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Returns the number of columns of the underlying matrix.

Create default parameters with Z-up and above noise parameters

get the dimension of the factor (same as the original factor) */

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* Evaluates the error at a given value of x, * with optional derivatives. * @param x is the current value of the variable * @param H is an op

return a dsf in which all find_set operations will be O(1) due to path compression.

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return the integer version */

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Number of dimensions

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Print.

Resizes the sparse vector to \a rows x \a cols * * This method is provided for compatibility with matrices. * For a column vector, \

\returns the number of rows. \sa cols(), RowsAtCompileTime */

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Default constructor Start a series of r trials:

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Wrap all the source interface files. Args: sources: List of all interface files. main_output: The name for t

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Specify parameters as constructor arguments */

for active set method: equality constraints are always active

* Return the y-coordinate of the intersection of the line with the xy plane. */

Get an arbitrary block from the matrix. Indices are in block units.

\returns a const expression of the diagonal coefficients. */

< Iterator over variables

* Number of additional decimal digits of precision for real relative to * double (0 for float). ********************************************

\internal * Must be called after inserting a set of non zero entries using the low level compressed API. */

\returns the inner size. * * \note For a vector, this is just the size. For a matrix (non-vector), this is the minor dimension * wit

\returns true if the matrix of which *this is the LU decomposition is invertible. * * \note This method has to determine which pivots shou

* Linearize to a GaussianFactor. The AntiFactor always returns a Hessian Factor * with the same Hessian matrices as the original factor (even if

create a new singleton with two connected keys

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* Set the binary precision of a real number. * * @param[in] ndigits the number of bits of precision. * @return the resulting number of

Return position as Vector3

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* @brief Evaluate Real Fourier Weights of size N in interval [a, b], * e.g. N=5 yields bases: 1, cos(x), sin(x), cos(2*x), sin(2*x) *

return DOF, dimensionality of tangent space

Attempt to construct from any GaussianFactor - currently supports JacobianFactor, * HessianFactor, GaussianConditional, or any derived classes.

@return <i>lat1</i> the latitude of point 1 (degrees).

Constructs a read-write Map to a sparse matrix of size \a rows x \a cols, containing \a nnz non-zero coefficients, * stored as a sparse format a

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* Evaluate the centrifugal acceleration in geocentric coordinates. * * @param[in] X geocentric coordinate of point (meters). * @param[i

* Create basis vector, * with one in spot i * @param i index of the one * @return basis vector */