Pages that link to "Item:Q911463"

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

Displaying 48 items.

• A performance analysis of Basin Hopping compared to established metaheuristics for global optimization (Q6568957) (← links)
• The line rogue wave solutions of the nonlocal Davey-Stewartson I equation with \textit{PT} symmetry based on the improved physics-informed neural network (Q6571797) (← links)
• Uniform flow in axisymmetric devices through permeability optimization (Q6572708) (← links)
• Subgradient regularized multivariate convex regression at scale (Q6573015) (← links)
• PINN enhanced extended multiscale finite element method for fast mechanical analysis of heterogeneous materials (Q6576389) (← links)
• Another Hager-Zhang-type method via singular-value study for constrained monotone equations with application (Q6582394) (← links)
• A gradient-enhanced physics-informed neural networks method for the wave equation (Q6583846) (← links)
• A branch-and-bound algorithm with growing datasets for large-scale parameter estimation (Q6586253) (← links)
• Training adaptive reconstruction networks for blind inverse problems (Q6587645) (← links)
• Phase-field modeling of fracture with physics-informed deep learning (Q6588261) (← links)
• Multilevel domain decomposition-based architectures for physics-informed neural networks (Q6588267) (← links)
• Variational temporal convolutional networks for I-FENN thermoelasticity (Q6588274) (← links)
• Phase field smoothing-PINN: a neural network solver for partial differential equations with discontinuous coefficients (Q6590262) (← links)
• Extremization to fine tune physics informed neural networks for solving boundary value problems (Q6591803) (← links)
• Discontinuous polynomial approximation in electrical impedance tomography with total variational regularization (Q6591839) (← links)
• Hypergraph-based convex semi-supervised unconstraint symmetric matrix factorization for image clustering (Q6595309) (← links)
• Exact enforcement of temporal continuity in sequential physics-informed neural networks (Q6595862) (← links)
• Physics-specialized neural network with hard constraints for solving multi-material diffusion problems (Q6595894) (← links)
• Skyrmion crystals in the triangular Kondo lattice model (Q6597747) (← links)
• Numerical analysis of physics-informed neural networks and related models in physics-informed machine learning (Q6598418) (← links)
• Particle swarm optimization for searching efficient experimental designs: a review (Q6602374) (← links)
• New subspace method for unconstrained derivative-free optimization (Q6604149) (← links)
• Interpretable physics-encoded finite element network to handle concentration features and multi-material heterogeneity in hyperelasticity (Q6609781) (← links)
• Generalized functional linear model with a point process predictor (Q6618446) (← links)
• A short note on solving partial differential equations using convolutional neural networks (Q6620254) (← links)
• Enhancing training of physics-informed neural networks using domain decomposition-based preconditioning strategies (Q6623675) (← links)
• Short-time large deviations of the spatially averaged height of a Kardar-Parisi-Zhang interface on a ring (Q6625288) (← links)
• Quantitative analysis of nonlinear multifidelity optimization for inverse electrophysiology (Q6630091) (← links)
• Robust Low-Rank Tensor Decomposition with the L ₂ Criterion (Q6631163) (← links)
• Function-on-Function Kriging, With Applications to Three-Dimensional Printing of Aortic Tissues (Q6631898) (← links)
• Convergent least-squares optimization methods for variational data assimilation (Q6632229) (← links)
• Novel localized wave of modified Kadomtsev-Petviashvili equation (Q6632888) (← links)
• An extended version of the memoryless DFP algorithm with the sufficient descent property (Q6634291) (← links)
• No dimension-free deterministic algorithm computes approximate stationarities of Lipschitzians (Q6634520) (← links)
• Tuning parameters of deep neural network training algorithms pays off: a computational study (Q6635854) (← links)
• Ensemble of physics-informed neural networks for solving plane elasticity problems with examples (Q6639905) (← links)
• A probability constrained dynamic switching optimization method for the energy dispatch strategy of hybrid power systems with renewable energy resources and uncertainty (Q6643192) (← links)
• Effective matrix adaptation strategy for noisy derivative-free optimization (Q6645950) (← links)
• A novel phase-field monolithic scheme for brittle crack propagation based on the limited-memory BFGS method with adaptive mesh refinement (Q6648572) (← links)
• Quantum phases of hardcore bosons with repulsive dipolar density-density interactions on two-dimensional lattices (Q6649162) (← links)
• Prediction of spatiotemporal dynamics using deep learning: coupled neural networks of long short-terms memory, auto-encoder and physics-informed neural networks (Q6650113) (← links)
• A proximal stochastic quasi-Newton algorithm with dynamical sampling and stochastic line search (Q6655883) (← links)
• A family of limited memory three term conjugate gradient methods (Q6661110) (← links)
• I-FENN for thermoelasticity based on physics-informed temporal convolutional network (PI-TCN) (Q6661937) (← links)
• Numerical approximation of Dynkin games with asymmetric information (Q6663107) (← links)
• Structured optimization-based model order reduction for parametric systems (Q6663230) (← links)
• SketchySGD: reliable stochastic optimization via randomized curvature estimates (Q6664471) (← links)
• Be greedy and learn: efficient and certified algorithms for parametrized optimal control problems (Q6667327) (← links)