Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

Abstract: The demodulation algorithm, optimal for the criterion of the Minimum Mean Square Error (MMSE algorithm), is increasingly being used in various communication ...

The purpose of the first part of this project [1] is to learn the importance of numerical algorithms in the solution of fundamental linear algebra problems frequently occurring in search engines. The ...

The IMEX schemes apply the implicit temporal method to only a small portion of the domain and use explicit calculations elsewhere, based on a convenient splitting algorithm. IMEX methods effectively ...

ABSTRACT: This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this ...

def get_support(data, feature_id, feature_val, cluster): """Compute support for a given value in a cluster.""" return sum(data[cluster[j], feature_id] == feature_val ...