SuanShu, a Java numerical and statistical library
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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 yj, 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 yj.
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 y0, 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, y0.
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.

SuanShu, a Java numerical and statistical library
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Copyright © 2012 Numerical Method Inc. Ltd. All Rights Reserved.