invrs-opt 0.1.4

Algorithms for inverse design

invrs-opt - Optimization algorithms for inverse design

v0.1.4

Overview

The invrs-opt package defines an optimizer API intended for topology optimization, inverse design, or AI-guided design. It (currently) implements the L-BFGS-B optimization algorithm along with some variants. The API is intended to be general so that new algorithms can be accommodated, and is inspired by the functional optimizer approach used in jax. Example usage is as follows:

initial_params = ...

optimizer = invrs_opt.lbfgsb()
state = optimizer.init(initial_params)

for _ in range(steps):
    params = optimizer.params(state)
    value, grad = jax.value_and_grad(loss_fn)(params)
    state = optimizer.update(grad=grad, value=value, params=params, state=state)

Optimizers in invrs-opt are compatible with custom types defined in the totypes package. The basic lbfgsb optimizer enforces bounds for custom types, while the density_lbfgsb optimizer implements a filter-and-threshold operation for DensityArray2D types to ensure that solutions have the correct length scale.

Install

pip install invrs_opt