Lines Matching refs:jacobian
54 // squares objective. This insulates the optimizer from issues like Jacobian
75 // This is used for computing the cost, residual and Jacobian for
80 // The residual, gradients and jacobian pointers can be NULL, in
98 CRSMatrix* jacobian);
100 // Build and return a sparse matrix for storing and working with the Jacobian
101 // of the objective function. The jacobian has dimensions
103 // sparse. Since the sparsity pattern of the Jacobian remains constant over
113 // the jacobian for use with CHOLMOD, where as BlockOptimizationProblem
114 // creates a BlockSparseMatrix representation of the jacobian for use in the
131 // residuals, and jacobian in the corresponding arguments. Both residuals and
132 // jacobian are optional; to avoid computing them, pass NULL.
134 // If non-NULL, the Jacobian must have a suitable sparsity pattern; only the
135 // values array of the jacobian is modified.
144 SparseMatrix* jacobian) = 0;
153 SparseMatrix* jacobian) {
159 jacobian);
