Code for designing sigma delta modulator loop filters with optimal properties.
-
Updated
Aug 31, 2023 - MATLAB
Code for designing sigma delta modulator loop filters with optimal properties.
Code for symbolic validations of the PEP-based proofs for the article " Worst-case convergence analysis of gradient and Newton methods through semidefinite programming performance estimation" authored by E. de Klerk, F. Glineur and A. Taylor
An accelerated active‑set algorithm for a quadratic semidefinite program with general constraints
This code can be used to reproduce all results from the paper "Smooth strongly convex interpolation and exact worst-case performance of first-order methods" (published in Mathematical Programming). (newer version available in the PESTO toolbox)
An Exact Solver for Cardinality-constrained Minimum Sum-of-Squares Clustering
Code to reproduce the results presented in the work "Efficient First-order Methods for Convex Minimization: a Constructive Approach" (in Mathematical Programming series A) by Y. Drori and A. Taylor.
Standard errors for moment matching estimators given limited knowledge about the moment variance-covariance matrix
The code for large margin metric learning for nearest neighbor classification and its acceleration using triplet mining and stratified sampling
An open-source add-on for YALMIP to solve optimisation problems with polynomial quadratic integral inequality constraints.
An open-source interface to use the multiple-precision solver SDPA-GMP with YALMIP
Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analyses of first-order methods in convex and nonconvex optimization. The numerical worst-case analyses from PEP can be performed just by writting the algorithms just as you would implement them.
Solver for Large-Scale Rank-One Semidefinite Relaxations
Certifiable Outlier-Robust Geometric Perception
LipSDP - Lipschitz Estimation for Neural Networks
Bayesian Optimization of Combinatorial Structures
Add a description, image, and links to the semidefinite-programming topic page so that developers can more easily learn about it.
To associate your repository with the semidefinite-programming topic, visit your repo's landing page and select "manage topics."