The following pages link to Evaluating Derivatives (Q3532974):
Displaying 50 items.
- Least-squares finite element method for ordinary differential equations (Q2088807) (← links)
- High-performance statistical computing in the computing environments of the 2020s (Q2092893) (← links)
- A capsule-unified framework of deep neural networks for graphical programming (Q2099868) (← links)
- Automatic zig-zag sampling in practice (Q2103992) (← links)
- An isogeometric one-dimensional Kirchhoff-Love type model for developable elastic ribbons (Q2104046) (← links)
- AutoMat: automatic differentiation for generalized standard materials on GPUs (Q2115597) (← links)
- Forward and backward uncertainty quantification with active subspaces: application to hypersonic flows around a cylinder (Q2122694) (← links)
- Algorithmic differentiation of hyperbolic flow problems (Q2124895) (← links)
- An adaptive trust-region method without function evaluations (Q2125064) (← links)
- Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning (Q2127404) (← links)
- Adjoint complement to the volume-of-fluid method for immiscible flows (Q2129325) (← links)
- Efficient computation of Jacobian matrices for entropy stable summation-by-parts schemes (Q2134472) (← links)
- Physics constrained learning for data-driven inverse modeling from sparse observations (Q2135255) (← links)
- Automatic differentiation and maximal correlation of order statistics from discrete parents (Q2135943) (← links)
- Stochastic zeroth-order discretizations of Langevin diffusions for Bayesian inference (Q2137043) (← links)
- Performance of Borel-Padé-Laplace integrator for the solution of stiff and non-stiff problems (Q2141182) (← links)
- Inertial stochastic PALM and applications in machine learning (Q2143164) (← links)
- Sparse polynomial interpolation based on derivatives (Q2156377) (← links)
- Combining Sobolev smoothing with parameterized shape optimization (Q2166559) (← links)
- Identifying material parameters in crystal plasticity by Bayesian optimization (Q2168636) (← links)
- Solution of third grade thin film flow using algorithmic differentiation (Q2186998) (← links)
- Estimating linearized heterogeneous agent models using panel data (Q2191489) (← links)
- Multivariate transformed Gaussian processes (Q2195526) (← links)
- Generalized gradients in dynamic optimization, optimal control, and machine learning problems (Q2215292) (← links)
- The open porous media flow reservoir simulator (Q2217095) (← links)
- Maximum likelihood estimation of multilevel structural equation models with random slopes for latent covariates (Q2220366) (← links)
- Discretization error control for constrained aerodynamic shape optimization (Q2220563) (← links)
- Acceleration of automatic differentiation of solutions to parabolic partial differential equations: a higher order discretization (Q2220742) (← links)
- InitDAE: computation of consistent values, index determination and diagnosis of singularities of DAEs using automatic differentiation in Python (Q2223798) (← links)
- Implementable tensor methods in unconstrained convex optimization (Q2227532) (← links)
- Efficient computation of nonlinear isogeometric elements using the adjoint method and algorithmic differentiation (Q2236966) (← links)
- Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy (Q2237305) (← links)
- Mixed precision path tracking for polynomial homotopy continuation (Q2240693) (← links)
- DEFT-FUNNEL: an open-source global optimization solver for constrained grey-box and black-box problems (Q2245001) (← links)
- Full-space approach to aerodynamic shape optimization (Q2245229) (← links)
- A discrete adjoint method for pressure-based algorithms (Q2245447) (← links)
- Isogeometric structural shape optimization using automatic sensitivity analysis (Q2245792) (← links)
- Analysis of driving styles of a GP2 car via minimum lap-time direct trajectory optimization (Q2247243) (← links)
- Projector based integration of DAEs with the Taylor series method using automatic differentiation (Q2252350) (← links)
- Solving piecewise linear systems in ABS-normal form (Q2261559) (← links)
- A brief survey of methods for solving nonlinear least-squares problems (Q2273095) (← links)
- Derivative-free robust optimization by outer approximations (Q2288189) (← links)
- Sensitivity computations in higher order continuation methods (Q2289347) (← links)
- Gradient methods for solving Stackelberg games (Q2290375) (← links)
- High dimensional kriging metamodelling utilising gradient information (Q2290871) (← links)
- Stepsize selection in the rigorous defect control of Taylor series methods (Q2291989) (← links)
- Changing variables in Taylor series with applications to PDEs (Q2294434) (← links)
- A Taylor series-based continuation method for solutions of dynamical systems (Q2296655) (← links)
- Continuation of periodic solutions of various types of delay differential equations using asymptotic numerical method and harmonic balance method (Q2296945) (← links)
- A Newton-CG algorithm with complexity guarantees for smooth unconstrained optimization (Q2297654) (← links)
