formatter.toSourceCode
(DoubleMatrix1D matrix) Returns a string s such that Object[] m = s is a legal Java statement.Formatter.toString
(DoubleMatrix1D matrix) Returns a string representation of the given matrix.static DoubleMatrix1D
Statistic.viewSample
(DoubleMatrix1D matrix, double fraction, RandomEngine randomGenerator) Constructs and returns a sampling view with a size of round(matrix.size() * fraction).private static int
Partitioning.xPartitionOld
(DoubleMatrix2D matrix, DoubleMatrix1D column, int from, int to, double splitter) Same asinvalid reference
#partition(int[],int,int,int)
private static void
Partitioning.xPartitionOld
(DoubleMatrix2D matrix, DoubleMatrix1D column, int from, int to, double[] splitters, int splitFrom, int splitTo, int[] splitIndexes) Same asinvalid reference
#partition(int[],int,int,int[],int,int,int[])
-
Uses of DoubleMatrix1D in cern.colt.matrix.impl
Subclasses of DoubleMatrix1D in cern.colt.matrix.implModifier and TypeClassDescription(package private) class
1-d matrix holding double elements; either a view wrapping another 2-d matrix and therefore delegating calls to it.class
Dense 1-d matrix (aka vector) holding double elements.(package private) class
Selection view on dense 1-d matrices holding double elements.(package private) class
Selection view on sparse 1-d matrices holding double elements.class
Sparse hashed 1-d matrix (aka vector) holding double elements.(package private) class
1-d matrix holding double elements; either a view wrapping another matrix or a matrix whose views are wrappers.Fields in cern.colt.matrix.impl declared as DoubleMatrix1DMethods in cern.colt.matrix.impl that return DoubleMatrix1DModifier and TypeMethodDescriptionDenseDoubleMatrix1D.assign
(double value) Sets all cells to the state specified by value.DenseDoubleMatrix1D.assign
(double[] values) Sets all cells to the state specified by values.DenseDoubleMatrix1D.assign
(DoubleFunction function) Assigns the result of a function to each cell; x[i] = function(x[i]).DenseDoubleMatrix1D.assign
(DoubleMatrix1D source) Replaces all cell values of the receiver with the values of another matrix.DenseDoubleMatrix1D.assign
(DoubleMatrix1D y, DoubleDoubleFunction function) Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).SparseDoubleMatrix1D.assign
(double value) Sets all cells to the state specified by value.protected DoubleMatrix1D
WrapperDoubleMatrix1D.getContent()
Returns the content of this matrix if it is a wrapper; or this otherwise.DelegateDoubleMatrix1D.like
(int size) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.DenseDoubleMatrix1D.like
(int size) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.SelectedDenseDoubleMatrix1D.like
(int size) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.SelectedSparseDoubleMatrix1D.like
(int size) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.SparseDoubleMatrix1D.like
(int size) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.WrapperDoubleMatrix1D.like
(int size) Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.DenseDoubleMatrix2D.like1D
(int size) Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.protected DoubleMatrix1D
DenseDoubleMatrix2D.like1D
(int size, int zero, int stride) Construct and returns a new 1-d matrix of the corresponding dynamic type, sharing the same cells.RCDoubleMatrix2D.like1D
(int size) Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.RCMDoubleMatrix2D.like1D
(int size) Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.SelectedDenseDoubleMatrix2D.like1D
(int size) Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.protected DoubleMatrix1D
SelectedDenseDoubleMatrix2D.like1D
(int size, int zero, int stride) Construct and returns a new 1-d matrix of the corresponding dynamic type, sharing the same cells.SelectedSparseDoubleMatrix2D.like1D
(int size) Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.protected DoubleMatrix1D
SelectedSparseDoubleMatrix2D.like1D
(int size, int zero, int stride) Construct and returns a new 1-d matrix of the corresponding dynamic type, sharing the same cells.SparseDoubleMatrix2D.like1D
(int size) Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.protected DoubleMatrix1D
SparseDoubleMatrix2D.like1D
(int size, int offset, int stride) Construct and returns a new 1-d matrix of the corresponding dynamic type, sharing the same cells.TridiagonalDoubleMatrix2D.like1D
(int size) Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.WrapperDoubleMatrix2D.like1D
(int size) Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.protected DoubleMatrix1D
WrapperDoubleMatrix2D.like1D
(int size, int offset, int stride) Construct and returns a new 1-d matrix of the corresponding dynamic type, sharing the same cells.SelectedDenseDoubleMatrix2D.viewColumn
(int column) Constructs and returns a new slice view representing the rows of the given column.SelectedSparseDoubleMatrix2D.viewColumn
(int column) Constructs and returns a new slice view representing the rows of the given column.WrapperDoubleMatrix2D.viewColumn
(int column) Constructs and returns a new slice view representing the rows of the given column.WrapperDoubleMatrix1D.viewFlip()
Constructs and returns a new flip view.WrapperDoubleMatrix1D.viewPart
(int index, int width) Constructs and returns a new sub-range view that is a width sub matrix starting at index.SelectedDenseDoubleMatrix2D.viewRow
(int row) Constructs and returns a new slice view representing the columns of the given row.SelectedSparseDoubleMatrix2D.viewRow
(int row) Constructs and returns a new slice view representing the columns of the given row.WrapperDoubleMatrix2D.viewRow
(int row) Constructs and returns a new slice view representing the columns of the given row.WrapperDoubleMatrix1D.viewSelection
(int[] indexes) Constructs and returns a new selection view that is a matrix holding the indicated cells.protected DoubleMatrix1D
DenseDoubleMatrix1D.viewSelectionLike
(int[] offsets) Construct and returns a new selection view.protected DoubleMatrix1D
SelectedDenseDoubleMatrix1D.viewSelectionLike
(int[] offsets) Construct and returns a new selection view.protected DoubleMatrix1D
SelectedSparseDoubleMatrix1D.viewSelectionLike
(int[] offsets) Construct and returns a new selection view.protected DoubleMatrix1D
SparseDoubleMatrix1D.viewSelectionLike
(int[] offsets) Construct and returns a new selection view.protected DoubleMatrix1D
WrapperDoubleMatrix1D.viewSelectionLike
(int[] offsets) Construct and returns a new selection view.WrapperDoubleMatrix1D.viewStrides
(int _stride) Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.DenseDoubleMatrix2D.zMult
(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA) RCDoubleMatrix2D.zMult
(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA) SparseDoubleMatrix2D.zMult
(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA) TridiagonalDoubleMatrix2D.zMult
(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA) Methods in cern.colt.matrix.impl with parameters of type DoubleMatrix1DModifier and TypeMethodDescriptionDenseDoubleMatrix1D.assign
(DoubleMatrix1D source) Replaces all cell values of the receiver with the values of another matrix.DenseDoubleMatrix1D.assign
(DoubleMatrix1D y, DoubleDoubleFunction function) Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).protected boolean
DenseDoubleMatrix1D.haveSharedCellsRaw
(DoubleMatrix1D other) Returns true if both matrices share at least one identical cell.protected boolean
SelectedDenseDoubleMatrix1D.haveSharedCellsRaw
(DoubleMatrix1D other) Returns true if both matrices share at least one identical cell.protected boolean
SelectedSparseDoubleMatrix1D.haveSharedCellsRaw
(DoubleMatrix1D other) Returns true if both matrices share at least one identical cell.protected boolean
SparseDoubleMatrix1D.haveSharedCellsRaw
(DoubleMatrix1D other) Returns true if both matrices share at least one identical cell.void
DenseDoubleMatrix1D.swap
(DoubleMatrix1D other) Swaps each element this[i] with other[i].double
DenseDoubleMatrix1D.zDotProduct
(DoubleMatrix1D y, int from, int length) Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).DenseDoubleMatrix2D.zMult
(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA) RCDoubleMatrix2D.zMult
(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA) protected void
RCMDoubleMatrix2D.zMult
(DoubleMatrix1D y, DoubleMatrix1D z, IntArrayList nonZeroIndexes, DoubleMatrix1D[] allRows, double alpha, double beta) Linear algebraic matrix-vector multiplication; z = A * y.SparseDoubleMatrix2D.zMult
(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA) TridiagonalDoubleMatrix2D.zMult
(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA) Constructors in cern.colt.matrix.impl with parameters of type DoubleMatrix1D -
Uses of DoubleMatrix1D in cern.colt.matrix.linalg
Fields in cern.colt.matrix.linalg declared as DoubleMatrix1DModifier and TypeFieldDescriptionprivate DoubleMatrix1D
QRDecomposition.Rdiag
Array for internal storage of diagonal of R.Methods in cern.colt.matrix.linalg that return DoubleMatrix1DModifier and TypeMethodDescriptionEigenvalueDecomposition.getImagEigenvalues()
Returns the imaginary parts of the eigenvalues.EigenvalueDecomposition.getRealEigenvalues()
Returns the real parts of the eigenvalues.Algebra.mult
(DoubleMatrix2D A, DoubleMatrix1D y) Linear algebraic matrix-vector multiplication; z = A * y.Algebra.permute
(DoubleMatrix1D A, int[] indexes, double[] work) Modifies the given vector A such that it is permuted as specified; Useful for pivoting.Methods in cern.colt.matrix.linalg with parameters of type DoubleMatrix1DModifier and TypeMethodDescriptiondouble
Blas.dasum
(DoubleMatrix1D x) Returns the sum of absolute values; |x[0]| + |x[1]| + ...double
SeqBlas.dasum
(DoubleMatrix1D x) double
SmpBlas.dasum
(DoubleMatrix1D x) void
Blas.daxpy
(double alpha, DoubleMatrix1D x, DoubleMatrix1D y) Combined vector scaling; y = y + alpha*x.void
SeqBlas.daxpy
(double alpha, DoubleMatrix1D x, DoubleMatrix1D y) void
SmpBlas.daxpy
(double alpha, DoubleMatrix1D x, DoubleMatrix1D y) void
Blas.dcopy
(DoubleMatrix1D x, DoubleMatrix1D y) Vector assignment (copying); y = x.void
SeqBlas.dcopy
(DoubleMatrix1D x, DoubleMatrix1D y) void
SmpBlas.dcopy
(DoubleMatrix1D x, DoubleMatrix1D y) double
Blas.ddot
(DoubleMatrix1D x, DoubleMatrix1D y) Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).double
SeqBlas.ddot
(DoubleMatrix1D x, DoubleMatrix1D y) double
SmpBlas.ddot
(DoubleMatrix1D x, DoubleMatrix1D y) void
Blas.dgemv
(boolean transposeA, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y) Generalized linear algebraic matrix-vector multiply; y = alpha*A*x + beta*y.void
SeqBlas.dgemv
(boolean transposeA, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y) void
SmpBlas.dgemv
(boolean transposeA, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y) void
Blas.dger
(double alpha, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A) Performs a rank 1 update; A = A + alpha*x*y'.void
SeqBlas.dger
(double alpha, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A) void
SmpBlas.dger
(double alpha, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A) double
Blas.dnrm2
(DoubleMatrix1D x) Return the 2-norm; sqrt(x[0]^2 + x[1]^2 + ...).double
SeqBlas.dnrm2
(DoubleMatrix1D x) double
SmpBlas.dnrm2
(DoubleMatrix1D x) void
Blas.drot
(DoubleMatrix1D x, DoubleMatrix1D y, double c, double s) Applies a givens plane rotation to (x,y); x = c*x + s*y; y = c*y - s*x.void
SeqBlas.drot
(DoubleMatrix1D x, DoubleMatrix1D y, double c, double s) void
SmpBlas.drot
(DoubleMatrix1D x, DoubleMatrix1D y, double c, double s) void
Blas.dscal
(double alpha, DoubleMatrix1D x) Vector scaling; x = alpha*x.void
SeqBlas.dscal
(double alpha, DoubleMatrix1D x) void
SmpBlas.dscal
(double alpha, DoubleMatrix1D x) void
Blas.dswap
(DoubleMatrix1D x, DoubleMatrix1D y) Swaps the elements of two vectors; y invalid input: '<'==> x.void
SeqBlas.dswap
(DoubleMatrix1D x, DoubleMatrix1D y) void
SmpBlas.dswap
(DoubleMatrix1D x, DoubleMatrix1D y) void
Blas.dsymv
(boolean isUpperTriangular, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y) Symmetric matrix-vector multiplication; y = alpha*A*x + beta*y.void
SeqBlas.dsymv
(boolean isUpperTriangular, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y) void
SmpBlas.dsymv
(boolean isUpperTriangular, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y) void
Blas.dtrmv
(boolean isUpperTriangular, boolean transposeA, boolean isUnitTriangular, DoubleMatrix2D A, DoubleMatrix1D x) Triangular matrix-vector multiplication; x = A*x or x = A'*x.void
SeqBlas.dtrmv
(boolean isUpperTriangular, boolean transposeA, boolean isUnitTriangular, DoubleMatrix2D A, DoubleMatrix1D x) void
SmpBlas.dtrmv
(boolean isUpperTriangular, boolean transposeA, boolean isUnitTriangular, DoubleMatrix2D A, DoubleMatrix1D x) boolean
Property.equals
(DoubleMatrix1D A, double value) Returns whether all cells of the given matrix A are equal to the given value.boolean
Property.equals
(DoubleMatrix1D A, DoubleMatrix1D B) Returns whether both given matrices A and B are equal.int
Blas.idamax
(DoubleMatrix1D x) Returns the index of largest absolute value; i such that |x[i]| == max(|x[0]|,|x[1]|,...)..int
SeqBlas.idamax
(DoubleMatrix1D x) int
SmpBlas.idamax
(DoubleMatrix1D x) double
Algebra.mult
(DoubleMatrix1D x, DoubleMatrix1D y) Inner product of two vectors; Sum(x[i] * y[i]).Algebra.mult
(DoubleMatrix2D A, DoubleMatrix1D y) Linear algebraic matrix-vector multiplication; z = A * y.Algebra.multOuter
(DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A) Outer product of two vectors; Sets A[i,j] = x[i] * y[j].double
Algebra.norm1
(DoubleMatrix1D x) Returns the one-norm of vector x, which is Sum(abs(x[i])).double
Algebra.norm2
(DoubleMatrix1D x) Returns the two-norm (aka euclidean norm) of vector x; equivalent to mult(x,x).double
Algebra.normInfinity
(DoubleMatrix1D x) Returns the infinity norm of vector x, which is Max(abs(x[i])).Algebra.permute
(DoubleMatrix1D A, int[] indexes, double[] work) Modifies the given vector A such that it is permuted as specified; Useful for pivoting.void
LUDecompositionQuick.solve
(DoubleMatrix1D B) Solves the system of equations A*X = B (in-place).private DoubleMatrix2D
Algebra.xmultOuter
(DoubleMatrix1D x, DoubleMatrix1D y) Outer product of two vectors; Returns a matrix with A[i,j] = x[i] * y[j].