The following pages link to LBFGS-B (Q17282):
Displaying 50 items.
- Identification of the anti-diffusion coefficient for the linear Kuramoto-Sivashinsky equation (Q1995894) (← links)
- Parallel two-phase methods for global optimization on GPU (Q1997322) (← links)
- A spatial Markovian framework for estimating regional and local dynamics of annual plants with dormancy (Q1999498) (← links)
- Solving fluid flow domain identification problems with adjoint lattice Boltzmann methods (Q2004454) (← links)
- A generalization of the power law distribution with nonlinear exponent (Q2004802) (← links)
- Are `water smart landscapes' contagious? An epidemic approach on networks to study peer effects (Q2005758) (← links)
- Global convergence of a modified two-parameter scaled BFGS method with Yuan-Wei-Lu line search for unconstrained optimization (Q2007164) (← links)
- Composite likelihood estimation for a Gaussian process under fixed domain asymptotics (Q2008225) (← links)
- Local inversion-free estimation of spatial Gaussian processes (Q2008608) (← links)
- Low-rank approximations for computing observation impact in 4D-Var data assimilation (Q2013720) (← links)
- Gradient-based methods for uncertainty quantification in hypersonic flows (Q2015969) (← links)
- A hybrid algorithm for solving inverse problems in elasticity (Q2018413) (← links)
- The statistical finite element method (statFEM) for coherent synthesis of observation data and model predictions (Q2022037) (← links)
- Local robust estimation of Pareto-type tails with random right censoring (Q2023827) (← links)
- pyvine: the Python package for regular vine copula modeling, sampling and testing (Q2023903) (← links)
- Approximate solution of system of equations arising in interior-point methods for bound-constrained optimization (Q2028460) (← links)
- Optimization problems for machine learning: a survey (Q2029894) (← links)
- Semi-parametric estimation of multivariate extreme expectiles (Q2034472) (← links)
- Bayesian inversion of a diffusion model with application to biology (Q2040282) (← links)
- Multivariate distributions of correlated binary variables generated by pair-copulas (Q2040911) (← links)
- Compact representations of structured BFGS matrices (Q2044571) (← links)
- Automated data-driven selection of the hyperparameters for total-variation-based texture segmentation (Q2051545) (← links)
- LAQP: learning-based approximate query processing (Q2055585) (← links)
- Discriminator feature-based inference by recycling the discriminator of GANs (Q2056085) (← links)
- Optimally weighted loss functions for solving PDEs with neural networks (Q2068635) (← links)
- A sequential quadratic Hamiltonian algorithm for training explicit RK neural networks (Q2068636) (← links)
- A limited memory BFGS subspace algorithm for bound constrained nonsmooth problems (Q2069440) (← links)
- Algorithms of data generation for deep learning and feedback design: a survey (Q2077720) (← links)
- Hermite-discontinuous Galerkin overset grid methods for the scalar wave equation (Q2077780) (← links)
- Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series (Q2080360) (← links)
- Modeling right-skewed heavy-tail right-censored survival data with application to HIV viral load (Q2089376) (← links)
- Parameter estimates of the 2016--2017 Zika outbreak in Costa Rica: an approximate Bayesian computation (ABC) approach (Q2091930) (← links)
- The variational quantum eigensolver: a review of methods and best practices (Q2092477) (← links)
- A unified neural network framework for extended redundancy analysis (Q2103579) (← links)
- A bivariate extension of the omega distribution for two-dimensional proportional data (Q2105735) (← links)
- Compact data encoding for data re-uploading quantum classifier (Q2107011) (← links)
- A reduced proximal-point homotopy method for large-scale non-convex BQP (Q2114822) (← links)
- Multi-phase algorithm design for accurate and efficient model fitting (Q2115821) (← links)
- Probabilistic models of \(k\)-mer frequencies (extended abstract) (Q2117786) (← links)
- A tutorial on optimal control and reinforcement learning methods for quantum technologies (Q2119346) (← links)
- An inverse eikonal method for identifying ventricular activation sequences from epicardial activation maps (Q2125469) (← links)
- A probabilistic approach to restore images acquired in underwater scenes (Q2127278) (← links)
- Learning constitutive relations using symmetric positive definite neural networks (Q2128348) (← links)
- Solving the linear transport equation by a deep neural network approach (Q2129138) (← links)
- Physics-informed neural networks for solving forward and inverse flow problems via the Boltzmann-BGK formulation (Q2133495) (← links)
- Parallel physics-informed neural networks via domain decomposition (Q2133497) (← links)
- Hybrid FEM-NN models: combining artificial neural networks with the finite element method (Q2133536) (← links)
- A parallel-in-time multiple shooting algorithm for large-scale PDE-constrained optimal control problems (Q2133606) (← links)
- Global-local non intrusive analysis with Robin parameters: application to plastic hardening behavior and crack propagation in 2D and 3D structures (Q2133871) (← links)
- A functional-data approach to the Argo data (Q2135351) (← links)
