
| Correlation(DoubleMatrix, DataOperation) | Returns the correlations among the rows or the columns of the specified data. | 
| Correlation(ReadOnlyDoubleMatrix, DataOperation) | Returns the correlations among the rows or the columns of the specified data. | 
| Covariance(DoubleMatrix, Boolean, DataOperation) | Returns the covariances among the rows or the columns of the specified data, eventually adjusted for bias. | 
| Covariance(ReadOnlyDoubleMatrix, Boolean, DataOperation) | Returns the covariances among the rows or the columns of the specified data, eventually adjusted for bias. | 
| Kurtosis(DoubleMatrix, Boolean) | Returns the kurtosis of the specified data, eventually adjusted for bias. | 
| Kurtosis(ReadOnlyDoubleMatrix, Boolean) | Returns the kurtosis of the specified data, eventually adjusted for bias. | 
| Kurtosis(DoubleMatrix, Boolean, DataOperation) | Returns the kurtosis of each row or column in the specified data, eventually adjusted for bias. | 
| Kurtosis(ReadOnlyDoubleMatrix, Boolean, DataOperation) | Returns the kurtosis of each row or column in the specified data, eventually adjusted for bias. | 
| Max(DoubleMatrix) | Returns the maximum value and the linear index of its first occurrence in the specified data. | 
| Max(ReadOnlyDoubleMatrix) | Returns the maximum value and the linear index of its first occurrence in the specified data. | 
| Max(DoubleMatrix, DataOperation) | Returns the largest entries in rows or columns of the specified data. | 
| Max(ReadOnlyDoubleMatrix, DataOperation) | Returns the largest entries in rows or columns of the specified data. | 
| Mean(DoubleMatrix) | Returns the arithmetic mean of the specified data. | 
| Mean(ReadOnlyDoubleMatrix) | Returns the arithmetic mean of the specified data. | 
| Mean(DoubleMatrix, DataOperation) | Returns the arithmetic mean of each row or column in the specified data. | 
| Mean(ReadOnlyDoubleMatrix, DataOperation) | Returns the arithmetic mean of each row or column in the specified data. | 
| Min(DoubleMatrix) | Returns the minimum value and the linear index of its first occurrence in the specified data. | 
| Min(ReadOnlyDoubleMatrix) | Returns the minimum value and the linear index of its first occurrence in the specified data. | 
| Min(DoubleMatrix, DataOperation) | Returns the smallest entries in rows or columns of the specified data. | 
| Min(ReadOnlyDoubleMatrix, DataOperation) | Returns the smallest entries in rows or columns of the specified data. | 
| Quantile(DoubleMatrix, DoubleMatrix) | Returns the quantiles of the given data for the specified probabilities. | 
| Quantile(ReadOnlyDoubleMatrix, DoubleMatrix) | Returns the quantiles of the given data for the specified probabilities. | 
| Quantile(DoubleMatrix, DoubleMatrix, DataOperation) | Returns the quantiles of rows or columns in the given data corresponding to the specified probabilities. | 
| Quantile(ReadOnlyDoubleMatrix, DoubleMatrix, DataOperation) | Returns the quantiles of rows or columns in the given data corresponding to the specified probabilities. | 
| Skewness(DoubleMatrix, Boolean) | Returns the skewness of the specified data, eventually adjusted for bias. | 
| Skewness(ReadOnlyDoubleMatrix, Boolean) | Returns the skewness of the specified data, eventually adjusted for bias. | 
| Skewness(DoubleMatrix, Boolean, DataOperation) | Returns the skewness of each row or column in the specified data, eventually adjusted for bias. | 
| Skewness(ReadOnlyDoubleMatrix, Boolean, DataOperation) | Returns the skewness of each row or column in the specified data, eventually adjusted for bias. | 
| Sort(DoubleMatrix, SortDirection) | Sorts the specified data in ascending or descending order. | 
| Sort(ReadOnlyDoubleMatrix, SortDirection) | Sorts the specified data in ascending or descending order. | 
| SortIndex(DoubleMatrix, SortDirection) | Sorts the specified data in ascending or descending order. The linear indexes of the sorted entries are similarly arranged. | 
| SortIndex(ReadOnlyDoubleMatrix, SortDirection) | Sorts the specified data in ascending or descending order. The linear indexes of the sorted entries are similarly arranged. | 
| StandardDeviation(DoubleMatrix, Boolean) | Returns the standard deviation of the specified data, eventually adjusted for bias. | 
| StandardDeviation(ReadOnlyDoubleMatrix, Boolean) | Returns the standard deviation of the specified data, eventually adjusted for bias. | 
| StandardDeviation(DoubleMatrix, Boolean, DataOperation) | Returns the standard deviation of each row or column in the specified data, eventually adjusted for bias. | 
| StandardDeviation(ReadOnlyDoubleMatrix, Boolean, DataOperation) | Returns the standard deviation of each row or column in the specified data, eventually adjusted for bias. | 
| Sum(DoubleMatrix) | Returns the sum of the specified data. | 
| Sum(ReadOnlyDoubleMatrix) | Returns the sum of the specified data. | 
| Sum(DoubleMatrix, DataOperation) | Returns the sum of each row or column in the specified data. | 
| Sum(ReadOnlyDoubleMatrix, DataOperation) | Returns the sum of each row or column in the specified data. | 
| SumOfSquaredDeviations(DoubleMatrix) | Returns the sum of squared deviations of the specified data. | 
| SumOfSquaredDeviations(ReadOnlyDoubleMatrix) | Returns the sum of squared deviations of the specified data. | 
| SumOfSquaredDeviations(DoubleMatrix, DataOperation) | Returns the sum of squared deviations of each row or column in the specified data. | 
| SumOfSquaredDeviations(ReadOnlyDoubleMatrix, DataOperation) | Returns the sum of squared deviations of each row or column in the specified data. | 
| Variance(DoubleMatrix, Boolean) | Returns the variance of the specified data, eventually adjusted for bias. | 
| Variance(ReadOnlyDoubleMatrix, Boolean) | Returns the variance of the specified data, eventually adjusted for bias. | 
| Variance(DoubleMatrix, Boolean, DataOperation) | Returns the variance of each row or column in the specified data, eventually adjusted for bias. | 
| Variance(ReadOnlyDoubleMatrix, Boolean, DataOperation) | Returns the variance of each row or column in the specified data, eventually adjusted for bias. |