Structured optimization in Julia
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Updated
Jul 1, 2023 - Julia
Structured optimization in Julia
Source code for "Sub-sampled Cubic Regularization for Non-convex Optimization", JM Kohler, A Lucchi, https://arxiv.org/abs/1705.05933
This is a C project that uses Windows API and OpenGL to create a graphical user interface (GUI) for drawing and manipulating 2D shapes. The project implements various algorithms for line, circle, ellipse, curve, filling, and clipping operations. The user can interact with the window using mouse only, and can choose the shape color, filling quarte
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Convex fused lasso denoising with non-convex regularization and its use for pulse detection
Image Denoising using Tight-Frame with convex non-convex priors
Python implementation of classical optimization problems
Adaptive Regularization with Cubics (ARC) optimizer for PyTorch.
A collection of Quasi-Newton optimization algorithms implemented in Julia.
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