This textbook covers the mathematical foundations of the analysis of algorithms. The gist of the book is how to argue, without the burden of excessive formalism, that a given algorithm does what it is ...

Algorithm analysis is an important part of computational complexity theory, which provides theoretical estimation for the required resources of an algorithm to solve a specific computational problem ...

To perform an optimization One of the machine learning algorithms is by using Ensemble Learning. The main problem in this study is to increase the accuracy of the neural network algorithm in ...

The proposed implementations offer significant improvements compared to existing algorithms and make the related sensitivity analysis problem practically solvable. OR professionals in every field of ...

CSC 506 - Design and Analysis of Algorithms Disclaimer: These projects were built as a requirement for CSC 506: Design and Analysis of Algorithms at Colorado State University Global under the ...

This paper is devoted to the development of observation models used in the algorithm for joint processing of measurements from ultra-wideband time-of-flight/ang ...

This paper presents the Levinson algorithm, its rediscoveries and extensions. A review is given of the applications of the procedure to several areas of interest in the field of time series analysis.

K-Means Algorithm, Influenza Transmission, Cluster Analysis, Urban Characteristics Share and Cite: Ye, S. (2025) Application of the K-Means Algorithm in the Study of Influenza Transmission Patterns.

It navigates the emerging drugs under development based on the stage of development, route of administration, target receptor ...

Algorithmic trading provides a more systematic approach to active trading than one based on intuition or instinct. Learn how hedge funds use computer programs to trade.

These sensitive time-of-flight sensors developed by STMicroelectronics enable AI algorithms for PC privacy and security — and ...