non-convex | Topic | Ecosyste.ms: Repos

Topic: "non-convex"

JuliaFirstOrder/StructuredOptimization.jl

Structured optimization in Julia

Language: Julia - Size: 5.22 MB - Last synced at: 5 days ago - Pushed at: almost 2 years ago - Stars: 72 - Forks: 10

dalab/subsampled_cubic_regularization

Source code for "Sub-sampled Cubic Regularization for Non-convex Optimization", JM Kohler, A Lucchi, https://arxiv.org/abs/1705.05933

Language: Jupyter Notebook - Size: 21.8 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 14 - Forks: 10

KhaledAshrafH/2D-Graphics-Toolkit

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

Language: C++ - Size: 938 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 0

hcherkaoui/pybold

Semi-blind deconvolution for fMRI (BOLD signal)

Language: Python - Size: 176 KB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 2

aparek/FusedLasso

Convex fused lasso denoising with non-convex regularization and its use for pulse detection

Language: Matlab - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 2

aparek/cncTightFrame

Image Denoising using Tight-Frame with convex non-convex priors

Language: Matlab - Size: 897 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

RS-Coop/QuasiNewton.jl

A collection of Quasi-Newton optimization algorithms implemented in Julia.

Language: Julia - Size: 206 KB - Last synced at: about 21 hours ago - Pushed at: about 22 hours ago - Stars: 0 - Forks: 1

HassanMahmoodKhan/Two-Dimensional-Classification-Involving-Non-Convex-Decision-Regions

Two-dimensional binary classification problem involving non-convex decision regions. The proposed solution employs a Back Propagation and a Counter Propagation Network to distinguish whether an input pattern belongs to class C1 or C2.

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0