Learn what approximation algorithms are, how they work, and what are some examples and challenges in computer engineering.

It covers a wide range of approximation algorithm concepts, including NP-hard problems, trade-off between solution quality and running time, and probabilistic algorithms. Each algorithm is presented ...

Geometric optimisation and approximation algorithms form a vibrant research area that intersects computational geometry, combinatorial optimisation and algorithm design. Researchers are dedicated ...

Algorithm Analysis: In-depth discussion of the implemented algorithms, including time and space complexity analysis. Comparative Study: A comparison between the exact and approximation methods in ...

In practice, the actual approximation factor is far better; we provide a specific example by generating a nearly-optimal inter-league tournament for the 30-team National Basketball Association, with ...

Understand how approximation algorithms compute solutions that are guaranteed to be within some constant factor of the optimal solution. Develop a basic understanding of how linear and integer ...

Nash equilibria represent a cornerstone in game theory, defining strategy profiles wherein no player can benefit by unilaterally deviating. This concept underpins a myriad of applications, ranging ...

The Far Field Approximation (FAA) is an approximate decomposition phase algorithm that is developed based on the distinction between near-field and far-field interactions in the spatial domain. The ...

Although efficient in a strictly theoretical sense (i.e., in the sense of taking polynomial versus exponential time), this algorithm for the permanent is not practical. Indeed, to date, no practical ...