Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind ...

The course provides a review of data structures such as stacks, trees, graphs, hash tables and priority queues, as well as algorithms for sorting, searching, insertion, and so on. Various ...

The existing genetic algorithms for solving this problem have high computational complexity and low efficiency in terms of running and optimization. To address this issue, this study proposes an ...

This repository contains my solutions and notes for the NPTEL Programming, Data Structures And Algorithms Using Python course. The course covers fundamental, intermediate programming, data structures, ...

Python’s other language features are meant to complement common use cases. Most modern object types—Unicode strings, for example—are built directly into the language. Data structures—like ...

Using this dataset, we first retrospectively evaluated the performance of several existing treatment-decision algorithms. We then used the data to develop two multivariable prediction models that ...

Most programming languages and libraries indeed provide implementations for basic data structures and algorithms. However, to make use of data structures properly, you have to know the tradeoffs to ...

the basic canon of algorithms and data structures is not enough. Software developers know of real-world constraints and new models of computation and use them to design effective algorithms and data ...