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error_vector

release/4.3a0
Frank Dellaert 2009-12-11 17:42:54 +00:00
parent abc268a13d
commit f91a1f0192
2 changed files with 17 additions and 14 deletions
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30
cpp/GaussianFactor.cpp
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@ -126,14 +126,19 @@ bool GaussianFactor::equals(const Factor<VectorConfig>& f, double tol) const {
} }
/* ************************************************************************* */ /* ************************************************************************* */
// we might have multiple As, so iterate and subtract from b Vector GaussianFactor::error_vector(const VectorConfig& c) const {
double GaussianFactor::error(const VectorConfig& c) const { Vector e = -b_;
if (empty()) return 0; if (empty()) return e;
Vector e = b_;
string j; Matrix Aj; string j; Matrix Aj;
FOREACH_PAIR(j, Aj, As_) FOREACH_PAIR(j, Aj, As_)
e -= Vector(Aj * c[j]); e += Vector(Aj * c[j]);
Vector weighted = ediv(e,sigmas_); return ediv(e,sigmas_);
}
/* ************************************************************************* */
double GaussianFactor::error(const VectorConfig& c) const {
if (empty()) return 0;
Vector weighted = error_vector(c);
return 0.5 * inner_prod(weighted,weighted); return 0.5 * inner_prod(weighted,weighted);
} }
@ -361,17 +366,14 @@ GaussianFactor::eliminate(const string& key) const
/* ************************************************************************* */ /* ************************************************************************* */
void GaussianFactor::addGradientContribution(const VectorConfig& x, VectorConfig& g) const { void GaussianFactor::addGradientContribution(const VectorConfig& x, VectorConfig& g) const {
// calculate the value of the factor // calculate the value of the factor
Vector e = -b_; Vector e = GaussianFactor::error_vector(x);
string j; Matrix Aj; Vector et = trans(e); // transpose
FOREACH_PAIR(j, Aj, As_) e += Aj * x[j];
// transpose
Vector et = trans(e);
// contribute to gradient for each connected variable // contribute to gradient for each connected variable
string j; Matrix Aj;
FOREACH_PAIR(j, Aj, As_) { FOREACH_PAIR(j, Aj, As_) {
Vector dj = trans(et*Aj); // this factor's contribution to gradient on j Vector dj = trans(et*Aj); // this factor's contribution to gradient on j
Vector wdj = ediv(dj,emul(sigmas_,sigmas_)); // properly weight by sigmas Vector wdj = ediv(dj,sigmas_); // properly weight by sigmas
g.add(j,wdj); g.add(j,wdj);
} }
} }

1
cpp/GaussianFactor.h
View File

@ -117,6 +117,7 @@ public:
// Implementing Factor virtual functions // Implementing Factor virtual functions
Vector error_vector(const VectorConfig& c) const; /** (A*x-b)/sigma */
double error(const VectorConfig& c) const; /** 0.5*(A*x-b)'*D*(A*x-b) */ double error(const VectorConfig& c) const; /** 0.5*(A*x-b)'*D*(A*x-b) */
std::size_t size() const { return As_.size();} std::size_t size() const { return As_.size();}