Open Babel
3.0
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#include <openbabel/math/matrix3x3.h>
Public Member Functions | |
matrix3x3 (void) | |
matrix3x3 (double s) | |
matrix3x3 (vector3 row1, vector3 row2, vector3 row3) | |
matrix3x3 (double d[3][3]) | |
~matrix3x3 () | |
void | GetArray (double *m) |
const double & | operator() (int row, int column) const |
double & | operator() (int row, int column) |
matrix3x3 | inverse (void) const |
matrix3x3 | transpose (void) const |
double | determinant () const |
bool | isSymmetric (void) const |
bool | isOrthogonal (void) const |
bool | isDiagonal (void) const |
bool | isUnitMatrix (void) const |
double | Get (int row, int column) const |
void | Set (int row, int column, double v) |
void | SetColumn (int column, const vector3 &v) |
void | SetRow (int row, const vector3 &v) |
vector3 | GetColumn (unsigned int col) const |
vector3 | GetRow (unsigned int row) const |
matrix3x3 & | operator*= (const double &c) |
matrix3x3 & | operator/= (const double &c) |
void | SetupRotMat (double x, double y, double z) |
void | PlaneReflection (const vector3 &norm) |
void | RotAboutAxisByAngle (const vector3 &axis, const double angle) |
void | FillOrth (double alpha, double beta, double gamma, double a, double b, double c) |
matrix3x3 | findEigenvectorsIfSymmetric (vector3 &eigenvals) const |
Static Public Member Functions | |
static void | jacobi (unsigned int n, double *a, double *d, double *v) |
Friends | |
vector3 | operator* (const matrix3x3 &, const vector3 &) |
matrix3x3 | operator* (const matrix3x3 &, const matrix3x3 &) |
std::ostream & | operator<< (std::ostream &, const matrix3x3 &) |
Represents a real 3x3 matrix.
Rotating points in space can be performed by a vector-matrix multiplication. The matrix3x3 class is designed as a helper to the vector3 class for rotating points in space. The rotation matrix may be initialised by passing in the array of floating point values, by passing euler angles, or a rotation vector and angle of rotation about that vector. Once set, the matrix3x3 class can be used to rotate vectors by the overloaded multiplication operator. The following demonstrates the usage of the matrix3x3 class:
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Constructs the zero-matrix.
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Constructs s times the unit matrix.
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Constructs a matrix from a 3x3-array of doubles.
The first index represents the row, the second index the column
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Destructor.
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Access function.
Writes the matrix into the 1-dimensional array m, row by row. The array must be able to hold 9 doubles, otherwise your program will segfault.
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matrix3x3 inverse | ( | void | ) | const |
Calculates the inverse of a matrix.
This method checks if the absolute value of the determinant is smaller than 1e-6. If so, nothing is done and an exception is thrown. Otherwise, the inverse matrix is calculated and returned. *this is not changed.
Referenced by OBUnitCell::CartesianToFractional(), OBUnitCell::GetFractionalMatrix(), and OBUnitCell::SetData().
matrix3x3 transpose | ( | void | ) | const |
Calculates the transpose of a matrix.
Referenced by OBUnitCell::GetCellMatrix(), and OBUnitCell::SetData().
double determinant | ( | void | ) | const |
bool isSymmetric | ( | void | ) | const |
Checks if a matrix is symmetric.
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Checks if a matrix is orthogonal.
This method checks if a matrix is orthogonal, i.e. if all column vectors are normalized and are mutually orthogonal. A matrix is orthogonal if, and only if the transformation it describes is orthonormal. An orthonormal transformation is a transformation that preserves length and angle.
The check is performed using the method isUnitMatrix() to check if
is a unit matrix. The criterion is therefore numerically quite tight.
bool isDiagonal | ( | void | ) | const |
This method returns true if and only if the matrix is (approximately) a diagonal matrix. The precision used by this function is 1e-6.
bool isUnitMatrix | ( | void | ) | const |
This method returns true if and only if the matrix is (approximately) equal to the identity matrix. The precision used by this function is 1e-6.
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Access function.
Referenced by vector3::operator*=().
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Access function.
void SetColumn | ( | int | column, |
const vector3 & | v | ||
) |
Access function.
void SetRow | ( | int | row, |
const vector3 & | v | ||
) |
Access function.
vector3 GetColumn | ( | unsigned int | col | ) | const |
Access function.
Referenced by OBUnitCell::GetA(), OBUnitCell::GetAlpha(), OBUnitCell::GetB(), OBUnitCell::GetBeta(), OBUnitCell::GetC(), and OBUnitCell::GetGamma().
vector3 GetRow | ( | unsigned int | row | ) | const |
Access function.
Referenced by OBUnitCell::GetCellVectors(), and OBUnitCell::SetData().
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Multiplies all entries of the matrix by a scalar c.
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Divides all entries of the matrix by a scalar c.
void SetupRotMat | ( | double | x, |
double | y, | ||
double | z | ||
) |
Calculate a rotation matrix for rotation about the x, y, and z axes by the angles specified (in degrees)
Referenced by OBBuilder::Connect().
void PlaneReflection | ( | const vector3 & | norm | ) |
Calculates a matrix that represents reflection on a plane.
Replaces *this with a matrix that represents reflection on the plane through 0 which is given by the normal vector norm.
norm | specifies the normal to the plane |
void RotAboutAxisByAngle | ( | const vector3 & | v, |
const double | angle | ||
) |
Calculates a rotation matrix, rotating around the specified axis by the specified angle (in degrees)
Replaces *this with a matrix that represents rotation about the axis by a an angle.
v | specifies the axis of the rotation |
angle | angle in degrees (0..360) |
Referenced by OBMol::Align(), OBBuilder::Build(), OBBuilder::GetNewBondVector(), OBBuilder::IsSpiroAtom(), and OBAtom::SetHybAndGeom().
void FillOrth | ( | double | alpha, |
double | beta, | ||
double | gamma, | ||
double | a, | ||
double | b, | ||
double | c | ||
) |
Calculate an orthogonalisation matrix for a unit cell specified by the parameters alpha, beta, gamma, a, b, c where alpha, beta, and gamma are the cell angles (in degrees) and a, b, and c are the cell vector lengths Used by OBUnitCell
Referenced by OBUnitCell::SetData().
Find the eigenvalues and -vectors of a symmetric matrix.
This method employs the static method matrix3x3::jacobi(...) to find the eigenvalues and eigenvectors of a symmetric matrix. On entry it is checked if the matrix really is symmetric: if isSymmetric() returns 'false', an OBError is thrown.
eigenvals | a reference to a vector3 where the eigenvalues will be stored. The eigenvalues are ordered so that eigenvals[0] <= eigenvals[1] <= eigenvals[2]. |
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Eigenvalue calculation.
This static function computes the eigenvalues and eigenvectors of a SYMMETRIC nxn matrix. This method is used internally by OpenBabel, but may be useful as a general eigenvalue finder.
The algorithm uses Jacobi transformations. It is described e.g. in Wilkinson, Reinsch "Handbook for automatic computation, Volume II: Linear Algebra", part II, contribution II/1. The implementation is also similar to the implementation in this book. This method is adequate to solve the eigenproblem for small matrices, of size perhaps up to 10x10. For bigger problems, you might want to resort to the sophisticated routines of LAPACK.
n | the size of the matrix that should be diagonalized |
a | array of size n^2 which holds the symmetric matrix whose eigenvectors are to be computed. The convention is that the entry in row r and column c is addressed as a[n*r+c] where, of course, 0 <= r < n and 0 <= c < n. There is no check that the matrix is actually symmetric. If it is not, the behaviour of this function is undefined. On return, the matrix is overwritten with junk. |
d | pointer to a field of at least n doubles which will be overwritten. On return of this function, the entries d[0]..d[n-1] will contain the eigenvalues of the matrix. |
v | an array of size n^2 where the eigenvectors will be stored. On return, the columns of this matrix will contain the eigenvectors. The eigenvectors are normalized and mutually orthogonal. |
Matrix-vector multiplication.
Calculates the product m*v of the matrix m and the column vector represented by v
Matrix-matrix multiplication.
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Output a text representation of a matrix.
Print a text representation of the matrix in the standardized form: [ a, b, c ]
[ d, e, f ]
[ g, h, i ]
where the letters represent the appropriate entries in the matrix. Uses the standard output format for the individual entries, separated by ", " for each column, and [ ] indicating each row.