- h_Planck - Static variable in class cern.clhep.PhysicalConstants
-
- halfpi - Static variable in class cern.clhep.PhysicalConstants
-
- harmonicMean(int, double) - Static method in class cern.jet.stat.tdouble.DoubleDescriptive
-
Returns the harmonic mean of a data sequence.
- harmonicMean(int, float) - Static method in class cern.jet.stat.tfloat.FloatDescriptive
-
Returns the harmonic mean of a data sequence.
- harmonicMean() - Method in class hep.aida.tdouble.bin.MightyStaticDoubleBin1D
-
Returns the harmonic mean, which is size() / Sum( 1/x[i] ).
- harmonicMean() - Method in class hep.aida.tfloat.bin.MightyStaticFloatBin1D
-
Returns the harmonic mean, which is size() / Sum( 1/x[i] ).
- hasColumnIndexesSorted() - Method in class cern.colt.matrix.tdouble.impl.SparseRCDoubleMatrix2D
-
Returns true if column indexes are sorted, false otherwise
- hasColumnIndexesSorted() - Method in class cern.colt.matrix.tfloat.impl.SparseRCFloatMatrix2D
-
Returns true if column indexes are sorted, false otherwise
- hasColumnIndexesSorted() - Method in class cern.colt.matrix.tint.impl.SparseRCIntMatrix2D
-
Returns true if column indexes are sorted, false otherwise
- hasColumnIndexesSorted() - Method in class cern.colt.matrix.tlong.impl.SparseRCLongMatrix2D
-
Returns true if column indexes are sorted, false otherwise
- hasColumnIndexesSorted() - Method in class cern.colt.matrix.tobject.impl.SparseRCObjectMatrix2D
-
Returns true if column indexes are sorted, false otherwise
- hasFullRank() - Method in class cern.colt.matrix.tdcomplex.algo.decomposition.SparseDComplexQRDecomposition
-
Returns whether the matrix A has full rank.
- hasFullRank() - Method in class cern.colt.matrix.tdouble.algo.decomposition.DenseDoubleQRDecomposition
-
Returns whether the matrix A has full rank.
- hasFullRank() - Method in class cern.colt.matrix.tdouble.algo.decomposition.SparseDoubleQRDecomposition
-
Returns whether the matrix A has full rank.
- hasFullRank() - Method in class cern.colt.matrix.tfloat.algo.decomposition.DenseFloatQRDecomposition
-
Returns whether the matrix A has full rank.
- hasFullRank() - Method in class cern.colt.matrix.tfloat.algo.decomposition.SparseFloatQRDecomposition
-
Returns whether the matrix A has full rank.
- hash(char) - Static method in class cern.colt.map.HashFunctions
-
Returns a hashcode for the specified value.
- hash(double) - Static method in class cern.colt.map.HashFunctions
-
Returns a hashcode for the specified value.
- hash(float) - Static method in class cern.colt.map.HashFunctions
-
Returns a hashcode for the specified value.
- hash(int) - Static method in class cern.colt.map.HashFunctions
-
Returns a hashcode for the specified value.
- hash(long) - Static method in class cern.colt.map.HashFunctions
-
Returns a hashcode for the specified value.
- hash(Object) - Static method in class cern.colt.map.HashFunctions
-
Returns a hashcode for the specified object.
- hash(short) - Static method in class cern.colt.map.HashFunctions
-
Returns a hashcode for the specified value.
- hash(boolean) - Static method in class cern.colt.map.HashFunctions
-
Returns a hashcode for the specified value.
- hash(byte) - Static method in class cern.colt.map.HashFunctions
-
Returns a hashcode for the specified value.
- hashCode() - Method in class cern.colt.matrix.tbit.BitMatrix
-
Returns a hash code value for the receiver.
- hashCode() - Method in class cern.colt.matrix.tbit.BitVector
-
Returns a hash code value for the receiver.
- HashFunctions - Class in cern.colt.map
-
Provides various hash functions.
- hasInfo() - Method in class cern.colt.matrix.io.MatrixVectorReader
-
Checks if a Matrix Market header is present ("%%MatrixMarket")
- hasRowIndexesSorted() - Method in class cern.colt.matrix.tdouble.impl.SparseCCDoubleMatrix2D
-
Returns true if row indexes are sorted, false otherwise
- hasRowIndexesSorted() - Method in class cern.colt.matrix.tfloat.impl.SparseCCFloatMatrix2D
-
Returns true if row indexes are sorted, false otherwise
- hasRowIndexesSorted() - Method in class cern.colt.matrix.tint.impl.SparseCCIntMatrix2D
-
Returns true if row indexes are sorted, false otherwise
- hasRowIndexesSorted() - Method in class cern.colt.matrix.tlong.impl.SparseCCLongMatrix2D
-
Returns true if row indexes are sorted, false otherwise
- hasRowIndexesSorted() - Method in class cern.colt.matrix.tobject.impl.SparseCCObjectMatrix2D
-
Returns true if row indexes are sorted, false otherwise
- hasSumOfInversions() - Method in class hep.aida.tdouble.bin.MightyStaticDoubleBin1D
-
Returns whether sumOfInversions() can return meaningful results.
- hasSumOfInversions() - Method in class hep.aida.tfloat.bin.MightyStaticFloatBin1D
-
Returns whether sumOfInversions() can return meaningful results.
- hasSumOfLogarithms() - Method in class hep.aida.tdouble.bin.MightyStaticDoubleBin1D
-
Tells whether sumOfLogarithms() can return meaningful results.
- hasSumOfLogarithms() - Method in class hep.aida.tfloat.bin.MightyStaticFloatBin1D
-
Tells whether sumOfLogarithms() can return meaningful results.
- hasSumOfPowers(int) - Method in class hep.aida.tdouble.bin.MightyStaticDoubleBin1D
-
Tells whether sumOfPowers(k) can return meaningful results.
- hasSumOfPowers(int) - Method in class hep.aida.tfloat.bin.MightyStaticFloatBin1D
-
Tells whether sumOfPowers(k) can return meaningful results.
- hbar_Planck - Static variable in class cern.clhep.PhysicalConstants
-
- hbarc - Static variable in class cern.clhep.PhysicalConstants
-
- hbarc_squared - Static variable in class cern.clhep.PhysicalConstants
-
- henry - Static variable in class cern.clhep.Units
-
- hep.aida.tdouble - package hep.aida.tdouble
-
Interfaces for compact, extensible, modular and performant histogramming functionality.
- hep.aida.tdouble.bin - package hep.aida.tdouble.bin
-
Multisets (bags) with efficient statistics operations defined upon; This package
requires the Colt distribution.
- hep.aida.tdouble.ref - package hep.aida.tdouble.ref
-
Reference implementation of the AIDA histogram
interfaces.
- hep.aida.tfloat - package hep.aida.tfloat
-
Interfaces for compact, extensible, modular and performant histogramming functionality.
- hep.aida.tfloat.bin - package hep.aida.tfloat.bin
-
Multisets (bags) with efficient statistics operations defined upon; This package
requires the Colt distribution.
- hep.aida.tfloat.ref - package hep.aida.tfloat.ref
-
Reference implementation of the AIDA histogram
interfaces.
- hep_pascal - Static variable in class cern.clhep.Units
-
- hertz - Static variable in class cern.clhep.Units
-
- histogram(DoubleIHistogram1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic
-
Fills all cells of the given vector into the given histogram.
- histogram(DoubleIHistogram1D, DoubleMatrix2D) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic
-
Fills all cells of the given matrix into the given histogram.
- histogram(DoubleIHistogram1D[][], DoubleMatrix2D, int, int) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic
-
Splits the given matrix into m x n pieces and computes 1D histogram of
each piece.
- histogram(DoubleIHistogram2D, DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic
-
Fills all cells of the given vectors into the given histogram.
- histogram(DoubleIHistogram2D, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic
-
Fills all cells of the given vectors into the given histogram.
- histogram(DoubleIHistogram3D, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.tdouble.algo.DoubleStatistic
-
Fills all cells of the given vectors into the given histogram.
- histogram(FloatIHistogram1D, FloatMatrix1D) - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic
-
Fills all cells of the given vector into the given histogram.
- histogram(FloatIHistogram1D, FloatMatrix2D) - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic
-
Fills all cells of the given matrix into the given histogram.
- histogram(FloatIHistogram1D[][], FloatMatrix2D, int, int) - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic
-
Splits the given matrix into m x n pieces and computes 1D histogram of
each piece.
- histogram(FloatIHistogram2D, FloatMatrix1D, FloatMatrix1D) - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic
-
Fills all cells of the given vectors into the given histogram.
- histogram(FloatIHistogram2D, FloatMatrix1D, FloatMatrix1D, FloatMatrix1D) - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic
-
Fills all cells of the given vectors into the given histogram.
- histogram(FloatIHistogram3D, FloatMatrix1D, FloatMatrix1D, FloatMatrix1D, FloatMatrix1D) - Static method in class cern.colt.matrix.tfloat.algo.FloatStatistic
-
Fills all cells of the given vectors into the given histogram.
- HyBRDoubleIterationMonitor - Class in cern.colt.matrix.tdouble.algo.solver
-
- HyBRDoubleIterationMonitor() - Constructor for class cern.colt.matrix.tdouble.algo.solver.HyBRDoubleIterationMonitor
-
Constructor for HyBRDoubleIterationMonitor.
- HyBRDoubleIterationMonitor(int, double) - Constructor for class cern.colt.matrix.tdouble.algo.solver.HyBRDoubleIterationMonitor
-
Constructor for HyBRDoubleIterationMonitor
- HyBRFloatIterationMonitor - Class in cern.colt.matrix.tfloat.algo.solver
-
- HyBRFloatIterationMonitor() - Constructor for class cern.colt.matrix.tfloat.algo.solver.HyBRFloatIterationMonitor
-
Constructor for HyBRFloatIterationMonitor.
- HyBRFloatIterationMonitor(int, float) - Constructor for class cern.colt.matrix.tfloat.algo.solver.HyBRFloatIterationMonitor
-
Constructor for HyBRFloatIterationMonitor
- HyBRInnerSolver - Enum in cern.colt.matrix.tdouble.algo.solver
-
- HyBRRegularizationMethod - Enum in cern.colt.matrix.tdouble.algo.solver
-
- Hyperbolic - Class in cern.jet.random.tdouble
-
Hyperbolic distribution.
- Hyperbolic(double, double, DoubleRandomEngine) - Constructor for class cern.jet.random.tdouble.Hyperbolic
-
Constructs a Beta distribution.
- HyperGeometric - Class in cern.jet.random.tdouble
-
HyperGeometric distribution; See the
math definition
The hypergeometric distribution with parameters
N,
n and
s is the probability distribution of the random variable X, whose
value is the number of successes in a sample of
n items from a
population of size
N that has
s 'success' items and
N - s 'failure' items.
- HyperGeometric(int, int, int, DoubleRandomEngine) - Constructor for class cern.jet.random.tdouble.HyperGeometric
-
Constructs a HyperGeometric distribution.
- hypot(double, double) - Static method in class cern.colt.matrix.tdouble.algo.DenseDoubleAlgebra
-
Returns sqrt(a^2 + b^2) without under/overflow.
- hypot(float, float) - Static method in class cern.colt.matrix.tfloat.algo.DenseFloatAlgebra
-
Returns sqrt(a^2 + b^2) without under/overflow.
- hypotFunction() - Static method in class cern.colt.matrix.tdouble.algo.DenseDoubleAlgebra
-
Returns sqrt(a^2 + b^2) without under/overflow.
- hypotFunction() - Static method in class cern.colt.matrix.tfloat.algo.DenseFloatAlgebra
-
Returns sqrt(a^2 + b^2) without under/overflow.