Pages that link to "Item:Q1892597"
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The following pages link to A truncated Newton optimization algorithm in meteorology applications with analytic Hessian/vector products (Q1892597):
Displaying 16 items.
- The adjoint Newton algorithm for large-scale unconstrained optimization in meteorology applications (Q1273431) (← links)
- Truncated-Newton training algorithm for neurocomputational viscoplastic model. (Q1418239) (← links)
- Optimal control of open boundary conditions for a numerical tidal model (Q1802848) (← links)
- Correction to: ``The adjoint Newton algorithm for large-scale unconstrained optimization in meteorology applications'' (Q2282828) (← links)
- Adjoint optimization of one-dimensional hyperbolic equations with constrained periodic boundary conditions (Q2638088) (← links)
- Aerodynamic design using the truncated Newton algorithm and the continuous adjoint approach (Q2900461) (← links)
- On Estimation of Temperature Uncertainty Using the Second Order Adjoint Problem (Q3146393) (← links)
- A Posteriori Error Estimates for the Solution of Variational Inverse Problems (Q3452521) (← links)
- Optimal control applied to water flow using second order adjoint method (Q3551646) (← links)
- An Analysis of a Hybrid Optimization Method for Variational Data Assimilation (Q4456960) (← links)
- A Discriminant Parameter Determining Technique in Variational Multiscale Method for Stokes Equations (Q4564988) (← links)
- TIME-PARALLEL COMPUTATION OF PSEUDO-ADJOINTS FOR A LEAPFROG SCHEME (Q5692260) (← links)
- Investigations on boundary temperature control analysis considering a moving body based on the adjoint variable and the fictitious domain finite element methods (Q5892230) (← links)
- The analysis of an ill-posed problem using multi-scale resolution and second-order adjoint techniques (Q5928393) (← links)
- Limited-memory BFGS diagonal preconditioners for a data assimilation problem in meteorology (Q5958056) (← links)
- Convergent least-squares optimization methods for variational data assimilation (Q6632229) (← links)
