This class implements upper bounds on the lenght of the shortest nonzero vector in a lattice. More...
#include <latticetester/NormaLaminated.h>
Inherits LatticeTester::Normalizer< RedDbl >.
Public Member Functions | |
| NormaLaminated (RedDbl &logDensity, int t, double beta=1) | |
| Constructor for this class. More... | |
| double | getGamma (int j) const |
| Returns the value of the bound on the Hermite's constant \(\gamma_j\) in dimension \(j\). More... | |
 Public Member Functions inherited from LatticeTester::Normalizer< RedDbl > | |
| Normalizer (RedDbl &logDensity, int t, std::string Name, NormType norm=L2NORM, double beta=1) | |
Complete constructor for a Normalizer. More... | |
| Normalizer (int t, std::string Name, NormType norm=L2NORM, double beta=1) | |
| Constructor that does not take the density as an argument. More... | |
| virtual | ~Normalizer () |
| Destructor. More... | |
| virtual void | init (RedDbl &logDensity, double beta) |
| This is a method that will initialize the bounds this normalizer can return. More... | |
| std::string | ToString () const |
| Returns a string that describes this object. More... | |
| NormType | getNorm () const |
| Returns the norm associated with this object. More... | |
| void | setLogDensity (RedDbl logDensity) |
Sets the log-density associated with this object to logDensity. More... | |
| RedDbl | getLogDensity () const |
Returns the logDensity associated with this object. More... | |
| void | setNorm (NormType norm) |
Sets the norm associated with this object to norm. More... | |
| int | getDim () const |
| Returns the maximal dimension for this object. More... | |
| double | getPreComputedBound (int j) const |
Returns the bound for dimension j as computed in Normalizer::init(). More... | |
| virtual RedDbl | getBound (int j) const |
Calculates and returns the bound on the length of the shortest nonzero vector in dimension j. More... | |
Additional Inherited Members | |
| Static Public Attributes inherited from LatticeTester::Normalizer< RedDbl > | |
| static const int | MAX_DIM = 48 |
| The maximum dimension of the lattices for which this class can give an upper bound. More... | |
| Protected Attributes inherited from LatticeTester::Normalizer< RedDbl > | |
| std::string | m_name |
| Name of the normalizer. More... | |
| NormType | m_norm |
| Norm associated with this object. More... | |
| RedDbl | m_logDensity |
| log of the density, ie log of the number of points of the lattice per unit of volume. More... | |
| int | m_maxDim |
Only elements 1 to m_maxDim (inclusive) of m_bounds bellow will be pre-computed. More... | |
| double | m_beta |
| Beta factor used to give more or less importance to some of the dimensions. More... | |
| double * | m_bounds |
| Contains the bounds on the length of the shortest nonzero vector in the lattice in each dimension. More... | |
Detailed Description
template<typename RedDbl>
class LatticeTester::NormaLaminated< RedDbl >
This class implements upper bounds on the lenght of the shortest nonzero vector in a lattice.
To obtain these bounds, this class contains hard-coded values of an approximation of the Hermite's constant \(\gamma_s\) with the density of the laminated lattice of dimension s. These Hermite's constants are stored in a table accessible via the getGamma(int) const method.
A laminated lattice in dimension s is, roughly speaking, the densest possible packing of a laminated lattice of dimension s-1 with copies of itself. These lattices are not always the densest lattices available, but are a more instinctive construction of a dense lattice. In [4], Table 6.1 gives the determinant \(\lambda_s\) that can be used to recover the center density \(\delta_s = \lambda_s^{-1/2}\) of the densest laminated lattice in dimension \(s\). From there, we get
\[ \gamma_s = 4 \delta_s^{2/s}. \]
The number \(\gamma_n\) is the number returned by calling getGamma(n). The init() method of this class inherited from Normalizer computes the upper bound on the shortest non-zero vector of the lattice as
\[ \gamma_s^{1/2} n^{-1/s}. \]
Here \(n = \exp(\text{logDensity})\) is the density of the lattice to be analyzed passed as an argument to the constructor of this object.
This class is to be used with the L2NORM (the Euclidian norm) exclusively. Note this class stores the log value of the density to handle larger values.
Constructor & Destructor Documentation
◆ NormaLaminated()
| LatticeTester::NormaLaminated< RedDbl >::NormaLaminated | ( | RedDbl & | logDensity, |
| int | t, | ||
| double | beta = 1 |
||
| ) |
Constructor for this class.
Suppose we want to use this normalizer on a lattice with it's basis in the lines of \(V\) of dimension \(t\). We can call this constructor as NormaLaminated(abs(det(V)), t). getPreComputedBound(t) will then return an upper bound on the lenght of the shortest non-zero vector in dimension t. In the case where the lattice also has the same density in lower dimensions than t, pre-computed bounds will also be available.
The bias factor beta gives more or less weight to some of the dimensions (see Normalizer for details). It is recommended to keep it at its default value because its usage is deprecated.
There is a restriction for t to be \(\le48\).
Member Function Documentation
◆ getGamma()
|
inlinevirtual |
Returns the value of the bound on the Hermite's constant \(\gamma_j\) in dimension \(j\).
Reimplemented from LatticeTester::Normalizer< RedDbl >.
The documentation for this class was generated from the following file:
- include/latticetester/NormaLaminated.h
