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

Detailed solution including the pseudo-code and the description of the steps of your solution. Complexity analysis for the algorithm. Code in java Sample output of the solution for the different cases ...

Design-and-Analysis-of-Algorithm Data Type : A data type is something that defines a domain of allowed values and the operations that can be performed on those values.

Chapter 3: Greedy approach, Dynamic Programming, Branch and Bound techniques, Backtracking and Problems, Amortized analysis, and Order Statics. Chapter 4: Graph algorithms, BFS, DFS, Spanning Tree, ...

Algorithms are the foundation of Computer Science and Engineering, which instruct the computer to do the required task efficiently. Design and Analysis of Algorithms (DAA) course is aimed to develop ...

Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...

In computer science, an algorithm is an unambiguous specification of how to solve a class of problems. Algorithms can perform calculation, data processing and automated reasoning tasks. As an ...