HoloGradPy optimizes SLM phase patterns for target intensity and phase profiles in the Fourier plane.
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Updated
Sep 10, 2026 - Python
HoloGradPy optimizes SLM phase patterns for target intensity and phase profiles in the Fourier plane.
A collection of optimization methods in engineering applications (OMEA), implemented in Python — including linear, nonlinear and constrained, with examples.
Optimal solutions for high-dimensional problem sets
A python package that extends PyTorch by providing Conjugate Gradient optimization algorithms.
The hybrid cubic regularization of conjugate gradient minimization methods.
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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