#include <libDC.h>
Public Member Functions | |
ldmat (const mat &L, const vec &D) | |
Construct by copy of L and D. | |
ldmat (const mat &V) | |
Construct by decomposition of full matrix V. | |
ldmat (vec D0) | |
Construct diagonal matrix with diagonal D0. | |
ldmat () | |
Default constructor. | |
ldmat (const int dim0) | |
Default initialization with proper size. | |
virtual | ~ldmat () |
Destructor for future use;. | |
void | opupdt (const vec &v, double w) |
mat | to_mat () |
Conversion to full matrix. | |
void | mult_sym (const mat &C) |
Inplace symmetric multiplication by a SQUARE matrix $C$, i.e. $V = C*V*C'$. | |
void | mult_sym_t (const mat &C) |
Inplace symmetric multiplication by a SQUARE transpose of matrix $C$, i.e. $V = C'*V*C$. | |
void | add (const ldmat &ld2, double w=1.0) |
Add another matrix in LD form with weight w. | |
double | logdet () const |
Logarithm of a determinant. | |
double | qform (const vec &v) const |
Evaluates quadratic form $x= v'*V*v$;. | |
void | clear () |
Clearing matrix so that it corresponds to zeros. | |
int | cols () const |
access function | |
int | rows () const |
access function | |
vec | sqrt_mult (const vec &v) const |
Multiplies square root of $V$ by vector $x$. | |
virtual void | inv (ldmat &Inv) const |
Matrix inversion preserving the chosen form. | |
void | mult_sym (const mat &C, ldmat &U) const |
Symmetric multiplication of $U$ by a general matrix $C$, result of which is stored in the current class. | |
void | mult_sym_t (const mat &C, ldmat &U) const |
Symmetric multiplication of $U$ by a transpose of a general matrix $C$, result of which is stored in the current class. | |
void | ldform (const mat &A, const vec &D0) |
Transforms general $A'D0 A$ into pure $L'DL$. | |
void | setD (const vec &nD) |
Access functions. | |
void | setD (const vec &nD, int i) |
Access functions. | |
void | setL (const vec &nL) |
Access functions. | |
ldmat & | operator+= (const ldmat &ldA) |
add another ldmat matrix | |
ldmat & | operator-= (const ldmat &ldA) |
subtract another ldmat matrix | |
ldmat & | operator *= (double x) |
multiply by a scalar | |
Protected Attributes | |
vec | D |
Positive vector $D$. | |
mat | L |
Lower-triangular matrix $L$. | |
Friends | |
std::ostream & | operator<< (std::ostream &os, const ldmat &sq) |
print both L and D |
Matrix is decomposed as follows:
where only $L$ and $D$ matrices are stored. All inplace operations modifies only these and the need to compose and decompose the matrix is avoided.
void ldmat::opupdt | ( | const vec & | v, | |
double | w | |||
) | [virtual] |
Perfroms a rank-1 update by outer product of vectors: $V = V + w v v'$.
v | Vector forming the outer product to be added | |
w | weight of updating; can be negative |
Implements sqmat.
void ldmat::mult_sym | ( | const mat & | C | ) | [virtual] |
Inplace symmetric multiplication by a SQUARE matrix $C$, i.e. $V = C*V*C'$.
C | multiplying matrix, |
Implements sqmat.
void ldmat::mult_sym_t | ( | const mat & | C | ) | [virtual] |
Inplace symmetric multiplication by a SQUARE transpose of matrix $C$, i.e. $V = C'*V*C$.
C | multiplying matrix, |
Implements sqmat.
vec ldmat::sqrt_mult | ( | const vec & | v | ) | const [virtual] |
Multiplies square root of $V$ by vector $x$.
Used e.g. in generating normal samples.
Implements sqmat.
void ldmat::inv | ( | ldmat & | Inv | ) | const [virtual] |
Matrix inversion preserving the chosen form.
Inv | a space where the inverse is stored. |
void ldmat::mult_sym | ( | const mat & | C, | |
ldmat & | U | |||
) | const |
Symmetric multiplication of $U$ by a general matrix $C$, result of which is stored in the current class.
C | matrix to multiply with | |
U | a space where the inverse is stored. |
void ldmat::mult_sym_t | ( | const mat & | C, | |
ldmat & | U | |||
) | const |
Symmetric multiplication of $U$ by a transpose of a general matrix $C$, result of which is stored in the current class.
C | matrix to multiply with | |
U | a space where the inverse is stored. |
void ldmat::ldform | ( | const mat & | A, | |
const vec & | D0 | |||
) |
Transforms general $A'D0 A$ into pure $L'DL$.
The new decomposition fullfills: $A'*diag(D)*A = self.L'*diag(self.D)*self.L$
A | general matrix | |
D0 | general vector |
add another ldmat matrix
Operations: mapping of add operation to operators
subtract another ldmat matrix
mapping of negative add operation to operators