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Jan 25, 2021 - Python
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adjoint
Here are 23 public repositories matching this topic...
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
adjoint
backpropogation
neural-ode
scientific-machine-learning
neural-sde
sciml
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Jul 3, 2021 - Julia
DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Gradient-based Design Optimization
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Jul 2, 2021 - C
Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
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Apr 6, 2021 - Jupyter Notebook
Differentiable interface to FEniCS for JAX
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May 30, 2021 - Python
Automatic differentiation of FEniCS and Firedrake models in Julia
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Mar 21, 2021 - Julia
Differentiable interface to Firedrake for JAX
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Feb 28, 2021
A library for high-level algorithmic differentiation, primarily for use with FEniCS or Firedrake
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Jul 1, 2021 - Python
Goal Oriented Adaptive Lagrangian Mechanics
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Jun 22, 2020 - C++
Python package for solving implicit heat conduction
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Mar 18, 2021 - Jupyter Notebook
Adjoint-based optimization and inverse design of photonic devices.
thesis
optimization
thesis-template
phd-thesis
electromagnetics
inverse-problems
adjoint
photonics
nanophotonics
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Aug 22, 2019 - TeX
1D Heat Equation Model Problem for Field Inversion and Machine Learning Demonstration
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Aug 22, 2019 - Python
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.
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Sep 5, 2017 - C++
A shock-capturing adjoint solver for the compressible flow equations
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May 4, 2020 - Fortran
Easy interoperability with Automatic Differentiation libraries through NumPy interface to FEniCS adjoint
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Feb 28, 2021 - Python
Create animations, plots, and calculate summary statistics for MITgcm adjoint output
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Sep 16, 2019 - MATLAB
Open
Utilities
jwallwork23
commented
Jun 9, 2021
- Minimum angle 2D
- Skewness 2D
- Equiangle skew 2D
- Skewness 3D
- Equiangle skew 3D
- Extend aspect ratio to 3D
- Extend scaled Jacobian to 3D
Combinatorial algorithms in bioinformatics - Adjoint Graph
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Dec 12, 2016 - C++
Compute the gradient of the log likelihood function from a Kalman filter using the adjoint method.
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May 4, 2021 - MATLAB
An adjointable cardiac mechanics data assimilator.
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Mar 31, 2021 - Python
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Describe the bug
If
eps_ris shape(N,)then the fields solved are shape(N,1)Either:
eps_rarraysOr:
eps_rshape and reshape the fields to match.