Implementation of search, sorting & selection algorithms to build an efficient datagrid. Project developed within the scope of the Algorithm Design and Analysis discipline, lectured by Professor ...

Algorithms play a central role both in the theory and in the practice of computing. The goal of the authors was to write a textbook that would not trivialize the subject but would still be readable by ...

COMP 372 introduces the fundamental techniques for designing and analyzing algorithms. These include asymptotic notation and analysis, divide-and-conquer algorithms, dynamic programming, greedy ...

Algorithm Design Based on Perturbations and Smoothed Analysis. Finally, we hope insights gained from smoothed analysis will lead to new ideas in algorithm design. On a theoretical front, Kelner and ...

Sparse matrix computations are an important class of algorithms. One of the important topics in this field is SPCA (Sparse Principal Component Analysis), a variant of PCA. SPCA is used to compute the ...

In conclusion, the researchers address the critical need for formal design and analysis principles in developing LLM-based algorithms. By introducing a structured framework and validating it through ...

The Bachelor of Computing Degree, with majors in Computer Science and Software Engineering, teaches software development, data structures, algorithms, teamwork, and professional standards. The ...

This repository showcases a project developed for the CS315 Algorithms Design and Analysis course, focusing on finding the similarity between two texts using Jaccard Similarity. This repo contains a ...