
LBFGS
 Referenced in 805 articles
[sw03229]
 problems in which information on the Hessian matrix is difficult to obtain, or for large...

LBFGSB
 Referenced in 414 articles
[sw05142]
 problems in which information on the Hessian matrix is difficult to obtain, or for large...

LBFGSB
 Referenced in 200 articles
[sw01234]
 problems in which information on the Hessian matrix is difficult to obtain, or for large...

CMAES
 Referenced in 121 articles
[sw05063]
 conditioned. Adaptation of the covariance matrix amounts to learning a second order model ... approximation of the inverse Hessian matrix in the QuasiNewton method in classical optimization...

SURF
 Referenced in 183 articles
[sw29761]
 descriptors (in casu, using a Hessian matrixbased measure for the detector, and a distribution...

CONLIN
 Referenced in 47 articles
[sw14151]
 usually reasonably small. Clearly, the Hessian matrix does not need to be inverted...

DiffSharp
 Referenced in 60 articles
[sw16033]
 gradients, Hessians, Jacobians, directional derivatives, and matrixfree Hessian and Jacobianvector products) is applied...

ADMAT
 Referenced in 31 articles
[sw04864]
 computing derivative structures including gradients, Jacobians, and Hessians. Moreover, ADMAT 2.0 can directly calculate Newton ... appropriate, ADMAT 2.0 will evaluate the Jacobian matrix (for which ... gradient is a special case), the Hessian matrix, and possibly the Newton step in addition...

LSTRS
 Referenced in 32 articles
[sw04729]
 problem at each step. LSTRS relies on matrixvector products only ... computations. In the MATLAB implementation, the Hessian matrix of the quadratic objective function...

INTLAB
 Referenced in 471 articles
[sw04004]
 Gradients (to solve systems of nonlinear equations) Hessians (for global optimization) Taylor series for univariate ... inner inclusions) accurate summation, dot product and matrixvector residuals (interpreted, reference implementation, slow) multiple...

PADRE2
 Referenced in 14 articles
[sw00667]
 gradient, the product of the Hessian matrix and a constant vector, and the product...

hess_pat
 Referenced in 8 articles
[sw11167]
 computing a sparsity pattern for a Hessian is presented: nonlinearity information is propagated through ... applied to compute a seed matrix ... evaluate the product of the Hessian and the seed matrix, a vector version for evaluating...

blockSQP
 Referenced in 3 articles
[sw31780]
 limited toproblems whose Hessian matrix has blockdiagonal structure such as problems arising from ... Biegler that can also handle indefinite Hessian approximations...

FBstab
 Referenced in 3 articles
[sw33418]
 infeasibility/unboundedness and requires only that the Hessian matrix be positive semidefinite. We outline the algorithm...

BQPD
 Referenced in 1 article
[sw06198]
 linear programming problems. If the Hessian matrix Q is positive definite, then a global solution ... basis matrix. Factors of the reduced Hessian matrix are stored in a dense format ... supply a subroutine to evaluate the Hessian matrix Q, so that sparsity...

CTA
 Referenced in 2 articles
[sw09373]
 factorization of the sparse Hessian matrix and handling a nonpositive definite Hessian. This paper...

SLMQN
 Referenced in 2 articles
[sw00879]
 those large problems in which the Hessian matrix is difficult to compute or is dense...

lbfgs
 Referenced in 2 articles
[sw26415]
 iteratively computing approximations of the inverse Hessian matrix. The OWLQN algorithm finds the optimum...

RTRMC
 Referenced in 43 articles
[sw20435]
 RTRMC : Lowrank matrix completion via preconditioned optimization on the Grassmann manifold. We address ... solve it. A preconditioner for the Hessian is introduced that helps control the conditioning ... well suited to solve badly conditioned matrix completion tasks...

QPSchur
 Referenced in 16 articles
[sw06918]
 quadratic programming (QP) with positive definite Hessians. The formulation of the QP being solved ... abstracted away behind a fixed KKT matrix called $K_{o}$ and other problem matrices, which ... dual Schur complement method requires the projected Hessian to be positive definite for every working...