Pages that link to "Item:Q911463"

The following pages link to On the limited memory BFGS method for large scale optimization (Q911463):

Displaying 50 items.

• A robust implementation of a sequential quadratic programming algorithm with successive error restoration (Q537640) (← links)
• Locating a nearest matrix with an eigenvalue of prespecified algebraic multiplicity (Q537877) (← links)
• A new globalization technique for nonlinear conjugate gradient methods for nonconvex minimization (Q555476) (← links)
• Greedy vacancy search algorithm for packing equal circles in a square (Q613329) (← links)
• A non-monotone line search algorithm for unconstrained optimization (Q618548) (← links)
• An active set strategy based on the multiplier function or the gradient. (Q622855) (← links)
• A heuristic approach for packing identical rectangles in convex regions (Q632680) (← links)
• \(n\)-step quadratic convergence of the MPRP method with a restart strategy (Q633952) (← links)
• Inversion of three-dimensional tidal currents in marginal seas by assimilating satellite altimetry (Q643871) (← links)
• Mechanical properties and deformation morphologies of covalently bridged multi-walled carbon nanotubes: multiscale modeling (Q645763) (← links)
• An extended finite element method for dislocations in complex geometries: thin films and nanotubes (Q649434) (← links)
• A variational formulation for finite deformation wrinkling analysis of inelastic membranes (Q649461) (← links)
• Computation of the analysis error covariance in variational data assimilation problems with nonlinear dynamics (Q655076) (← links)
• Variationally consistent modeling of finite strain plasticity theory with nonlinear kinematic hardening (Q658897) (← links)
• An adjoint-based Jacobi-type iterative method for elastic full waveform inversion problem (Q669640) (← links)
• Properties of the block BFGS update and its application to the limited-memory block BNS method for unconstrained minimization (Q670492) (← links)
• A hybrid ODE-based method for unconstrained optimization problems (Q694546) (← links)
• Observation targeting with a second-order adjoint method for increased predictability (Q695706) (← links)
• An atomistic-based boundary element method for the reduction of molecular statics models (Q695861) (← links)
• Extra-updates criterion for the limited memory BFGS algorithm for large scale nonlinear optimization (Q700177) (← links)
• The structure of atomic and molecular clusters, optimised using classical potentials (Q709966) (← links)
• Scaled memoryless symmetric rank one method for large-scale optimization (Q720629) (← links)
• Solving forward and inverse problems of the logarithmic nonlinear Schrödinger equation with \(\mathcal{PT}\)-symmetric harmonic potential via deep learning (Q822569) (← links)
• Herd immunity levels and multi-strain influenza epidemics in Russia: a modelling study (Q825906) (← links)
• Hessian initialization strategies for \(\ell \)-BFGS solving non-linear inverse problems (Q826172) (← links)
• Variational models for signal processing with graph neural networks (Q826200) (← links)
• Subspace methods for large scale nonlinear equations and nonlinear least squares (Q833458) (← links)
• A novel variational algorithmic formulation for wrinkling at finite strains based on energy minimization: application to mesh adaption (Q839290) (← links)
• Compressed history matching: Exploiting transform-domain sparsity for regularization of nonlinear dynamic data integration problems (Q848925) (← links)
• Sufficient descent nonlinear conjugate gradient methods with conjugacy condition (Q849150) (← links)
• Global convergence properties of the two new dependent Fletcher-Reeves conjugate gradient methods (Q856066) (← links)
• A trust-region algorithm for global optimization (Q861513) (← links)
• A new class of supermemory gradient methods (Q865511) (← links)
• Globally convergent limited memory bundle method for large-scale nonsmooth optimization (Q868454) (← links)
• A compact limited memory method for large scale unconstrained optimization (Q869145) (← links)
• A scaled BFGS preconditioned conjugate gradient algorithm for unconstrained optimization (Q878996) (← links)
• A population-based approach for hard global optimization problems based on dissimilarity measures (Q879969) (← links)
• Extra multistep BFGS updates in quasi-Newton methods (Q884227) (← links)
• Adjoint-free calculation method for conditional nonlinear optimal perturbations (Q887056) (← links)
• Island models for cluster geometry optimization: how design options impact effectiveness and diversity (Q897050) (← links)
• A new regularized limited memory BFGS-type method based on modified secant conditions for unconstrained optimization problems (Q897051) (← links)
• A novel homogenization method for phase field approaches based on partial rank-one relaxation (Q904751) (← links)
• An active-set projected trust region algorithm for box constrained optimization problems (Q905153) (← links)
• Some numerical experiments with variable-storage quasi-Newton algorithms (Q909585) (← links)
• An active set limited memory BFGS algorithm for large-scale bound constrained optimization (Q929334) (← links)
• Sparse quasi-Newton updates with positive definite matrix completion (Q930341) (← links)
• Discrete second order adjoints in atmospheric chemical transport modeling (Q939469) (← links)
• Applications of nonlinear optimization method to numerical studies of atmospheric and oceanic sciences (Q939903) (← links)
• Modified subspace limited memory BFGS algorithm for large-scale bound constrained optimization (Q955062) (← links)
• Large-scale Kalman filtering using the limited memory BFGS method (Q964112) (← links)