Since the 1970s, algorithms have been able to test graph isomorphism, but in exponential time. This means that the increasing complexity of the graphs increased the algorithm's running time ...

If you want to design efficient and scalable algorithms, you need to know how to measure their performance in terms of time and space complexity. These two concepts help you to estimate how fast ...

Big O notation is a mathematical notation that expresses the upper bound of the worst-case scenario of an algorithm's time complexity. It is useful for comparing the efficiency of different ...

This is a Python application built using the PyQT6 framework to help visualize the time complexity of various algorithms. The user can choose ... You can also adjust the parameters of the graph, such ...

Both time and space complexities are discussed. Keywords: weighted spanning trees; enumeration; computational complexity. There are several greedy algorithms for finding a minimal spanning tree M of a ...

The goal is to leverage parallel computing techniques to optimize the execution time of graph algorithms, leading to improved scalability ... However, the growing size and complexity of real-world ...

control flow graphs of computer programs. We study efficient algorithms to solve research questions on such networks. One important direction is the use of decomposition techniques to solve problems ...

In practice, existing algorithms can do the job in reasonable time, but it was possible that extremely complex graphs would make the problem intractable. Not anymore. “My first thought was that ...

For this reason, it can be noticed that the time spent by the current parallel graph connectivity algorithms on BFS operations is usually a significant portion of their overall runtime. In this paper, ...