Pages that link to "Item:Q911463"
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The following pages link to On the limited memory BFGS method for large scale optimization (Q911463):
Displaying 50 items.
- Wasserstein generative adversarial uncertainty quantification in physics-informed neural networks (Q2671386) (← links)
- A deep learning energy method for hyperelasticity and viscoelasticity (Q2671703) (← links)
- A modified conjugate gradient method based on the self-scaling memoryless BFGS update (Q2672717) (← links)
- Output-based error estimation and mesh adaptation for unsteady turbulent flow simulations (Q2674074) (← links)
- A limited-memory Riemannian symmetric rank-one trust-region method with a restart strategy (Q2674265) (← links)
- Limited memory BFGS method for least squares semidefinite programming with banded structure (Q2674941) (← links)
- Parabolic interface reconstruction for 2D volume of fluid methods (Q2675583) (← links)
- Solving stochastic optimal control problem via stochastic maximum principle with deep learning method (Q2676795) (← links)
- A-WPINN algorithm for the data-driven vector-soliton solutions and parameter discovery of general coupled nonlinear equations (Q2677793) (← links)
- Kolmogorov n-width and Lagrangian physics-informed neural networks: a causality-conforming manifold for convection-dominated PDEs (Q2678525) (← links)
- Statistically equivalent surrogate material models: impact of random imperfections on the elasto-plastic response (Q2679290) (← links)
- Adjoint-based optimization of two-dimensional Stefan problems (Q2683099) (← links)
- An SQP-based multiple shooting algorithm for large-scale PDE-constrained optimal control problems (Q2683230) (← links)
- Isogeometric neural networks: a new deep learning approach for solving parameterized partial differential equations (Q2683423) (← links)
- Physics-informed neural network methods based on Miura transformations and discovery of new localized wave solutions (Q2683577) (← links)
- Data-driven forward-inverse problems for Yajima-Oikawa system using deep learning with parameter regularization (Q2684140) (← links)
- Time difference physics-informed neural network for fractional water wave models (Q2690093) (← links)
- Adversarial classification via distributional robustness with Wasserstein ambiguity (Q2693647) (← links)
- Physics-informed neural networks based on adaptive weighted loss functions for Hamilton-Jacobi equations (Q2694112) (← links)
- Secant penalized BFGS: a noise robust quasi-Newton method via penalizing the secant condition (Q2696921) (← links)
- DFT-FE - a massively parallel adaptive finite-element code for large-scale density functional theory calculations (Q2698744) (← links)
- Free energy calculations by molecular simulations of deformed polymer glasses (Q2698840) (← links)
- KSSOLV 2.0: an efficient Matlab toolbox for solving the Kohn-Sham equations with plane-wave basis set (Q2700744) (← links)
- A limited memory quasi-Newton approach for multi-objective optimization (Q2701416) (← links)
- Computational experiments with scaled initial hessian approximation for the broyden family methods<sup>∗</sup> (Q2709452) (← links)
- Special issue: GAMM 2000. Annual meeting. Short communications in mathematics and mechanics, section 9-25. Univ. of Göttingen, Germany, April 2--7, 2000 (Q2746199) (← links)
- A variable metric method for approximating generalized inverses of matrices (Q2747483) (← links)
- Adaptive limited memory bundle method for bound constrained large-scale nonsmooth optimization (Q2786335) (← links)
- Global convergence of online limited memory BFGS (Q2788401) (← links)
- Patch ordering as a regularization for inverse problems in image processing (Q2797782) (← links)
- Composing scalable nonlinear algebraic solvers (Q2808260) (← links)
- Geometric self-assembly of rigid shapes: a simple Voronoi approach (Q2814298) (← links)
- Linear convergence of descent methods for the unconstrained minimization of restricted strongly convex functions (Q2821800) (← links)
- Computing eigenvalues of large scale sparse tensors arising from a hypergraph (Q2833535) (← links)
- A modified limited memory BFGS method for large-scale optimization (Q2860281) (← links)
- A modified two-point stepsize gradient algorithm for unconstrained minimization (Q2867423) (← links)
- An active-set projected trust-region algorithm with limited memory BFGS technique for box-constrained nonsmooth equations (Q2868903) (← links)
- Effect of random perturbations on adaptive observation techniques (Q2884061) (← links)
- A class of LBFGS-type algorithms for large-scale unconstrained optimization (Q2887153) (← links)
- A dual-weighted trust-region adaptive POD 4-D var applied to a finite-volume shallow water equations model on the sphere (Q2893575) (← links)
- A trust region subspace method for large-scale unconstrained optimization (Q2920366) (← links)
- Damped techniques for enforcing convergence of quasi-Newton methods (Q2926060) (← links)
- Broyden's quasi-Newton methods for a nonlinear system of equations and unconstrained optimization: a review and open problems (Q2926061) (← links)
- Shifted L-BFGS systems (Q2926066) (← links)
- A Modified Non-Monotone BFGS Method for Non-Convex Unconstrained Optimization (Q2931168) (← links)
- Directed Principal Component Analysis (Q2931712) (← links)
- A nonmonotone ODE-based method for unconstrained optimization (Q2935398) (← links)
- A modified limited-memory BNS method for unconstrained minimization based on the conjugate directions idea (Q2943838) (← links)
- A Nonmonotone Filter SQP Method: Local Convergence and Numerical Results (Q2949516) (← links)
- Positive Definite Matrices: Data Representation and Applications to Computer Vision (Q2954277) (← links)
