Lectures for the "Problem Solving" Class at Nanjing University.
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Updated
Jun 29, 2020 - TeX
Lectures for the "Problem Solving" Class at Nanjing University.
Efficient zero-knowledge arguments in the discrete log setting, revisited
This repository was setup to help people who believe that they solved the P vs NP problem and to help the people who review proposed solutions.
CA and Problem Sheets assigned to expedite the learning of the Theory of Computation, formally named the Theory of Algorithms. Fourth Year, Theory of Algorithms, Software Development.
A C++ program that efficiently calculates the average values of nodes at each level in a binary tree, employing a level-order traversal approach for accurate and fast computation.
A public copy of the trend-prof empirical computational complexity measurement tool
This library is developed to perform efficient and exact computation of Dempster's and Fagin-Halpern conditionals (DS-Conditional-One and DS-Conditional-All in C++)
Python and LaTeX source code of my MSc thesis
This library provides a linear time and space algorithm for computing all the Fagin-Halpern conditional beliefs generated from consonant belief functions
📝 Solutions to the exercise sessions
My thesis for my Masters degree in Mathematics and Computer Science
Implementação de algoritmos de ordenação
Pushdown automaton simulator developed as an assignment for Computational Complexity course 📚 💻
Repositorio de tareas y prácticas de la asignatura Complejidad Computacional Facultad de Ciencias UNAM semestre 2023-1
Packetized Machine Learning
Christopher Robertson Submission (Worksheet 5 - COMP110)
Optimization course from Master in Computer Science at Complutense University of Madrid
Minerva University Bachelor Thesis Project: MIP* = RE
SubsetSum: a study on 'The Subset-Sum Problem'.
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