Colt 1.2.0

Uses of Class
cern.colt.matrix.DoubleMatrix1D

Packages that use DoubleMatrix1D
cern.colt.matrix 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
cern.colt.matrix.doublealgo Double matrix algorithms such as print formatting, sorting, partitioning and statistics. 
cern.colt.matrix.impl 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
cern.colt.matrix.linalg Linear Algebraic matrix computations operating on DoubleMatrix2D and DoubleMatrix1D
 

Uses of DoubleMatrix1D in cern.colt.matrix
 

Methods in cern.colt.matrix that return DoubleMatrix1D
 DoubleMatrix1D DoubleFactory1D.append(DoubleMatrix1D A, DoubleMatrix1D B)
          C = A||B; Constructs a new matrix which is the concatenation of two other matrices.
 DoubleMatrix1D DoubleFactory1D.ascending(int size)
          Constructs a matrix with cells having ascending values.
 DoubleMatrix1D DoubleMatrix1D.assign(double value)
          Sets all cells to the state specified by value.
 DoubleMatrix1D DoubleMatrix1D.assign(double[] values)
          Sets all cells to the state specified by values.
 DoubleMatrix1D DoubleMatrix1D.assign(DoubleFunction function)
          Assigns the result of a function to each cell; x[i] = function(x[i]).
 DoubleMatrix1D DoubleMatrix1D.assign(DoubleMatrix1D other)
          Replaces all cell values of the receiver with the values of another matrix.
 DoubleMatrix1D DoubleMatrix1D.assign(DoubleMatrix1D y, DoubleDoubleFunction function)
          Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).
 DoubleMatrix1D 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 DoubleMatrix1D.copy()
          Constructs and returns a deep copy of the receiver.
 DoubleMatrix1D DoubleFactory1D.descending(int size)
          Constructs a matrix with cells having descending values.
 DoubleMatrix1D DoubleFactory2D.diagonal(DoubleMatrix2D A)
          Constructs a new vector consisting of the diagonal elements of A.
 DoubleMatrix1D 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.
 DoubleMatrix1D DoubleFactory1D.make(AbstractDoubleList values)
          Constructs a matrix from the values of the given list.
 DoubleMatrix1D DoubleFactory1D.make(double[] values)
          Constructs a matrix with the given cell values.
 DoubleMatrix1D DoubleFactory1D.make(DoubleMatrix1D[] parts)
          Constructs a matrix which is the concatenation of all given parts.
 DoubleMatrix1D DoubleFactory1D.make(int size)
          Constructs a matrix with the given shape, each cell initialized with zero.
 DoubleMatrix1D DoubleFactory1D.make(int size, double initialValue)
          Constructs a matrix with the given shape, each cell initialized with the given value.
 DoubleMatrix1D DoubleFactory1D.random(int size)
          Constructs a matrix with uniformly distributed values in (0,1) (exclusive).
 DoubleMatrix1D DoubleFactory1D.repeat(DoubleMatrix1D A, int repeat)
          C = A||A||..||A; Constructs a new matrix which is concatenated repeat times.
 DoubleMatrix1D DoubleFactory1D.sample(int size, double value, double nonZeroFraction)
          Constructs a randomly sampled matrix with the given shape.
 DoubleMatrix1D DoubleMatrix2D.viewColumn(int column)
          Constructs and returns a new slice view representing the rows of the given column.
 DoubleMatrix1D DoubleMatrix1D.viewFlip()
          Constructs and returns a new flip view.
 DoubleMatrix1D DoubleMatrix1D.viewPart(int index, int width)
          Constructs and returns a new sub-range view that is a width sub matrix starting at index.
 DoubleMatrix1D DoubleMatrix2D.viewRow(int row)
          Constructs and returns a new slice view representing the columns of the given row.
 DoubleMatrix1D DoubleMatrix1D.viewSelection(DoubleProcedure condition)
          Constructs and returns a new selection view that is a matrix holding the cells matching the given condition.
 DoubleMatrix1D DoubleMatrix1D.viewSelection(int[] indexes)
          Constructs and returns a new selection view that is a matrix holding the indicated cells.
 DoubleMatrix1D DoubleMatrix1D.viewSorted()
          Sorts the vector into ascending order, according to the natural ordering.
 DoubleMatrix1D DoubleMatrix1D.viewStrides(int stride)
          Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.
 DoubleMatrix1D DoubleMatrix2D.zMult(DoubleMatrix1D y, DoubleMatrix1D z)
          Linear algebraic matrix-vector multiplication; z = A * y; Equivalent to return A.zMult(y,z,1,0);
 DoubleMatrix1D 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 DoubleMatrix1D
 double DoubleMatrix1D.aggregate(DoubleMatrix1D other, DoubleDoubleFunction aggr, DoubleDoubleFunction f)
          Applies a function to each corresponding cell of two matrices and aggregates the results.
 DoubleMatrix1D 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 DoubleMatrix1D.assign(DoubleMatrix1D other)
          Replaces all cell values of the receiver with the values of another matrix.
 DoubleMatrix1D DoubleMatrix1D.assign(DoubleMatrix1D y, DoubleDoubleFunction function)
          Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).
 DoubleMatrix1D DoubleMatrix1D.assign(DoubleMatrix1D y, DoubleDoubleFunction function, IntArrayList nonZeroIndexes)
          Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).
 DoubleMatrix2D DoubleFactory2D.diagonal(DoubleMatrix1D vector)
          Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
 DoubleMatrix1D DoubleFactory1D.make(DoubleMatrix1D[] parts)
          Constructs a matrix which is the concatenation of all given parts.
 DoubleMatrix1D 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].
 DoubleArrayList 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]).
 DoubleMatrix1D DoubleMatrix2D.zMult(DoubleMatrix1D y, DoubleMatrix1D z)
          Linear algebraic matrix-vector multiplication; z = A * y; Equivalent to return A.zMult(y,z,1,0);
 DoubleMatrix1D 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 DoubleMatrix1D
static DoubleMatrix1D Transform.abs(DoubleMatrix1D A)
          Deprecated. A[i] = Math.abs(A[i]).
static DoubleMatrix1D Transform.div(DoubleMatrix1D A, double s)
          Deprecated. A = A / s <=> A[i] = A[i] / s.
static DoubleMatrix1D Transform.div(DoubleMatrix1D A, DoubleMatrix1D B)
          Deprecated. A = A / B <=> A[i] = A[i] / B[i].
static DoubleMatrix1D Transform.minus(DoubleMatrix1D A, double s)
          Deprecated. A = A - s <=> A[i] = A[i] - s.
static DoubleMatrix1D Transform.minus(DoubleMatrix1D A, DoubleMatrix1D B)
          Deprecated. A = A - B <=> A[i] = A[i] - B[i].
static DoubleMatrix1D Transform.minusMult(DoubleMatrix1D A, DoubleMatrix1D B, double s)
          Deprecated. A = A - B*s <=> A[i] = A[i] - B[i]*s.
static DoubleMatrix1D Transform.mult(DoubleMatrix1D A, double s)
          Deprecated. A = A * s <=> A[i] = A[i] * s.
static DoubleMatrix1D Transform.mult(DoubleMatrix1D A, DoubleMatrix1D B)
          Deprecated. A = A * B <=> A[i] = A[i] * B[i].
static DoubleMatrix1D Transform.negate(DoubleMatrix1D A)
          Deprecated. A = -A <=> A[i] = -A[i] for all cells.
static DoubleMatrix1D Transform.plus(DoubleMatrix1D A, double s)
          Deprecated. A = A + s <=> A[i] = A[i] + s.
static DoubleMatrix1D Transform.plus(DoubleMatrix1D A, DoubleMatrix1D B)
          Deprecated. A = A + B <=> A[i] = A[i] + B[i].
static DoubleMatrix1D Transform.plusMult(DoubleMatrix1D A, DoubleMatrix1D B, double s)
          Deprecated. A = A + B*s<=> A[i] = A[i] + B[i]*s.
static DoubleMatrix1D Transform.pow(DoubleMatrix1D A, double s)
          Deprecated. A = As <=> A[i] = Math.pow(A[i], s).
static DoubleMatrix1D Transform.pow(DoubleMatrix1D A, DoubleMatrix1D B)
          Deprecated. A = AB <=> A[i] = Math.pow(A[i], B[i]).
 DoubleMatrix1D Sorting.sort(DoubleMatrix1D vector)
          Sorts the vector into ascending order, according to the natural ordering.
 DoubleMatrix1D 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 DoubleMatrix1D
static 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 <=> A[i] = A[i] / s.
static DoubleMatrix1D Transform.div(DoubleMatrix1D A, DoubleMatrix1D B)
          Deprecated. A = A / B <=> A[i] = A[i] / B[i].
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 <=> A[i] = A[i] - s.
static DoubleMatrix1D Transform.minus(DoubleMatrix1D A, DoubleMatrix1D B)
          Deprecated. A = A - B <=> A[i] = A[i] - B[i].
static DoubleMatrix1D Transform.minusMult(DoubleMatrix1D A, DoubleMatrix1D B, double s)
          Deprecated. A = A - B*s <=> A[i] = A[i] - B[i]*s.
static DoubleMatrix1D Transform.mult(DoubleMatrix1D A, double s)
          Deprecated. A = A * s <=> A[i] = A[i] * s.
static DoubleMatrix1D Transform.mult(DoubleMatrix1D A, DoubleMatrix1D B)
          Deprecated. A = A * B <=> A[i] = A[i] * B[i].
static DoubleMatrix1D Transform.negate(DoubleMatrix1D A)
          Deprecated. A = -A <=> A[i] = -A[i] for all cells.
static DoubleMatrix1D Transform.plus(DoubleMatrix1D A, double s)
          Deprecated. A = A + s <=> A[i] = A[i] + s.
static DoubleMatrix1D Transform.plus(DoubleMatrix1D A, DoubleMatrix1D B)
          Deprecated. A = A + B <=> A[i] = A[i] + B[i].
static DoubleMatrix1D Transform.plusMult(DoubleMatrix1D A, DoubleMatrix1D B, double s)
          Deprecated. A = A + B*s<=> A[i] = A[i] + B[i]*s.
static DoubleMatrix1D Transform.pow(DoubleMatrix1D A, double s)
          Deprecated. A = As <=> A[i] = Math.pow(A[i], s).
static DoubleMatrix1D Transform.pow(DoubleMatrix1D A, DoubleMatrix1D B)
          Deprecated. A = AB <=> A[i] = Math.pow(A[i], B[i]).
 DoubleMatrix1D Sorting.sort(DoubleMatrix1D vector)
          Sorts the vector into ascending order, according to the natural ordering.
 DoubleMatrix1D Sorting.sort(DoubleMatrix1D vector, DoubleComparator c)
          Sorts the vector into ascending order, according to the order induced by the specified comparator.
 String Formatter.toSourceCode(DoubleMatrix1D matrix)
          Returns a string s such that Object[] m = s is a legal Java statement.
 String 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).
 

Uses of DoubleMatrix1D in cern.colt.matrix.impl
 

Subclasses of DoubleMatrix1D in cern.colt.matrix.impl
 class DenseDoubleMatrix1D
          Dense 1-d matrix (aka vector) holding double elements.
 class SparseDoubleMatrix1D
          Sparse hashed 1-d matrix (aka vector) holding double elements.
 

Methods in cern.colt.matrix.impl that return DoubleMatrix1D
 DoubleMatrix1D DenseDoubleMatrix1D.assign(double value)
          Sets all cells to the state specified by value.
 DoubleMatrix1D SparseDoubleMatrix1D.assign(double value)
          Sets all cells to the state specified by value.
 DoubleMatrix1D DenseDoubleMatrix1D.assign(double[] values)
          Sets all cells to the state specified by values.
 DoubleMatrix1D DenseDoubleMatrix1D.assign(DoubleFunction function)
          Assigns the result of a function to each cell; x[i] = function(x[i]).
 DoubleMatrix1D DenseDoubleMatrix1D.assign(DoubleMatrix1D source)
          Replaces all cell values of the receiver with the values of another matrix.
 DoubleMatrix1D DenseDoubleMatrix1D.assign(DoubleMatrix1D y, DoubleDoubleFunction function)
          Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).
 DoubleMatrix1D DenseDoubleMatrix1D.like(int size)
          Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.
 DoubleMatrix1D SparseDoubleMatrix1D.like(int size)
          Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.
 DoubleMatrix1D DenseDoubleMatrix2D.like1D(int size)
          Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
 DoubleMatrix1D SparseDoubleMatrix2D.like1D(int size)
          Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
 DoubleMatrix1D RCDoubleMatrix2D.like1D(int size)
          Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
 DoubleMatrix1D DenseDoubleMatrix2D.zMult(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA)
           
 DoubleMatrix1D SparseDoubleMatrix2D.zMult(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA)
           
 DoubleMatrix1D RCDoubleMatrix2D.zMult(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA)
           
 

Methods in cern.colt.matrix.impl with parameters of type DoubleMatrix1D
 DoubleMatrix1D DenseDoubleMatrix1D.assign(DoubleMatrix1D source)
          Replaces all cell values of the receiver with the values of another matrix.
 DoubleMatrix1D DenseDoubleMatrix1D.assign(DoubleMatrix1D y, DoubleDoubleFunction function)
          Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).
 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]).
 DoubleMatrix1D DenseDoubleMatrix2D.zMult(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA)
           
 DoubleMatrix1D SparseDoubleMatrix2D.zMult(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA)
           
 DoubleMatrix1D RCDoubleMatrix2D.zMult(DoubleMatrix1D y, DoubleMatrix1D z, double alpha, double beta, boolean transposeA)
           
 

Uses of DoubleMatrix1D in cern.colt.matrix.linalg
 

Methods in cern.colt.matrix.linalg that return DoubleMatrix1D
 DoubleMatrix1D EigenvalueDecomposition.getImagEigenvalues()
          Returns the imaginary parts of the eigenvalues.
 DoubleMatrix1D EigenvalueDecomposition.getRealEigenvalues()
          Returns the real parts of the eigenvalues.
 DoubleMatrix1D Algebra.mult(DoubleMatrix2D A, DoubleMatrix1D y)
          Linear algebraic matrix-vector multiplication; z = A * y.
 DoubleMatrix1D 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 DoubleMatrix1D
 double SmpBlas.dasum(DoubleMatrix1D x)
           
 double SeqBlas.dasum(DoubleMatrix1D x)
           
 double Blas.dasum(DoubleMatrix1D x)
          Returns the sum of absolute values; |x[0]| + |x[1]| + ...
 void SmpBlas.daxpy(double alpha, DoubleMatrix1D x, DoubleMatrix1D y)
           
 void SeqBlas.daxpy(double alpha, DoubleMatrix1D x, DoubleMatrix1D y)
           
 void Blas.daxpy(double alpha, DoubleMatrix1D x, DoubleMatrix1D y)
          Combined vector scaling; y = y + alpha*x.
 void SmpBlas.dcopy(DoubleMatrix1D x, DoubleMatrix1D y)
           
 void SeqBlas.dcopy(DoubleMatrix1D x, DoubleMatrix1D y)
           
 void Blas.dcopy(DoubleMatrix1D x, DoubleMatrix1D y)
          Vector assignment (copying); y = x.
 double SmpBlas.ddot(DoubleMatrix1D x, DoubleMatrix1D y)
           
 double SeqBlas.ddot(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]).
 void SmpBlas.dgemv(boolean transposeA, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y)
           
 void SeqBlas.dgemv(boolean transposeA, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, 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 SmpBlas.dger(double alpha, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A)
           
 void SeqBlas.dger(double alpha, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A)
           
 void Blas.dger(double alpha, DoubleMatrix1D x, DoubleMatrix1D y, DoubleMatrix2D A)
          Performs a rank 1 update; A = A + alpha*x*y'.
 double SmpBlas.dnrm2(DoubleMatrix1D x)
           
 double SeqBlas.dnrm2(DoubleMatrix1D x)
           
 double Blas.dnrm2(DoubleMatrix1D x)
          Return the 2-norm; sqrt(x[0]^2 + x[1]^2 + ...).
 void SmpBlas.drot(DoubleMatrix1D x, DoubleMatrix1D y, double c, double s)
           
 void SeqBlas.drot(DoubleMatrix1D x, DoubleMatrix1D y, double c, double s)
           
 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 SmpBlas.dscal(double alpha, DoubleMatrix1D x)
           
 void SeqBlas.dscal(double alpha, DoubleMatrix1D x)
           
 void Blas.dscal(double alpha, DoubleMatrix1D x)
          Vector scaling; x = alpha*x.
 void SmpBlas.dswap(DoubleMatrix1D x, DoubleMatrix1D y)
           
 void SeqBlas.dswap(DoubleMatrix1D x, DoubleMatrix1D y)
           
 void Blas.dswap(DoubleMatrix1D x, DoubleMatrix1D y)
          Swaps the elements of two vectors; y <==> x.
 void SmpBlas.dsymv(boolean isUpperTriangular, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, DoubleMatrix1D y)
           
 void SeqBlas.dsymv(boolean isUpperTriangular, double alpha, DoubleMatrix2D A, DoubleMatrix1D x, double beta, 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 SmpBlas.dtrmv(boolean isUpperTriangular, boolean transposeA, boolean isUnitTriangular, DoubleMatrix2D A, DoubleMatrix1D x)
           
 void SeqBlas.dtrmv(boolean isUpperTriangular, boolean transposeA, boolean isUnitTriangular, DoubleMatrix2D A, DoubleMatrix1D x)
           
 void Blas.dtrmv(boolean isUpperTriangular, boolean transposeA, boolean isUnitTriangular, DoubleMatrix2D A, DoubleMatrix1D x)
          Triangular matrix-vector multiplication; x = A*x or x = A'*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 SmpBlas.idamax(DoubleMatrix1D x)
           
 int SeqBlas.idamax(DoubleMatrix1D x)
           
 int Blas.idamax(DoubleMatrix1D x)
          Returns the index of largest absolute value; i such that |x[i]| == max(|x[0]|,|x[1]|,...)..
 double Algebra.mult(DoubleMatrix1D x, DoubleMatrix1D y)
          Inner product of two vectors; Sum(x[i] * y[i]).
 DoubleMatrix1D Algebra.mult(DoubleMatrix2D A, DoubleMatrix1D y)
          Linear algebraic matrix-vector multiplication; z = A * y.
 DoubleMatrix2D 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])).
 DoubleMatrix1D 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).
 


Colt 1.2.0

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