Uses of Class
org.scijava.vecmath.GVector

Uses of GVector in org.scijava.vecmath

Methods in org.scijava.vecmath with parameters of type GVector

Modifier and Type	Method and Description
void	GVector.add(GVector vector) Sets the value of this vector to sum of itself and the specified vector
void	GVector.add(GVector vector1, GVector vector2) Sets the value of this vector to the vector sum of vectors vector1 and vector2.
double	GVector.angle(GVector v1) Returns the (n-space) angle in radians between this vector and the vector parameter; the return value is constrained to the range [0,PI].
double	GVector.dot(GVector v1) Returns the dot product of this vector and vector v1.
boolean	GVector.epsilonEquals(GVector v1, double epsilon) Returns true if the L-infinite distance between this vector and vector v1 is less than or equal to the epsilon parameter, otherwise returns false.
boolean	GVector.equals(GVector vector1) Returns true if all of the data members of GVector vector1 are equal to the corresponding data members in this GVector.
void	GMatrix.getColumn(int col, GVector vector) Places the values of the specified column into the vector parameter.
void	GMatrix.getRow(int row, GVector vector) Places the values of the specified row into the vector parameter.
void	GVector.interpolate(GVector v1, double alpha) Linearly interpolates between this vector and vector v1 and places the result into this tuple: this = (1-alpha)*this + alpha*v1.
void	GVector.interpolate(GVector v1, float alpha) Deprecated. Use interpolate(GVector, double) instead
void	GVector.interpolate(GVector v1, GVector v2, double alpha) Linearly interpolates between vectors v1 and v2 and places the result into this tuple: this = (1-alpha)*v1 + alpha*v2.
void	GVector.interpolate(GVector v1, GVector v2, float alpha) Deprecated. Use interpolate(GVector, GVector, double) instead
int	GMatrix.LUD(GMatrix LU, GVector permutation) LU Decomposition: this matrix must be a square matrix and the LU GMatrix parameter must be the same size as this matrix.
void	GVector.LUDBackSolve(GMatrix LU, GVector b, GVector permutation) LU Decomposition Back Solve; this method takes the LU matrix and the permutation vector produced by the GMatrix method LUD and solves the equation (LU)*x = b by placing the solution vector x into this vector.
void	GVector.mul(GMatrix m1, GVector v1) Multiplies matrix m1 times Vector v1 and places the result into this vector (this = m1*v1).
void	GVector.mul(GVector v1, GMatrix m1) Multiplies the transpose of vector v1 (ie, v1 becomes a row vector with respect to the multiplication) times matrix m1 and places the result into this vector (this = transpose(v1)*m1).
void	GMatrix.mul(GVector v1, GVector v2) Computes the outer product of the two vectors; multiplies the the first vector by the transpose of the second vector and places the matrix result into this matrix.
void	GVector.normalize(GVector v1) Sets the value of this vector to the normalization of vector v1.
void	GVector.scale(double s, GVector v1) Sets the value of this vector to the scalar multiplication of the scale factor with the vector v1.
void	GVector.scaleAdd(double s, GVector v1, GVector v2) Sets the value of this vector to the scalar multiplication by s of vector v1 plus vector v2 (this = s*v1 + v2).
void	GVector.set(GVector vector) Sets the value of this vector to the values found in vector vector.
void	GMatrix.setColumn(int col, GVector vector) Copy the values from the vector into the specified column of this matrix.
void	GMatrix.setRow(int row, GVector vector) Copy the values from the vector into the specified row of this matrix.
void	GVector.sub(GVector vector) Sets the value of this vector to the vector difference of itself and vector (this = this - vector).
void	GVector.sub(GVector vector1, GVector vector2) Sets the value of this vector to the vector difference of vectors vector1 and vector2 (this = vector1 - vector2).
void	GVector.SVDBackSolve(GMatrix U, GMatrix W, GMatrix V, GVector b) Solves for x in Ax = b, where x is this vector (nx1), A is mxn, b is mx1, and A = U*W*transpose(V); U,W,V must be precomputed and can be found by taking the singular value decomposition (SVD) of A using the method SVD found in the GMatrix class.

Constructors in org.scijava.vecmath with parameters of type GVector

Constructor and Description
GVector(GVector vector) Constructs a new GVector from the specified vector.