Foundations Of Data Structures And Algorithms
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Foundations of Data Structures and Algorithms
Author: Mr. Rohit Manglik
language: en
Publisher: EduGorilla Publication
Release Date: 2024-02-24
Teaches core data structures and algorithm design. Covers arrays, trees, and sorting techniques, building a foundation for efficient programming and problem-solving.
Foundations of Data Organization and Algorithms
Author: Witold Litwin
language: en
Publisher: Springer Science & Business Media
Release Date: 1989-06-07
The Third International Conference on Foundations of Data Organization and Algorithms has been organized by INRIA in Paris from June 21 to 23, 1989. Previous FODO Conferences were held in Warsaw, 1981, and in Kyoto, 1985. The goal of this year's conference is to present advances in techniques of permanent and temporary data organization in different fields. New applications such as image processing, graphics, geographic data processing, robotics, office automation, information systems, language translation, and expert systems have developed various data organizations and algorithms specific to the application requirements. The growing importance of these applications has created a need for general studies on data organization and algorithms as well as for specific studies on new database management systems and on filing services. The articles submitted for the conference were subject to the usual rigorous reviewing process and selected on that basis. They offer an excellent snapshot of the state of the art in the field and should prove invaluable for computer scientists faced by the problems of data organization which are raised by these new applications.
Advanced Data Structures and Algorithms – Beyond the Basics
Author: Dr. K. Rajendra Prasad
language: en
Publisher: RK Publication
Release Date: 2024-05-31
Advanced Data Structures and Algorithms – Beyond the Basics computational structures and techniques, offering in-depth insights for solving challenging problems in computer science. This explores advanced topics such as graph algorithms, dynamic programming, segment trees, Fenwick trees, and more, providing both theoretical foundations and practical implementations. Designed for intermediate to advanced learners, it emphasizes optimization, scalability, and efficiency, equipping readers with the tools to tackle real-world applications. Through detailed examples and rigorous analysis, the book bridges the gap between foundational knowledge and cutting-edge practices in data structures and algorithms.