The following pages link to (Q4954403):
Displaying 50 items.
- Taylor series based finite difference approximations of higher-degree derivatives (Q1874195) (← links)
- Fitting general stochastic volatility models using Laplace accelerated sequential importance sampling (Q1927096) (← links)
- Effective sub-simulation-free upper bounds for the Monte Carlo pricing of callable derivatives and various improvements to existing methodologies (Q1994388) (← links)
- Gradient-based methods for uncertainty quantification in hypersonic flows (Q2015969) (← links)
- Using automatic differentiation to compute periodic orbits of delay differential equations (Q2026590) (← links)
- Using invariant manifolds to capture an asteroid near the \(L_3\) point of the Earth-Moon bicircular model (Q2045999) (← links)
- A computationally inexpensive algorithm for determining outer and inner enclosures of nonlinear mappings of ellipsoidal domains (Q2057959) (← links)
- Active-subspace analysis of exceedance probability for shallow-water waves (Q2060951) (← links)
- \texttt{acados} -- a modular open-source framework for fast embedded optimal control (Q2125577) (← links)
- Direct optimal control for time-delay systems via a lifted multiple shooting algorithm (Q2165810) (← links)
- An efficient adjoint computational method based on lifted IRK integrator and exact penalty function for optimal control problems involving continuous inequality constraints (Q2182828) (← links)
- Automatic differentiation using operator overloading (ADOO) for implicit resolution of hyperbolic single phase and two-phase flow models (Q2222635) (← links)
- A one-dimensional full-range two-phase model to efficiently compute bifurcation diagrams in sub-cooled boiling flows in vertical heated tube (Q2223027) (← links)
- Efficient solution techniques for two-phase flow in heterogeneous porous media using exact Jacobians (Q2225337) (← links)
- Learning viscoelasticity models from indirect data using deep neural networks (Q2246355) (← links)
- Fitting psychometric models with methods based on automatic differentiation (Q2260019) (← links)
- Adjoint code generator (Q2267137) (← links)
- OSiL: An instance language for optimization (Q2268923) (← links)
- A sequential computational approach to optimal control problems for differential-algebraic systems based on efficient implicit Runge-Kutta integration (Q2295331) (← links)
- A near-stationary subspace for ridge approximation (Q2310068) (← links)
- Topology optimization of turbulent flows (Q2310714) (← links)
- Structural analysis based dummy derivative selection for differential algebraic equations (Q2359757) (← links)
- Goal-oriented uncertainty propagation using stochastic adjoints (Q2361900) (← links)
- On the handling of turbulence equations in RANS adjoint solvers (Q2362100) (← links)
- Practical global oceanic state estimation (Q2371211) (← links)
- A general framework for convexity analysis in deterministic global optimization (Q2392103) (← links)
- A note on the convergence of parametrised non-resonant invariant manifolds (Q2431079) (← links)
- Parallel fluid flow control and optimisation with lattice Boltzmann methods and automatic differentiation (Q2446604) (← links)
- An improved inexact Newton method (Q2454726) (← links)
- Shape optimization in ship hydrodynamics using computational fluid dynamics (Q2459260) (← links)
- Optimal Jacobian accumulation is NP-complete (Q2465656) (← links)
- Graph coloring in the estimation of sparse derivative matrices: Instances and applications (Q2467363) (← links)
- Transition to turbulence, small disturbances, and sensitivity analysis. I: A motivating problem (Q2473853) (← links)
- Adjoint-based optimization of PDEs in moving domains (Q2478540) (← links)
- Computation of multiple Lie derivatives by algorithmic differentiation (Q2479351) (← links)
- Polynomial cost for solving IVP for high-index DAE (Q2479586) (← links)
- Sensitivity tools vs. Poincaré sections (Q2483608) (← links)
- General explicit difference formulas for numerical differentiation (Q2488285) (← links)
- An approximation technique for robust nonlinear optimization (Q2492690) (← links)
- Newton's method with deflation for isolated singularities of polynomial systems (Q2503291) (← links)
- There is no efficient reverse derivation mode for discrete derivatives (Q2576878) (← links)
- Solving differential-algebraic equations by Taylor series. I: Computing Taylor coefficients (Q2583159) (← links)
- Applications of one-shot methods in PDEs constrained shape optimization (Q2654365) (← links)
- Sensitivity analysis based multi-scale methods of coupled path-dependent problems (Q2665031) (← links)
- Numerical integration of high-order variational equations of ODEs (Q2700366) (← links)
- A curvilinear search algorithm for unconstrained optimization by automatic differentiation (Q2770192) (← links)
- Adaptive step size selection for Hessian-based manifold Langevin samplers (Q2821480) (← links)
- <i>Parameter identification and observer-based control for distributed heating systems</i>– the basis for temperature control of solid oxide fuel cell stacks (Q2855702) (← links)
- Term graphs for computing derivatives in imperative languages (Q2867901) (← links)
- AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models (Q2885472) (← links)
