In this chapter, we use a search tree structure to efficiently implement a sorted map. The three most fundamental methods of a map M are M[k] implemented with __getitem, M[k] = v using __setitem__ and ...

Abstract: In this paper, a rapid binary search-based calibration method for capacitor mismatch errors in CDAC structures is proposed. Limitations of existing methods, such as the need for ADC ...

Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...

Abstract: The Euclidean Steiner tree problem is a well-known combinatorial optimization problem and also an NP hard problem. This article focuses on the problem of using Euclidean distance to solve ...

Recent advancements in quantum computing and quantum-inspired algorithms have sparked renewed interest in binary optimization. These hardware and software innovations promise to revolutionize solution ...

The world's loneliest tree may soon find a mate, thanks to artificial intelligence (AI). Only a single, male specimen of the Wood's cycad (Encephalartos woodii) has ever been discovered in the wild.

This mini-project has been completed as part of a Data Structures course objective. Through this project, we aim to use Queue and Binary Search Tree data structures to understand two different ...