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wrap smart flags for various noise models

release/4.3a0
Varun Agrawal 2021-09-05 11:49:15 -04:00
parent 9bc3c0b6a0
commit 617014f271
1 changed files with 9 additions and 9 deletions
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18
gtsam/linear/linear.i
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@ -16,9 +16,9 @@ virtual class Base {
};
virtual class Gaussian : gtsam::noiseModel::Base {
static gtsam::noiseModel::Gaussian* Information(Matrix R);
static gtsam::noiseModel::Gaussian* SqrtInformation(Matrix R);
static gtsam::noiseModel::Gaussian* Covariance(Matrix R);
static gtsam::noiseModel::Gaussian* Information(Matrix R, bool smart = true);
static gtsam::noiseModel::Gaussian* SqrtInformation(Matrix R, bool smart = true);
static gtsam::noiseModel::Gaussian* Covariance(Matrix R, bool smart = true);
bool equals(gtsam::noiseModel::Base& expected, double tol);
@ -37,9 +37,9 @@ virtual class Gaussian : gtsam::noiseModel::Base {
};
virtual class Diagonal : gtsam::noiseModel::Gaussian {
static gtsam::noiseModel::Diagonal* Sigmas(Vector sigmas);
static gtsam::noiseModel::Diagonal* Variances(Vector variances);
static gtsam::noiseModel::Diagonal* Precisions(Vector precisions);
static gtsam::noiseModel::Diagonal* Sigmas(Vector sigmas, bool smart = true);
static gtsam::noiseModel::Diagonal* Variances(Vector variances, bool smart = true);
static gtsam::noiseModel::Diagonal* Precisions(Vector precisions, bool smart = true);
Matrix R() const;
// access to noise model
@ -69,9 +69,9 @@ virtual class Constrained : gtsam::noiseModel::Diagonal {
};
virtual class Isotropic : gtsam::noiseModel::Diagonal {
static gtsam::noiseModel::Isotropic* Sigma(size_t dim, double sigma);
static gtsam::noiseModel::Isotropic* Variance(size_t dim, double varianace);
static gtsam::noiseModel::Isotropic* Precision(size_t dim, double precision);
static gtsam::noiseModel::Isotropic* Sigma(size_t dim, double sigma, bool smart = true);
static gtsam::noiseModel::Isotropic* Variance(size_t dim, double varianace, bool smart = true);
static gtsam::noiseModel::Isotropic* Precision(size_t dim, double precision, bool smart = true);
// access to noise model
double sigma() const;