Library "regressions" This library computes least square regression models for polynomials of any form for a given data set of x and y values. fit(X, y, reg_type, degrees) Takes a list of X and y values and the degrees of the polynomial and returns a least square regression for the given polynomial on the dataset. Parameters: X (array) : (float ) ...
Library "FunctionLAPACKdsyrk" subroutine part of LAPACK: Linear Algebra Package, performs one of the symmetric rank k operations . C := alpha*A*A**T + beta*C, or C := alpha*A**T*A + beta*C, . where alpha and beta are scalars, C is an n by n symmetric matrix and A is an n by k matrix in the first case and a k by n matrix in the second...
Library "FunctionLAPACKdtrsm" subroutine in the LAPACK:linear algebra package, used to solve one of the following matrix equations: op( A )*X = alpha*B, or X*op( A ) = alpha*B, where alpha is a scalar, X and B are m by n matrices, A is a unit, or non-unit, upper or lower triangular matrix and op( A ) is one of op( A ) = A or op( A ) = A**T. The...