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Data Structures | |
| class | IMP::algebra::VectorD< D > |
| A Cartesian vector in D-dimensions. More... | |
Namespaces | |
| namespace | IMP |
The IMP kernel provides base classes and key shared functionality. | |
| namespace | IMP::algebra |
| This module contains general purpose algebraic and geometric methods. | |
Typedefs | |
| typedef VectorD< 2 > | IMP::algebra::Vector2D |
| typedef std::vector< VectorD< 2 > > | IMP::algebra::Vector2Ds |
| typedef VectorD< 3 > | IMP::algebra::Vector3D |
| typedef std::vector< VectorD< 3 > > | IMP::algebra::Vector3Ds |
| typedef VectorD< 4 > | IMP::algebra::Vector4D |
| typedef std::vector< VectorD< 4 > > | IMP::algebra::Vector4Ds |
Functions | |
| template<unsigned int D> | |
| int | IMP::algebra::compare (const VectorD< D > &a, const VectorD< D > &b) |
| lexicographic comparison of two vectors | |
| template<unsigned int D> | |
| VectorD< D > | IMP::algebra::get_basis_vector_d (unsigned int coordinate) |
| Return the basis vector for the given coordinate. | |
| template<unsigned int D> | |
| double | IMP::algebra::get_distance (const VectorD< D > &v1, const VectorD< D > &v2) |
| compute the distance between two vectors | |
| template<unsigned int D> | |
| VectorD< D > | IMP::algebra::get_ones_vector_d (double v=1) |
| Return a vector of ones (or another constant). | |
| template<unsigned int D> | |
| double | IMP::algebra::get_squared_distance (const VectorD< D > &v1, const VectorD< D > &v2) |
| compute the squared distance between two vectors | |
| template<unsigned int D> | |
| VectorD< D > | IMP::algebra::get_zero_vector_d () |
| Return a vector of zeros. | |
| template<unsigned int D> | |
| VectorD< D > | IMP::algebra::operator* (double s, const VectorD< D > &o) |
Norms | |
We define a number of standard,  , norms on VectorD.
| |
| template<unsigned int D> | |
| double | IMP::algebra::get_l1_norm (const VectorD< D > &v) |
| template<unsigned int D> | |
| double | IMP::algebra::get_l2_norm (const VectorD< D > &v) |
| template<unsigned int D> | |
| double | IMP::algebra::get_linf_norm (const VectorD< D > &v) |
Copyright 2007-2010 IMP Inventors. All rights reserved.
is the Manhattan distance, the sum of the components
is the standard Euclidean length
is the maximum of the components