Using OpenEvolve to optimize randomize algorithms for set membership and tasks in similar vein
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Updated
Nov 15, 2025 - Python
Using OpenEvolve to optimize randomize algorithms for set membership and tasks in similar vein
My solutions (in Python) for problems from the Coursera course "Finding Hidden Messages in DNA (Bioinformatics I)" by UC San-Diego.
📊 Hometask - Basic Algorithms and Data Structures (Linear Programming and Randomized Algorithms)
Master's | Basic Algorithms & Data structures | Module 10 | Linear Programming & Randomized Algorithms
The user friendly randomized numerical linear algebra package
[ICML 2023] Official implementation of "A randomized schur complement based graph augmentor"
Python simulation of lottery-based CPU scheduling, where separate processes hold tickets and the scheduler determines execution order through random ticket selection
High-Performance Python Package for Scalable Randomized Algorithms in Linear Algebra
Part of my PhD thesis
Programming Assignments for Algorithm Specialization (4 Courses) offered by Stanford University via the Coursera network
Algorithms-Specialization from Stanford:
A selection of algorithms, implemented during the courses at UNI-LJ.
Randomized Algorithms for Travelling Salesman Problem
Coursera: Algorithms Specialization
Implementation of a few Randomized Optimization algorithm such as Hill climbing, Simulated Annealing, Genetic Algorithms plus drawing fitness function
Coding problems from course 1 of the Bioinformatics specialization
Solved tasks of the master's degree courses of speciality "Algorithms and Systems for Big Data Processing".
Approximating optimization problems using EAs on scale-free networks
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