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.
- Introduction to Supervised Machine Learning for Data Science (Q5158414) (← links)
- (Q5159447) (← links)
- Accelerated Molecular Statics Based on Atomic Inertia Effect (Q5162328) (← links)
- On the Convergence of Physics Informed Neural Networks for Linear Second-Order Elliptic and Parabolic Type PDEs (Q5162370) (← links)
- Acoustic full-waveform inversion and its uncertainty estimation based on a vector-version square-root variable metric method (Q5193504) (← links)
- Clustering methods for large scale geometrical global optimization (Q5198058) (← links)
- An accelerated conjugate gradient algorithm with guaranteed descent and conjugacy conditions for unconstrained optimization (Q5200551) (← links)
- Analysis of the gradient method with an Armijo–Wolfe line search on a class of non-smooth convex functions (Q5210738) (← links)
- Diffeomorphic B-spline vector fields with a tractable set of inequalities (Q5226661) (← links)
- A nonmonotone line search for the LBFGS method in parabolic optimal control problems (Q5227207) (← links)
- Expectation propagation for Poisson data (Q5228016) (← links)
- Adaptive, Limited-Memory BFGS Algorithms for Unconstrained Optimization (Q5231665) (← links)
- An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration (Q5231671) (← links)
- Adaptive FISTA for Nonconvex Optimization (Q5235485) (← links)
- Kernel Metrics on Normal Cycles and Application to Curve Matching (Q5266398) (← links)
- Numerical Minimization of Dirichlet Laplacian Eigenvalues of Four-Dimensional Geometries (Q5268994) (← links)
- Fast Reverse-Mode Automatic Differentiation using Expression Templates in C++ (Q5270697) (← links)
- Algorithm 943 (Q5270699) (← links)
- Data Assimilation for Geophysical Fluids: The Diffusive Back and Forth Nudging (Q5272909) (← links)
- On error covariances in variational data assimilation (Q5295318) (← links)
- A limited memory BFGS method for a nonlinear inverse problem in digital breast tomosynthesis (Q5368859) (← links)
- (Q5381111) (← links)
- A New Diagonal Quasi-Newton Updating Method With Scaled Forward Finite Differences Directional Derivative for Unconstrained Optimization (Q5384612) (← links)
- New BFGS method for unconstrained optimization problem based on modified Armijo line search (Q5413886) (← links)
- A proximal subgradient projection algorithm for linearly constrained strictly convex problems (Q5436924) (← links)
- Some descent three-term conjugate gradient methods and their global convergence (Q5436928) (← links)
- A Two-Term PRP-Based Descent Method (Q5438278) (← links)
- New limited memory bundle method for large-scale nonsmooth optimization (Q5460656) (← links)
- Two hybrid nonlinear conjugate gradient methods based on a modified secant equation (Q5495572) (← links)
- A dwindling filter line search method for unconstrained optimization (Q5497020) (← links)
- Identification of Manning's roughness coefficients in channel network using adjoint analysis (Q5697442) (← links)
- Local optima smoothing for global optimization (Q5717532) (← links)
- Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization (Q5737735) (← links)
- A Filter Active-Set Algorithm for Ball/Sphere Constrained Optimization Problem (Q5741070) (← links)
- A dimer-type saddle search algorithm with preconditioning and linesearch (Q5741498) (← links)
- Sliding‐window hybrid quasi‐Newton algorithm‐trained MBER equalisers (Q5743756) (← links)
- Smoothing method for minimizing the sum of the<i>r</i>largest functions (Q5758222) (← links)
- Application of machine learning in low-order manifold representation of chemistry in turbulent flames (Q5878113) (← links)
- Training a Neural-Network-Based Surrogate Model for Aerodynamic Optimisation Using a Gaussian Process (Q5880409) (← links)
- Mathematical optimization in intensity modulated radiation therapy (Q5900895) (← links)
- Mathematical optimization in intensity modulated radiation therapy (Q5902146) (← links)
- A new nonmonotone line search technique for unconstrained optimization (Q5919724) (← links)
- The analysis of an ill-posed problem using multi-scale resolution and second-order adjoint techniques (Q5928393) (← links)
- A functional optimization approach to an inverse magneto-convection problem. (Q5928400) (← links)
- Adjoint implementation of Rosenbrock methods applied to variational data assimilation problems. (Q5928905) (← links)
- Solving large nonlinear generalized eigenvalue problems from density functional theory calculations in parallel (Q5932824) (← links)
- Fast matrix computations for functional additive models (Q5963540) (← links)
- A deep learning method for solving high-order nonlinear soliton equations (Q6039957) (← links)
- Non-asymptotic superlinear convergence of standard quasi-Newton methods (Q6044985) (← links)
- A unified scalable framework for causal sweeping strategies for physics-informed neural networks (PINNs) and their temporal decompositions (Q6048429) (← links)