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Y
y()
- Method in class com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.
BivariateArrayGrid
y(int)
- Method in class com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.
BivariateArrayGrid
y(int)
- Method in interface com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.
BivariateGrid
Get the value of
y
j
, the j-th value of the independent variable
y
.
y()
- Method in interface com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.
BivariateGrid
Get the values of the independent variable
y
j
.
y()
- Method in class com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.
BivariateRegularGrid
y(int)
- Method in class com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.
BivariateRegularGrid
y(int...)
- Method in class com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate.
MultivariateArrayGrid
y(int...)
- Method in interface com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate.
MultivariateGrid
Get the value of the dependent variable
y
at the given indices in the grid.
y(int...)
- Method in class com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate.
MultivariateRegularGrid
y()
- Method in class com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.solver.
ODESolution
Get the corresponding values of the dependent variable.
y(int)
- Method in interface com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.
PDESolutionGrid2D
Get the value on the y-axis at index
j
.
y(int)
- Method in interface com.numericalmethod.suanshu.analysis.differentialequation.pde.finitedifference.
PDESolutionTimeSpaceGrid2D
Get the value on the y-axis at index
j
.
y()
- Method in class com.numericalmethod.suanshu.analysis.function.rn2r1.univariate.
StepFunction
y()
- Method in interface com.numericalmethod.suanshu.analysis.function.tuple.
OrderedPairs
Get the ordinates.
y()
- Method in class com.numericalmethod.suanshu.analysis.function.tuple.
Pair
y
y()
- Method in class com.numericalmethod.suanshu.analysis.function.tuple.
PartialFunction
y()
- Method in class com.numericalmethod.suanshu.analysis.function.tuple.
SortedOrderedPairs
y()
- Method in class com.numericalmethod.suanshu.analysis.function.tuple.
Triple
Return the value of the second element of the triple.
y
- Variable in class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.pathfollowing.
CentralPath
This is the maximizer for the dual problem.
y
- Variable in class com.numericalmethod.suanshu.optimization.constrained.convex.sdp.socp.interiorpoint.
PrimalDualSolution
This is the maximizer for the dual problem.
y()
- Method in class com.numericalmethod.suanshu.stats.regression.lasso.
ConstrainedLASSOProblem
Get the vector of response variable.
y()
- Method in class com.numericalmethod.suanshu.stats.regression.lasso.lars.
LeastAngleRegressionProblem
Get the original vector of response variable.
y()
- Method in class com.numericalmethod.suanshu.stats.regression.lasso.
UnconstrainedLASSOProblem
Get the vector of response variable.
y()
- Method in class com.numericalmethod.suanshu.stats.regression.linear.
LMProblem
Get the response vector, the regressands, the dependent variables.
y(int)
- Method in class com.numericalmethod.suanshu.stats.timeseries.linear.univariate.arima.
ARIMAForecastMultiStep
Get the stationary arma series.
y0()
- Method in class com.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariate.
BivariateRegularGrid
Get the value of
y
0
, the first value of the independent variable
y
.
y0(int)
- Method in class com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.problem.
ODE
Get the initial value for the
n
-th order (derivative).
y0()
- Method in class com.numericalmethod.suanshu.analysis.differentialequation.ode.ivp.problem.
ODE1stOrder
Get the initial value of
y
, that is,
y
0
.
yes(double)
- Method in interface com.numericalmethod.suanshu.misc.
R.ifelse
Return value for a
true
element of test.
yLARS()
- Method in class com.numericalmethod.suanshu.stats.regression.lasso.lars.
LeastAngleRegressionProblem
Get the vector of response variable (possibly demeaned) to be used in LARS.
yMean()
- Method in class com.numericalmethod.suanshu.stats.regression.lasso.lars.
LeastAngleRegressionProblem
Get the mean to be subtracted from the response variable (0 if no intercept is included).
yt(int, Vector)
- Method in class com.numericalmethod.suanshu.stats.dlm.multivariate.
MultivariateObservationEquation
Evaluate the observation equation.
yt(int, double)
- Method in class com.numericalmethod.suanshu.stats.dlm.univariate.
ObservationEquation
Evaluate the observation equation.
yt_mean(int, Vector)
- Method in class com.numericalmethod.suanshu.stats.dlm.multivariate.
MultivariateObservationEquation
Predict the next observation.
yt_mean(int, double)
- Method in class com.numericalmethod.suanshu.stats.dlm.univariate.
ObservationEquation
Predict the next observation.
yt_var(int, Matrix)
- Method in class com.numericalmethod.suanshu.stats.dlm.multivariate.
MultivariateObservationEquation
Get the covariance of the apriori prediction for the next observation.
yt_var(int, double)
- Method in class com.numericalmethod.suanshu.stats.dlm.univariate.
ObservationEquation
Get the variance of the apriori prediction for the next observation.
Overview
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SuanShu, a Java numerical and statistical library
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