gtsam/gtsam/nonlinear/ISAM2-impl.h

148 lines
6.5 KiB
C++

/* ----------------------------------------------------------------------------
* GTSAM Copyright 2010, Georgia Tech Research Corporation,
* Atlanta, Georgia 30332-0415
* All Rights Reserved
* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
* See LICENSE for the license information
* -------------------------------------------------------------------------- */
/**
* @file ISAM2-impl.h
* @brief Incremental update functionality (ISAM2) for BayesTree, with fluid relinearization.
* @author Michael Kaess, Richard Roberts
*/
#pragma once
#include <gtsam/linear/GaussianBayesTree.h>
#include <gtsam/nonlinear/ISAM2.h>
namespace gtsam {
struct GTSAM_EXPORT ISAM2::Impl {
struct GTSAM_EXPORT PartialSolveResult {
ISAM2::sharedClique bayesTree;
};
struct GTSAM_EXPORT ReorderingMode {
size_t nFullSystemVars;
enum { /*AS_ADDED,*/ COLAMD } algorithm;
enum { NO_CONSTRAINT, CONSTRAIN_LAST } constrain;
boost::optional<FastMap<Key,int> > constrainedKeys;
};
/**
* Add new variables to the ISAM2 system.
* @param newTheta Initial values for new variables
* @param theta Current solution to be augmented with new initialization
* @param delta Current linear delta to be augmented with zeros
* @param ordering Current ordering to be augmented with new variables
* @param nodes Current BayesTree::Nodes index to be augmented with slots for new variables
* @param keyFormatter Formatter for printing nonlinear keys during debugging
*/
static void AddVariables(const Values& newTheta, Values& theta, VectorValues& delta,
VectorValues& deltaNewton, VectorValues& RgProd,
const KeyFormatter& keyFormatter = DefaultKeyFormatter);
/// Perform the first part of the bookkeeping updates for adding new factors. Adds them to the
/// complete list of nonlinear factors, and populates the list of new factor indices, both
/// optionally finding and reusing empty factor slots.
static void AddFactorsStep1(const NonlinearFactorGraph& newFactors, bool useUnusedSlots,
NonlinearFactorGraph& nonlinearFactors, FastVector<size_t>& newFactorIndices);
/**
* Remove variables from the ISAM2 system.
*/
static void RemoveVariables(const FastSet<Key>& unusedKeys, const FastVector<ISAM2::sharedClique>& roots,
Values& theta, VariableIndex& variableIndex, VectorValues& delta, VectorValues& deltaNewton,
VectorValues& RgProd, FastSet<Key>& replacedKeys, Base::Nodes& nodes,
FastSet<Key>& fixedVariables);
/**
* Find the set of variables to be relinearized according to relinearizeThreshold.
* Any variables in the VectorValues delta whose vector magnitude is greater than
* or equal to relinearizeThreshold are returned.
* @param delta The linear delta to check against the threshold
* @param keyFormatter Formatter for printing nonlinear keys during debugging
* @return The set of variable indices in delta whose magnitude is greater than or
* equal to relinearizeThreshold
*/
static FastSet<Key> CheckRelinearizationFull(const VectorValues& delta,
const ISAM2Params::RelinearizationThreshold& relinearizeThreshold);
/**
* Find the set of variables to be relinearized according to relinearizeThreshold.
* This check is performed recursively, starting at the top of the tree. Once a
* variable in the tree does not need to be relinearized, no further checks in
* that branch are performed. This is an approximation of the Full version, designed
* to save time at the expense of accuracy.
* @param delta The linear delta to check against the threshold
* @param keyFormatter Formatter for printing nonlinear keys during debugging
* @return The set of variable indices in delta whose magnitude is greater than or
* equal to relinearizeThreshold
*/
static FastSet<Key> CheckRelinearizationPartial(const FastVector<ISAM2::sharedClique>& roots,
const VectorValues& delta, const ISAM2Params::RelinearizationThreshold& relinearizeThreshold);
/**
* Recursively search this clique and its children for marked keys appearing
* in the separator, and add the *frontal* keys of any cliques whose
* separator contains any marked keys to the set \c keys. The purpose of
* this is to discover the cliques that need to be redone due to information
* propagating to them from cliques that directly contain factors being
* relinearized.
*
* The original comment says this finds all variables directly connected to
* the marked ones by measurements. Is this true, because it seems like this
* would also pull in variables indirectly connected through other frontal or
* separator variables?
*
* Alternatively could we trace up towards the root for each variable here?
*/
static void FindAll(ISAM2Clique::shared_ptr clique, FastSet<Key>& keys, const FastSet<Key>& markedMask);
/**
* Apply expmap to the given values, but only for indices appearing in
* \c markedRelinMask. Values are expmapped in-place.
* \param [in, out] values The value to expmap in-place
* \param delta The linear delta with which to expmap
* \param ordering The ordering
* \param mask Mask on linear indices, only \c true entries are expmapped
* \param invalidateIfDebug If this is true, *and* NDEBUG is not defined,
* expmapped deltas will be set to an invalid value (infinity) to catch bugs
* where we might expmap something twice, or expmap it but then not
* recalculate its delta.
* @param keyFormatter Formatter for printing nonlinear keys during debugging
*/
static void ExpmapMasked(Values& values, const VectorValues& delta,
const FastSet<Key>& mask,
boost::optional<VectorValues&> invalidateIfDebug = boost::none,
const KeyFormatter& keyFormatter = DefaultKeyFormatter);
/**
* Update the Newton's method step point, using wildfire
*/
static size_t UpdateGaussNewtonDelta(const FastVector<ISAM2::sharedClique>& roots,
const FastSet<Key>& replacedKeys, VectorValues& delta, double wildfireThreshold);
/**
* Update the RgProd (R*g) incrementally taking into account which variables
* have been recalculated in \c replacedKeys. Only used in Dogleg.
*/
static size_t UpdateRgProd(const ISAM2::Roots& roots, const FastSet<Key>& replacedKeys,
const VectorValues& gradAtZero, VectorValues& RgProd);
/**
* Compute the gradient-search point. Only used in Dogleg.
*/
static VectorValues ComputeGradientSearch(const VectorValues& gradAtZero,
const VectorValues& RgProd);
};
}