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adjoint

Here are 26 public repositories matching this topic...

ceviche

fancompute / ceviche

🦐 Electromagnetic Simulation + Automatic Differentiation

optimization fdtd electromagnetics inverse-problems adjoint fdfd

Updated Jan 25, 2021
Python

SciML / DiffEqSensitivity.jl

Sponsor

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 May 30, 2022
Julia

TCLB

CFD-GO / TCLB

TCLB - Templated MPI+CUDA/CPU Lattice Boltzmann code

r mpi cfd mpi-cuda lattice-boltzmann adjoint

Updated May 26, 2022
C++

fancompute / angler

Open

E fields same shape as eps_r

twhughes commented Dec 3, 2018

Describe the bug
If eps_r is shape (N,) then the fields solved are shape (N,1)

Either:

disallow 1-D eps_r arrays
Or:
keep track of eps_r shape and reshape the fields to match.

Read more

enhancement good first issue

Open

Flexible current sources

Open

Animate Permittivity During Run

mdolab / dafoam

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

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

Updated Apr 30, 2022
C

IvanYashchuk / jax-fenics-adjoint

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

IvanYashchuk / jax-fenics

Differentiable interface to FEniCS for JAX

automatic-differentiation fenics adjoint jax

Updated May 30, 2021
Python

IvanYashchuk / fenics-pymc3

Differentiable interface to FEniCS for PyMC3

pymc3 fenics adjoint

Updated Mar 12, 2022
Python

google / ceviche-challenges

🔴

🟢

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

optimization electromagnetics adjoint photonics fdfd

Updated May 30, 2022
Python

IvanYashchuk / PyFenicsAD.jl

Automatic differentiation of FEniCS and Firedrake models in Julia

fenics adjoint zygote firedrake chain-rules

Updated Mar 21, 2021
Julia

IvanYashchuk / jax-firedrake

Differentiable interface to Firedrake for JAX

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

Updated Feb 28, 2021

ocramz / ad-delcont

Sponsor

Reverse-mode automatic differentiation with delimited continuations

machine-learning optimization automatic-differentiation gradient backpropagation adjoint

Updated Mar 13, 2022
Haskell

jrmaddison / tlm_adjoint

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

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

Updated May 30, 2022
Python

bgranzow / goal

Goal Oriented Adaptive Lagrangian Mechanics

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

Updated Dec 9, 2021
C++

pyroteus / pyroteus

Open

Mesh quality measures

3

jwallwork23 commented Jun 9, 2021

Read more

enhancement good first issue

choward1491 / AdjointOptimalControl

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

Updated Sep 5, 2017
C++

comp-physics / 1D-Shocks-Adjoint-Euler-Solver

A shock-capturing adjoint solver for the compressible flow equations

euler-equations adjoint shock-capturing adjoint-sensitivities weno

Updated May 4, 2020
Fortran

twhughes / PhD_Thesis

Adjoint-based optimization and inverse design of photonic devices.

thesis optimization thesis-template phd-thesis electromagnetics inverse-problems adjoint photonics nanophotonics

Updated Aug 22, 2019
TeX

IvanYashchuk / numpy-fenics-adjoint

Easy interoperability with Automatic Differentiation libraries through NumPy interface to FEniCS adjoint

numpy automatic-differentiation fenics adjoint

Updated Feb 28, 2021
Python

brmather / conduction

Python package for solving implicit heat conduction

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

Updated Mar 18, 2021
Jupyter Notebook

jholland1 / py_1D_heat

1D Heat Equation Model Problem for Field Inversion and Machine Learning Demonstration

machine-learning machine-learning-algorithms inversion fiml adjoint adjoint-optimisation

Updated Aug 22, 2019
Python

DanJonesOcean / AdjointAnalysis

Create animations, plots, and calculate summary statistics for MITgcm adjoint output

matlab adjoint mitgcm adjoint-sensitivities

Updated Sep 16, 2019
MATLAB

ambrad / kfgs

Compute the gradient of the log likelihood function from a Kalman filter using the adjoint method.

matlab kalman-filter adjoint

Updated May 4, 2021
MATLAB

drgHannah / Radon-Transformation

A Pytorch implementation of the radon operator and filtered backprojection with, except for a constant, adjoint radon operator and backprojection.

pytorch radon adjoint radon-transform filtered-back-projection

Updated Jan 21, 2022
Jupyter Notebook

kubawajs / AdjointGraph-Converter

Combinatorial algorithms in bioinformatics - Adjoint Graph

bioinformatics graph graph-algorithms adjoint adjoint-graph

Updated Dec 12, 2016
C++

ComputationalPhysiology / pulse_adjoint

An adjointable cardiac mechanics data assimilator.

data-assimilation fenics mechanics adjoint cardiac dolfin-adjoint

Updated Mar 31, 2021
Python

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