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local-optimization

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SciML / Optimization.jl

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Star 728

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

optimization julia automatic-differentiation global-optimization hacktoberfest nonlinear-optimization convex-optimization algorithmic-differentiation mixed-integer-programming scientific-machine-learning derivative-free-optimization sciml local-optimization
  • Updated Nov 4, 2024
  • Julia

cvanaret / Uno

Star 278

A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region and merit function/filter method/funnel method). Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.

cpp optimization constrained-optimization gradient-descent optimization-methods numerical-optimization nonlinear-programming-algorithms nonlinear-optimization optimization-algorithms nonlinear-programming quadratic-programming interior-point-method newton-method continuous-optimization sequential-quadratic-programming mathematical-programming mathematical-optimization nonconvex-optimization local-optimization optimization-solver
  • Updated Nov 17, 2024
  • C++

devosmitachatterjee2018 / Computer_Vision

Star 1

The project involves projective geometry, geometric transformations, modelling of cameras, feature extraction, stereo vision, recognition and deep learning, 3d-modelling, geometry of surfaces and their silhouettes, tracking, and visualisation.

structure-from-motion calibration epipolar-geometry model-fitting projective-geometry direct-linear-transform local-optimization calibrated-projective-factorization rigid-object-pose-estimation
  • Updated Oct 24, 2020
  • MATLAB

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