Pages that link to "Item:Q911463"

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

Displaying 50 items.

• Optimal parameters identification and sensitivity study for abrasive waterjet milling model (Q4638141) (← links)
• A modified Hestense–Stiefel conjugate gradient method close to the memoryless BFGS quasi-Newton method (Q4638925) (← links)
• Block BFGS Methods (Q4641646) (← links)
• A Regularized Factorization-Free Method for Equality-Constrained Optimization (Q4641674) (← links)
• Optimization Methods for Large-Scale Machine Learning (Q4641709) (← links)
• A family of quasi-Newton methods for unconstrained optimization problems (Q4646526) (← links)
• A limited-memory quasi-Newton algorithm for bound-constrained non-smooth optimization (Q4646678) (← links)
• Quasi-Newton methods: superlinear convergence without line searches for self-concordant functions (Q4646680) (← links)
• Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling (Q4647131) (← links)
• A new class of memory gradient methods with inexact line searches (Q4675852) (← links)
• An Algorithm for Optimal Transport between a Simplex Soup and a Point Cloud (Q4689764) (← links)
• A three‐dimensional numerical internal tidal model involving adjoint method (Q4898055) (← links)
• ACCELERATING GENERALIZED ITERATIVE SCALING BASED ON STAGGERED AITKEN METHOD FOR ON-LINE CONDITIONAL RANDOM FIELDS (Q4910879) (← links)
• MORPHING OF TRIANGULAR MESHES IN SHAPE SPACE (Q4923352) (← links)
• A class of diagonal preconditioners for limited memory BFGS method (Q4924122) (← links)
• (Q4969074) (← links)
• (Q4969198) (← links)
• A robust multi-batch L-BFGS method for machine learning (Q4972551) (← links)
• Towards a parallel component in a GPU–CUDA environment: a case study with the L-BFGS Harwell routine (Q4983269) (← links)
• (Q4990986) (← links)
• Simultaneous inversion of shear modulus and traction boundary conditions in biomechanical imaging (Q4991449) (← links)
• (Q4998960) (← links)
• (Q4999017) (← links)
• (Q4999044) (← links)
• A Perry-type derivative-free algorithm for solving nonlinear system of equations and minimizing ℓ₁regularized problem (Q4999755) (← links)
• On the Z-Numbers (Q5015715) (← links)
• Joint Modeling and Calibration of SPX and VIX by Optimal Transport (Q5019589) (← links)
• Control of Bifurcation Structures using Shape Optimization (Q5021400) (← links)
• Large-Scale Optimization with Linear Equality Constraints Using Reduced Compact Representation (Q5022491) (← links)
• A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization (Q5026838) (← links)
• A trust region method with project step for bound constrained optimization without compact condition (Q5031242) (← links)
• A descent algorithm for constrained LAD-Lasso estimation with applications in portfolio selection (Q5034163) (← links)
• When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? (Q5043367) (← links)
• A Two-Stage Conditional Random Field Model Based Framework for Multi-Label Classification (Q5045355) (← links)
• Quasi-Newton methods for machine learning: forget the past, just sample (Q5058389) (← links)
• VPVnet: A Velocity-Pressure-Vorticity Neural Network Method for the Stokes’ Equations under Reduced Regularity (Q5065192) (← links)
• QNG: A Quasi-Natural Gradient Method for Large-Scale Statistical Learning (Q5067429) (← links)
• A Deep Learning Method for Elliptic Hemivariational Inequalities (Q5074898) (← links)
• APIK: Active Physics-Informed Kriging Model with Partial Differential Equations (Q5075236) (← links)
• A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization (Q5076721) (← links)
• HEBO: An Empirical Study of Assumptions in Bayesian Optimisation (Q5094071) (← links)
• (Q5094126) (← links)
• A Unifying Framework for $n$-Dimensional Quasi-Conformal Mappings (Q5094626) (← links)
• On Stochastic and Deterministic Quasi-Newton Methods for Nonstrongly Convex Optimization: Asymptotic Convergence and Rate Analysis (Q5107212) (← links)
• Trust-region algorithms for training responses: machine learning methods using indefinite Hessian approximations (Q5113710) (← links)
• Application of the infinitely many times repeated BNS update and conjugate directions to limited-memory optimization methods (Q5116992) (← links)
• New Basic Hessian Approximations for Large-Scale Nonlinear Least-Squares Optimization (Q5117309) (← links)
• Inexact Newton-type methods based on Lanczos orthonormal method and application for full waveform inversion (Q5132267) (← links)
• Parallel Bayesian Global Optimization of Expensive Functions (Q5144800) (← links)
• Add-in for solvers of unconstrained minimization to eliminate lower bounds of variables by transformation (Q5146274) (← links)