The following pages link to TAPENADE (Q18688):
Displaying 50 items.
- Rapid development and adjoining of transient finite element models (Q1667235) (← links)
- Uncertainty quantification by geometric characterization of sensitivity spaces (Q1668754) (← links)
- Inverse rheometry and basal properties inference for pseudoplastic geophysical flows (Q1670851) (← links)
- Design of the control set in the framework of variational data assimilation (Q1685116) (← links)
- Gradient/Hessian-enhanced least square support vector regression (Q1707968) (← links)
- Mastering uncertainty in industry. II: A survey of physical and numerical statistical modelling methods (Q1732736) (← links)
- Fitting general stochastic volatility models using Laplace accelerated sequential importance sampling (Q1927096) (← links)
- Automatic implementation of material laws: Jacobian calculation in a finite element code with TAPENADE (Q2012746) (← links)
- Gradient-based methods for uncertainty quantification in hypersonic flows (Q2015969) (← links)
- Adjoint optimization of pressurized membrane structures using automatic differentiation tools (Q2021006) (← links)
- Consistent treatment of incompletely converged iterative linear solvers in reverse-mode algorithmic differentiation (Q2023669) (← links)
- A semi-implicit approach for sediment transport models with gravitational effects (Q2079125) (← links)
- Algorithmic differentiation of hyperbolic flow problems (Q2124895) (← links)
- Periodic adjoints and anisotropic mesh adaptation in rotating frame for high-fidelity RANS turbomachinery applications (Q2134698) (← links)
- Field inversion for data-augmented RANS modelling in turbomachinery flows (Q2176866) (← links)
- On the use of derivatives in the polynomial chaos based global sensitivity and uncertainty analysis applied to the distributed parameter models (Q2214566) (← links)
- Discrete adjoint of fractional-step incompressible Navier-Stokes solver in curvilinear coordinates and application to data assimilation (Q2222428) (← links)
- Automatic differentiation using operator overloading (ADOO) for implicit resolution of hyperbolic single phase and two-phase flow models (Q2222635) (← links)
- Global optimization for data assimilation in landslide tsunami models (Q2222990) (← links)
- Efficient solution techniques for two-phase flow in heterogeneous porous media using exact Jacobians (Q2225337) (← links)
- Numerical computation of derivatives in systems of delay differential equations (Q2229788) (← links)
- Implicit time advancing combined with two finite-volume methods in the simulation of morphodynamic flows (Q2229837) (← links)
- A discrete adjoint method for pressure-based algorithms (Q2245447) (← links)
- European spreads at the interest rate lower bound (Q2246719) (← links)
- On optimal solution error covariances in variational data assimilation problems (Q2270063) (← links)
- Topology optimization of turbulent flows (Q2310714) (← links)
- Geometric and numerical methods in the contrast imaging problem in nuclear magnetic resonance (Q2340510) (← links)
- Linearized implicit time advancing and defect correction applied to sediment transport simulations (Q2361858) (← links)
- On the handling of turbulence equations in RANS adjoint solvers (Q2362100) (← links)
- Optimal Jacobian accumulation is NP-complete (Q2465656) (← links)
- Automatic differentiation: Applications, theory, and implementations. Selected papers based on the presentation at the 4th international conference on automatic differentiation (AD), Chicago, IL, USA, July 20--23, 2004 (Q2583680) (← links)
- Adjoint-based error estimation for grid adaptation for large eddy simulation (Q2670051) (← links)
- A multilevel approach for computing the limited-memory Hessian and its inverse in variational data assimilation (Q2821785) (← links)
- Algorithmic differentiation of numerical methods: tangent and adjoint solvers for parameterized systems of nonlinear equations (Q2828155) (← links)
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- Automated derivation of the adjoint of high-level transient finite element programs (Q2855671) (← links)
- AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models (Q2885472) (← links)
- Comparison of Explicit and Implicit Time Advancing in the Simulation of a 2D Sediment Transport Problem (Q2902079) (← links)
- On computation of the design function gradient for the sensor-location problem in variational data assimilation (Q2904834) (← links)
- Application of Automatic Differentiation to an Incompressible URANS Solver (Q2913118) (← links)
- AD in Fortran: Implementation via Prepreprocessor (Q2913145) (← links)
- Automatic differentiation strategy for the local sensitivity analysis of a one-dimensional hydraulic model (Q2996836) (← links)
- Automatic transition from simulation to one-shot shape optimization with Navier-Stokes equations (Q3058175) (← links)
- Continuous and Discrete Composite Adjoints for the Hessian of the Lagrangian in Shooting Algorithms for Dynamic Optimization (Q3066225) (← links)
- A computational method to estimate the unknown coefficient in a wave equation using boundary measurements (Q3111166) (← links)
- Algorithmic Differentiation of Code with Multiple Context-Specific Activities (Q3133586) (← links)
- ADiJaC -- Automatic Differentiation of Java Classfiles (Q3176305) (← links)
