Classes | |
class | TDecompChol |
Cholesky Decomposition class. More... | |
Functions | |
TMatrixD | NormalEqn (const TMatrixD &A, const TMatrixD &b) |
Solve min {(A . | |
TMatrixD | NormalEqn (const TMatrixD &A, const TMatrixD &B, const TVectorD &std) |
Solve min {(A . | |
TVectorD | NormalEqn (const TMatrixD &A, const TVectorD &b) |
Solve min {(A . | |
TVectorD | NormalEqn (const TMatrixD &A, const TVectorD &b, const TVectorD &std) |
Solve min {(A . | |
Solve min {(A .
X_j - B_j)^T (A . X_j - B_j)} for each column j in B and X A : (m x n ) matrix, m >= n B : (m x nb) matrix, nb >= 1 mX : (n x nb) matrix
Definition at line 445 of file TDecompChol.cxx.
Solve min {(A .
X_j - B_j)^T W (A . X_j - B_j)} for each column j in B and X
Definition at line 464 of file TDecompChol.cxx.
Solve min {(A .
x - b)^T (A . x - b)} for vector x where A : (m x n) matrix, m >= n b : (m) vector x : (n) vector
Definition at line 405 of file TDecompChol.cxx.
Solve min {(A .
x - b)^T W (A . x - b)} for vector x where A : (m x n) matrix, m >= n b : (m) vector x : (n) vector W : (m x m) weight matrix with W(i,j) = 1/std(i)^2 for i == j = 0 for i != j
Definition at line 420 of file TDecompChol.cxx.