HoloGradPy optimizes SLM phase patterns for target intensity and phase profiles in the Fourier plane.
Optimal solutions for high-dimensional problem sets
A collection of optimization methods in engineering applications (OMEA), implemented in Python — including linear, nonlinear and constrained, with examples.
The hybrid cubic regularization of conjugate gradient minimization methods.
A python package that extends PyTorch by providing Conjugate Gradient optimization algorithms.
Conjugate Gradient Optimization with Matlab
An Go native implementation of the Map Reduce parallel framework for a sparse linear solver utilizing conjugate gradient to solve the Poisson equation.
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