SIMD-based linear algebra and statistics for data science with dart

Notes on mathematical methods for physics

This repository is reserved for the typed notes for PHYS3031 Mathematical Methods in Physics II

This Python notebook is used to compute mechanical properties based on a tensile test data for a metallic material

The 0/1 Knapsack problem involves selecting a subset of items, each with a weight and a value, to maximize the total value while staying within a given weight capacity. Each item can either be included or excluded (0 or 1).

For studying MMCS, defined special probability distributions as classes. Also renders example graphs.

This repository contains my JavaScript course assignments, covering all topics from basic to advance. Each folder includes solutions to coding questions and exercises.

Experiments on post-facto methods inspired by Differential Privacy to protect BERT embeddings from inversion attacks while keeping the utility intact. The project explores the tradeoff between privacy and utility .

A couple of exercises about Ill conditioning, Finite rapresentation in python and series approximation with finite numbers

This repository is a collection of mathematical optimization algorithms and solutions for a variety of optimization problems. It provides a toolkit of algorithms and techniques for tackling optimization challenges in different domains.

An easy implementation of the Stochastic / Batch gradient descent and comparison with the standard Gradient Descent Method

An exercise on the use of NMF for Blind Signal Separation

PyNum is a comprehensive educational toolkit for numerical analysis and computational mathematics. It provides multi-language implementations of fundamental numerical algorithms along with detailed theoretical notes, making it ideal for students, educators, and researchers exploring numerical methods.