Abstract: Finding critical links and weak points is an important task in almost all types of networks. Minimum cuts provide useful information about the critical links. However, finding a minimum cut ...

Abstract: Compressed sensing (CS) algorithms are used for linear array synthetic aperture radar (LASAR) three-dimensional (3D) imaging. However, it is difficult to obtain imaging results with both ...

An algorithm that constructs the final answer by choosing most optimal choice at the moment, not taking any choices back. Given coins = {1,2,5,10,20,50,100,200} and integer n, determine the minimum ...

Machine learning holds the potential to solve many real-world problems, but interpretability is a necessary prerequisite for practitioners in high-stakes domains such as medicine and law. Decision ...

In the bin packing problem, objects with different volumes are packed into a finite number of bins in an order that minimizes the number of bins used. This Python program uses three greedy ...

Worse-case analysis takes a “Murphy’s Law” approach to algorithm analysis, which is too crude to give meaningful algorithmic guidance for many important problems, including linear programming, ...