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local-optimization

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SciML / Optimization.jl

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Star 671

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 Apr 30, 2024
  • Julia

cvanaret / Uno

Star 144

A next-gen solver for nonlinearly constrained nonconvex optimization. Modular and lightweight, it unifies iterative methods (SQP vs interior points) and globalization techniques (filter method vs merit function, line search vs trust region method) in a single framework. Competitive against IPOPT, filterSQP, SNOPT, MINOS and CONOPT

c-plus-plus 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 May 8, 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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