The following pages link to LBFGS-B (Q17282):
Displaying 50 items.
- Limitations and performance of three approaches to Bayesian inference for Gaussian copula regression models of discrete data (Q2135899) (← links)
- Additive models with autoregressive symmetric errors based on penalized regression splines (Q2135912) (← links)
- Characterizations of non-normalized discrete probability distributions and their application in statistics (Q2136641) (← links)
- A greedy algorithm for optimal heating in powder-bed-based additive manufacturing (Q2138222) (← links)
- An outlier-resistant \(\kappa\)-generalized approach for robust physical parameter estimation (Q2145013) (← links)
- LMBOPT: a limited memory method for bound-constrained optimization (Q2146448) (← links)
- Parameter calibration between models and simulations: connecting linear and non-linear descriptions of anomalous diffusion (Q2153188) (← links)
- Kernel density approach to error estimation of MF-DFA measures on time series (Q2160057) (← links)
- Modeling and simulation studies for some truncated discrete distributions generated by stable densities (Q2161559) (← links)
- High-resolution neural texture synthesis with long-range constraints (Q2163346) (← links)
- An active set trust-region method for bound-constrained optimization (Q2169274) (← links)
- Limited memory BFGS algorithm for the matrix approximation problem in Frobenius norm (Q2176186) (← links)
- Bayesian model-scenario averaged predictions of compressor cascade flows under uncertain turbulence models (Q2176864) (← links)
- Adaptive mesh refinement for topology optimization with discrete geometric components (Q2180450) (← links)
- Three-dimensional traction microscopy accounting for cell-induced matrix degradation (Q2180460) (← links)
- A Lagrangian formulation for interacting particles on a deformable medium (Q2180471) (← links)
- Next-day operating room scheduling with uncertain surgery durations: exact analysis and heuristics (Q2184090) (← links)
- Greedy low-rank algorithm for spatial connectome regression (Q2184210) (← links)
- Computing the halfspace depth with multiple try algorithm and simulated annealing algorithm (Q2184405) (← links)
- A novel projected gradient-like method for optimization problems with simple constraints (Q2190861) (← links)
- Open-loop optimal control of a flapping wing using an adjoint lattice Boltzmann method (Q2192531) (← links)
- Spatiotemporal deformable prototypes for motion anomaly detection (Q2193767) (← links)
- Structured learning of binary codes with column generation for optimizing ranking measures (Q2193865) (← links)
- A minimal contrast estimator for the linear fractional stable motion (Q2194054) (← links)
- A new mixture model on the simplex (Q2195822) (← links)
- A Laplace-based algorithm for Bayesian adaptive design (Q2209698) (← links)
- An augmented Lagrangian filter method (Q2216190) (← links)
- High-dimensional Bayesian optimization using low-dimensional feature spaces (Q2217451) (← links)
- A transition model for analyzing multivariate longitudinal data using Gaussian copula approach (Q2218560) (← links)
- Scaled projected-directions methods with application to transmission tomography (Q2218907) (← links)
- Deep learning of dynamics and signal-noise decomposition with time-stepping constraints (Q2222431) (← links)
- Smoothing and parameter estimation by soft-adherence to governing equations (Q2222551) (← links)
- Global optimization for data assimilation in landslide tsunami models (Q2222990) (← links)
- Adhesion behavior of an extensible soft thin film-substrate system based on finite deformation theory (Q2224658) (← links)
- Incremental DC optimization algorithm for large-scale clusterwise linear regression (Q2226259) (← links)
- \texttt{MADAM}: a parallel exact solver for max-cut based on semidefinite programming and ADMM (Q2231040) (← links)
- Non-negative moment fitting quadrature rules for fictitious domain methods (Q2234890) (← links)
- A gauge-fixing procedure for spherical fluid membranes and application to computations (Q2237002) (← links)
- Solving inverse problems in stochastic models using deep neural networks and adversarial training (Q2237477) (← links)
- Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations (Q2238668) (← links)
- Search for weights in the problem of finite-rank signal estimation in the presence of random noise (Q2239077) (← links)
- Directed particle swarm optimization with Gaussian-process-based function forecasting (Q2239855) (← links)
- Bayesian optimization of variable-size design space problems (Q2245699) (← links)
- Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian processes (Q2246340) (← links)
- Learning viscoelasticity models from indirect data using deep neural networks (Q2246355) (← links)
- Globally convergent DC trust-region methods (Q2250078) (← links)
- Sequential event prediction (Q2251444) (← links)
- Reduced-rank spatio-temporal modeling of air pollution concentrations in the multi-ethnic study of atherosclerosis and air pollution (Q2258600) (← links)
- A proximal gradient descent method for the extended second-order cone linear complementarity problem (Q2268076) (← links)
- An adjoint method for shape optimization in unsteady viscous flows (Q2270049) (← links)
