adjoint

Here are 26 public repositories matching this topic...

fancompute / ceviche

🦐 Electromagnetic Simulation + Automatic Differentiation

optimization fdtd electromagnetics inverse-problems adjoint fdfd

Updated Jan 25, 2021
Python

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.

ode dde differentialequations sde dae sensitivity-analysis hacktoberfest adjoint backpropogation neural-ode scientific-machine-learning neural-sde sciml

Updated Aug 26, 2022
Julia

fancompute / angler

Star

Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices

simulation optimization solver optics sensitivity-analysis inverse-problems frequency-domain electromagnetic mkl adjoint photonics adjoint-sensitivities fdfd nonlinear-devices

Updated Dec 14, 2019
Python

CFD-GO / TCLB

Star

TCLB - Templated MPI+CUDA/CPU Lattice Boltzmann code

r mpi cfd mpi-cuda lattice-boltzmann adjoint

Updated Jul 11, 2022
C++

mdolab / dafoam

Star

DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization

open-source heat-transfer cfd openfoam aerodynamics adjoint mdo design-optimization

Updated Aug 19, 2022
C

IvanYashchuk / jax-fenics-adjoint

Star

Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint

automatic-differentiation fenics adjoint adjoint-sensitivities jax adjoint-solvers

Updated Nov 9, 2021
Jupyter Notebook

google / ceviche-challenges

Star

🔴

🟢

🔵 A suite of photonic inverse design challenge problems for topology optimization benchmarking

optimization electromagnetics adjoint photonics fdfd

Updated Jul 21, 2022
Python

IvanYashchuk / jax-fenics

Star

Differentiable interface to FEniCS for JAX

automatic-differentiation fenics adjoint jax

Updated May 30, 2021
Python

IvanYashchuk / fenics-pymc3

Star

Differentiable interface to FEniCS for PyMC3

pymc3 fenics adjoint

Updated Mar 12, 2022
Python

IvanYashchuk / PyFenicsAD.jl

Star

Automatic differentiation of FEniCS and Firedrake models in Julia

fenics adjoint zygote firedrake chain-rules

Updated Mar 21, 2021
Julia

IvanYashchuk / jax-firedrake

Star

Differentiable interface to Firedrake for JAX

automatic-differentiation adjoint tangent jax differentiable-programming firedrake tangent-linear

Updated Feb 28, 2021

ocramz / ad-delcont

Sponsor

Star

Reverse-mode automatic differentiation with delimited continuations

machine-learning optimization automatic-differentiation gradient backpropagation adjoint

Updated Mar 13, 2022
Haskell

jrmaddison / tlm_adjoint

Star

A library for high-level algorithmic differentiation, primarily for use with FEniCS or Firedrake

adjoint algorithmic-differentiation second-order-adjoint tangent-linear

Updated Aug 25, 2022
Python

brmather / conduction

Star

Python package for solving implicit heat conduction

python inversion heat-transfer adjoint diffusion-equation thermal-models

Updated Mar 18, 2021
Jupyter Notebook

pyroteus / pyroteus

Star

Goal-oriented error estimation and mesh adaptation for finite element problems solved using Firedrake

python adjoint mesh-adaptation firedrake metric-based

Updated Jul 6, 2022
Python

bgranzow / goal

Star

Goal Oriented Adaptive Lagrangian Mechanics

c-plus-plus finite-elements adjoint adaptation error-estimation

Updated Dec 9, 2021
C++

choward1491 / AdjointOptimalControl

Star

Approximation algorithm to solve Optimal Control problems using the Adjoint Method. Assumes your controller is based on a parametric model. Uses Forward-Backward-Sweep adjoint method.

algorithm control optimization iterative-methods optimal-control adjoint calculus-of-variations