Pages that link to "Item:Q3225336"
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The following pages link to The Art of Differentiating Computer Programs (Q3225336):
Displaying 50 items.
- dcc (Q19604) (← links)
- Adaptive sequencing of primal, dual, and design steps in simulation based optimization (Q404526) (← links)
- Generalized fast automatic differentiation technique (Q518538) (← links)
- Differentiable McCormick relaxations (Q522264) (← links)
- Optimization-constrained differential equations with active set changes (Q831374) (← links)
- Simultaneous single-step one-shot optimization with unsteady PDEs (Q893107) (← links)
- Monte-Carlo finite-volume methods in uncertainty quantification for hyperbolic conservation laws (Q1627230) (← links)
- A discrete adjoint framework for trailing-edge noise minimization via porous material (Q1653737) (← links)
- Numerical methods for computing plausibility and belief distributions of consequences of a subjective model of object of research (Q1662577) (← links)
- Optimized higher-order automatic differentiation for the Faddeeva function (Q1682543) (← links)
- Capitalizing on \textit{live} variables: new algorithms for efficient Hessian computation via automatic differentiation (Q1694294) (← links)
- CasADi: a software framework for nonlinear optimization and optimal control (Q1741124) (← links)
- Multiscale topology optimization using neural network surrogate models (Q1986944) (← links)
- Consistent treatment of incompletely converged iterative linear solvers in reverse-mode algorithmic differentiation (Q2023669) (← links)
- Using automatic differentiation to compute periodic orbits of delay differential equations (Q2026590) (← links)
- Numerical simulations of a rolling ball robot actuated by internal point masses (Q2061336) (← links)
- A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables (Q2124009) (← links)
- Algorithmic differentiation of hyperbolic flow problems (Q2124895) (← links)
- Hybrid FEM-NN models: combining artificial neural networks with the finite element method (Q2133536) (← links)
- A tutorial on the adjoint method for inverse problems (Q2236941) (← links)
- Compact sparse symbolic Jacobian computation in large systems of ODEs (Q2242825) (← links)
- Isogeometric structural shape optimization using automatic sensitivity analysis (Q2245792) (← links)
- An equation-based algorithmic differentiation technique for differential algebraic equations (Q2515099) (← links)
- Model complexity reduction of chemical reaction networks using mixed-integer quadratic programming (Q2629464) (← links)
- Numerical integration of high-order variational equations of ODEs (Q2700366) (← links)
- Algorithmic differentiation of numerical methods: tangent and adjoint solvers for parameterized systems of nonlinear equations (Q2828155) (← links)
- Augmenting the one-shot framework by additional constraints (Q2829577) (← links)
- Stable Set-Valued Integration of Nonlinear Dynamic Systems using Affine Set-Parameterizations (Q3195246) (← links)
- Adjoint Sensitivity Analysis for Nonsmooth Differential-Algebraic Equation Systems (Q3447466) (← links)
- Evaluating Derivatives (Q3532974) (← links)
- Accurate Vega Calculation for Bermudan Swaptions (Q4626494) (← links)
- Whitney differentiability of optimal-value functions for bound-constrained convex programming problems (Q4634171) (← links)
- A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization (Q4685564) (← links)
- How AD can help solve differential-algebraic equations (Q4685567) (← links)
- Using automatic differentiation for compressive sensing in uncertainty quantification (Q4685570) (← links)
- A usability case study of algorithmic differentiation tools on the ISSM ice sheet model (Q4685581) (← links)
- Computationally relevant generalized derivatives: theory, evaluation and applications (Q4685596) (← links)
- Integrating Lipschitzian dynamical systems using piecewise algorithmic differentiation (Q4685599) (← links)
- Branch-locking AD techniques for nonsmooth composite functions and nonsmooth implicit functions (Q4685601) (← links)
- Expression templates for primal value taping in the reverse mode of algorithmic differentiation (Q4685606) (← links)
- SIMPLE adjoint message passing (Q4685607) (← links)
- Adjoint Code Design Patterns (Q4960944) (← links)
- Tensor Train Construction From Tensor Actions, With Application to Compression of Large High Order Derivative Tensors (Q5146679) (← links)
- Automated Calculation of Higher Order Partial Differential Equation Constrained Derivative Information (Q5194601) (← links)
- Adjoint-Based Optimization for Rigid Body Motion in Multiphase Navier--Stokes Flow (Q5254412) (← links)
- The structural index of sensitivity equation systems (Q5861069) (← links)
- Learning physics-based models from data: perspectives from inverse problems and model reduction (Q5887831) (← links)
- Higher-order reverse automatic differentiation with emphasis on the third-order (Q5962714) (← links)
- Scalable methods for computing sharp extreme event probabilities in infinite-dimensional stochastic systems (Q6089193) (← links)
- A non-intrusive parallel-in-time adjoint solver with the xbraid library (Q6108357) (← links)
