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RandomGenerator interface.StorelessUnivariateStatistic interface.UnivariateStatistic interface.m.
m.
data.
double[]
arrays.
double[]
arrays.
double[]
arrays.
double[]
arrays.
BigMatrix using a BigDecimal[][] array to store entries
and
LU decompostion to support linear system
solution and inverse.data as the underlying
data array.
data as the underlying
data array.
data as the underlying data array.
v as the
data for the unique column of the v.length x 1 matrix
created.
n choose k", the number of
k-element subsets that can be selected from an
n-element set.
double representation of the Binomial
Coefficient, "n choose k", the number of
k-element subsets that can be selected from an
n-element set.
log of the Binomial
Coefficient, "n choose k", the number of
k-element subsets that can be selected from an
n-element set.
BinomialDistribution. lowerBound <= a < initial < b <= upperBound
f(a) * f(b) < 0
If f is continuous on [a,b], this means that a
and b bracket a root of f.
lowerBound <= a < initial < b <= upperBound
f(a) * f(b) < 0
If f is continuous on [a,b], this means that a
and b bracket a root of f.
CauchyDistribution.observed and expected
frequency counts.
counts
array, viewed as a two-way table.
observed and expected
frequency counts.
observed1 and observed2.
ChiSquaredDistributionobserved
frequency counts to those in the expected array.
alpha.
counts
array, viewed as a two-way table.
alpha.
observed
frequency counts to those in the expected array.
alpha.
observed1 and
observed2.
UnknownDistributionChiSquareTest interface.AbstractRandomGenerator.nextGaussian().
valuesFileURL after use in REPLAY_MODE.
Complex-valued functions.valuesFileURL, using the default number of bins.
valuesFileURL and binCount bins.
direct search method has converged.ConvergenceException.ConvergenceException(String, Object[], Throwable)
ConvergenceException.ConvergenceException(String, Object[])
RandomVectorGenerator that generates vectors with with
correlated components.MathException with specified
formatted detail message.
MathException with specified
nested Throwable root cause.
Random using the supplied
RandomGenerator.
dimension x dimension identity matrix.
BigMatrix whose entries are the the values in the
the input array.
BigMatrix whose entries are the the values in the
the input array.
BigMatrix whose entries are the the values in the
the input array.
BigMatrix using the data from the input
array.
BigMatrix using the data from the input
array.
BigMatrix using the data from the input
array.
RealMatrix using the data from the input
array.
dimension x dimension identity matrix.
RealMatrix whose entries are the the values in the
the input array.
BigMatrix using the data from the input
array.
BigMatrix using the data from the input
array.
BigMatrix using the data from the input
array.
RealMatrix using the data from the input
array.
x).