GTSAM  4.0.2
C++ library for smoothing and mapping (SAM)
Protected Attributes | List of all members
gtsam::PowerMethod< Operator > Class Template Reference

Compute maximum Eigenpair with power method. More...

#include <PowerMethod.h>

Inheritance diagram for gtsam::PowerMethod< Operator >:
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Public Member Functions

Standard Constructors
 PowerMethod (const Operator &A, const std::optional< Vector > initial={})
 Construct from the aim matrix and intial ritz vector.
 
Vector powerIteration (const Vector &x) const
 
Vector powerIteration () const
 
bool converged (double tol) const
 
size_t nrIterations () const
 Return the number of iterations.
 
bool compute (size_t maxIterations, double tol)
 
double eigenvalue () const
 Return the eigenvalue.
 
Vector eigenvector () const
 Return the eigenvector.
 

Protected Attributes

const Operator & A_
 
const int dim_
 
size_t nrIterations_
 
double ritzValue_
 
Vector ritzVector_
 

Detailed Description

template<class Operator>
class gtsam::PowerMethod< Operator >

Compute maximum Eigenpair with power method.

References : 1) G. Golub and C. V. Loan, Matrix Computations, 3rd ed. Baltimore, Johns Hopkins University Press, 1996, pp.405-411 2) Rosen, D. and Carlone, L., 2017, September. Computational enhancements for certifiably correct SLAM. In Proceedings of the International Conference on Intelligent Robots and Systems. 3) Yulun Tian and Kasra Khosoussi and David M. Rosen and Jonathan P. How, 2020, Aug, Distributed Certifiably Correct Pose-Graph Optimization, Arxiv 4) C. de Sa, B. He, I. Mitliagkas, C. Ré, and P. Xu, “Accelerated stochastic power iteration,” in Proc. Mach. Learn. Res., no. 84, 2018, pp. 58–67

It performs the following iteration: \( x_{k+1} = A * x_k \) where A is the aim matrix we want to get eigenpair of, x is the Ritz vector

Template argument Operator just needs multiplication operator

Member Function Documentation

◆ compute()

template<class Operator>
bool gtsam::PowerMethod< Operator >::compute ( size_t  maxIterations,
double  tol 
)
inline

Start the power/accelerated iteration, after performing the power/accelerated iteration, calculate the ritz error, repeat this operation until the ritz error converge. If converged return true, else false.

◆ converged()

template<class Operator>
bool gtsam::PowerMethod< Operator >::converged ( double  tol) const
inline

After Perform power iteration on a single Ritz value, check if the Ritz residual for the current Ritz pair is less than the required convergence tol, return true if yes, else false

◆ powerIteration() [1/2]

template<class Operator>
Vector gtsam::PowerMethod< Operator >::powerIteration ( const Vector &  x) const
inline

Run power iteration to get ritzVector with previous ritzVector x, and return A * x / || A * x ||

◆ powerIteration() [2/2]

template<class Operator>
Vector gtsam::PowerMethod< Operator >::powerIteration ( ) const
inline

Run power iteration to get ritzVector with previous ritzVector x, and return A * x / || A * x ||

Member Data Documentation

◆ A_

template<class Operator>
const Operator& gtsam::PowerMethod< Operator >::A_
protected

Const reference to an externally-held matrix whose minimum-eigenvalue we want to compute


The documentation for this class was generated from the following file: