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A Guide To Efficient Programming: Get A Guide To Optimizing Data Structure And Algorithm
This book is an essential read for anyone looking to gain a comprehensive understanding of Data Structure & Algorithm.
This book is the perfect introduction to the complex world of Data Structures & Algorithms. Written by an experienced educator in the field, the book is self-contained and does not require any prior knowledge of data structures or algorithms. All algorithms featured in the book (unless otherwise stated) were designed by the author using the theory of the algorithm as a guideline. With this book, readers will gain a comprehensive understanding of which data structure or algorithm to use for a certain scenario, and why this can be essential in projects, especially those related to performance. Each chapter covers topics such as Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs, and Strings, which are all illustrated through examples. The algorithms are presented in a way that is easy to understand and all programs included have been tested. Furthermore, the algorithms are provided in pseudocode so that readers can implement them in a programming language of their choice. Discover the absolute necessity of understanding Data Structure & Algorithm with this comprehensive guide.
This book is the perfect introduction to the complex world of Data Structures & Algorithms. Written by an experienced educator in the field, the book is self-contained and does not require any prior knowledge of data structures or algorithms. All algorithms featured in the book (unless otherwise stated) were designed by the author using the theory of the algorithm as a guideline. With this book, readers will gain a comprehensive understanding of which data structure or algorithm to use for a certain scenario, and why this can be essential in projects, especially those related to performance. Each chapter covers topics such as Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs, and Strings, which are all illustrated through examples. The algorithms are presented in a way that is easy to understand and all programs included have been tested. Furthermore, the algorithms are provided in pseudocode so that readers can implement them in a programming language of their choice. Discover the absolute necessity of understanding Data Structure & Algorithm with this comprehensive guide.
156 pages, Kindle Edition
Published August 12, 2023
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