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Mastering Fundamental Data Structures: A Researcher's Guide to Efficient Algorithms
Data structures and algorithms are the building blocks of efficient and effective software solutions. In our increasingly data-driven world, understanding these fundamental concepts is essential for researchers, academia, industry professionals, students, educators, enthusiasts, and hobbyists alike. This subchapter provides an overview of the key data structures and algorithms covered in the book "Mastering Fundamental Data A Researcher's Guide to Efficient Algorithms."
The subchapter begins by introducing the concept of data structures, which are containers used to organize and store data efficiently. It highlights the importance of selecting the appropriate data structure for a given problem, as different structures have varying strengths and weaknesses. The subchapter covers essential data structures such as arrays, linked lists, stacks, queues, trees, heaps, and hash tables, along with their associated algorithms for manipulation and retrieval.
The subchapter begins by introducing the concept of data structures, which are containers used to organize and store data efficiently. It highlights the importance of selecting the appropriate data structure for a given problem, as different structures have varying strengths and weaknesses. The subchapter covers essential data structures such as arrays, linked lists, stacks, queues, trees, heaps, and hash tables, along with their associated algorithms for manipulation and retrieval.
143 pages, Kindle Edition
Published August 22, 2023
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