🚀 Data Structures & Algorithms (DSA) concepts: 🔍 Complexity analysis 🧩 Problem-solving techniques 🖥️ Programming paradigms
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Updated
Oct 7, 2025 - C
🚀 Data Structures & Algorithms (DSA) concepts: 🔍 Complexity analysis 🧩 Problem-solving techniques 🖥️ Programming paradigms
Pretty representations of popular searching algorithms.
The Fibonacci Spiral, made out of squares.
A collection of optimization methods in engineering applications (OMEA), implemented in Python — including linear, nonlinear and constrained, with examples.
searching algorithams
This repository contains Matlab codes for some mathematical topics in computer science.
4 search algorithms applied using python. Final project for algorithms and complexity.
Finding Nth Fibonacci Number in Java verified Range from 1 to 30k.
Implementation of a few optimization algorithms
Linear Search and Binary Search explained
Optimisation method algorithms
A Python program that generates the Fibonacci sequence up to a user-specified number of terms. It features input validation, error handling, and clear output formatting, making it an excellent tool for learning Python basics and understanding the Fibonacci sequence
Simple search algorithms in Python
Generate Fibonacci sequences with ease using this interactive GUI tool. Enter the number of terms, switch between light and dark themes, and view the results instantly. Perfect for learning or quick calculations. Simple, elegant, and efficient.
This is a Desktop App developed for my thesis!
This repository contains a collection of MATLAB scripts that implement some of the classical optimization methods for unconstrained optimization models: Steepest-Descent, Newton method, Gauss-Newton, Conjugate Gradient method, Fibonacci search, Golden-section search, Dichotomous search and Exhaustive search.
Creates Circles related by the golden ratio
Micro web application to analyze and compare the 3 main value index searches in a sequence
A C program to calculate Fibonacci numbers up-to infinite digits place (depending on your heap size ;-)).
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