orthovalM
Orthogonal evaluation for matrices.
Syntax
F = orthovalM(a, M, domain, basis)
Description
f = orthovalM(a, M, domain, basis) returns the value of
a polynomial evaluated (orthogonally) at M: f = sum(a_iP_i).
Inputs
a = coefficients (double vector).
M = input for evaluation (sparse matrix).
domain = domain [a b] of orthogonality (double vector).
basis = orthogonal polynomial basis (integer scalar or char).
1 or 'ChebyshevT' to Chebyshev of first kind,
2 or 'ChebyshevU' to Chebyshev of second kind,
3 or 'LegendreP' to Legendre,
4 or 'HermiteH' to Hermite,
5 or 'LaguerreL' to Laguerre and
6 or 'GegenbauerC' to Gegenbauer.
Output
F = sum(a_iP_i(M)), i = 1:length(a) (dense matrix (n <= 10 )).
(sparse matrix (n > 10 ))
See also
orthovalv, orthovalvj, orthovald and orthovalMj.
f = orthovalM(a, M, domain, basis) returns the value of a polynomial evaluated (orthogonally) at M: f = sum(a_iP_i).
Inputs
a = coefficients (double vector).
M = input for evaluation (sparse matrix).
domain = domain [a b] of orthogonality (double vector).
basis = orthogonal polynomial basis (integer scalar or char).
1 or 'ChebyshevT' to Chebyshev of first kind,
2 or 'ChebyshevU' to Chebyshev of second kind,
3 or 'LegendreP' to Legendre,
4 or 'HermiteH' to Hermite,
5 or 'LaguerreL' to Laguerre and
6 or 'GegenbauerC' to Gegenbauer.
Output
F = sum(a_iP_i(M)), i = 1:length(a) (dense matrix (n <= 10 )).
(sparse matrix (n > 10 ))
See also
orthovalv, orthovalvj, orthovald and orthovalMj.
F = sum(a_iP_i(M)), i = 1:length(a) (dense matrix (n <= 10 )). (sparse matrix (n > 10 ))