Dimri, Sushil C.,
Algorithms : Design and Analysis / Mangey Ram, Preeti Malik, Sushil C. Dimri. - 1 online resource (X, 168 p.) - De Gruyter Textbook .
restricted access http://purl.org/coar/access_right/c_16ec
Algorithms play a central role both in the theory and in the practice of computing. The goal of the authors was to write a textbook that would not trivialize the subject but would still be readable by most students on their own. The book contains over 120 exercises. Some of them are drills; others make important points about the material covered in the text or introduce new algorithms not covered there. The book also provides programming projects. From the Table of Contents: Chapter 1: Basic knowledge of Mathematics, Relations, Recurrence relation and Solution techniques, Function and Growth of functions. Chapter 2: Different Sorting Techniques and their analysis. Chapter 3: Greedy approach, Dynamic Programming, Branch and Bound techniques, Backtracking and Problems, Amortized analysis, and Order Statics. Chapter 4: Graph algorithms, BFS, DFS, Spanning Tree, Flow Maximization Algorithms. Shortest Path Algorithms. Chapter 5: Binary search tree, Red black Tree, Binomial heap, B-Tree and Fibonacci Heap. Chapter 6: Approximation Algorithms, Sorting Networks, Matrix operations, Fast Fourier Transformation, Number theoretic Algorithm, Computational geometry Randomized Algorithms, String matching, NP-Hard, NP-Completeness, Cooks theorem.
Mode of access: Internet via World Wide Web.
In English.
9783110693607
10.1515/9783110693607 doi
Algorithmen.
Datenstrukturen.
Künstliche Intelligenz.
Maschinelles Lernen.
COMPUTERS / Programming / Algorithms.
Algorithms. Computational Theory. Computing. Theoretical Computer Science.
Algorithms : Design and Analysis / Mangey Ram, Preeti Malik, Sushil C. Dimri. - 1 online resource (X, 168 p.) - De Gruyter Textbook .
restricted access http://purl.org/coar/access_right/c_16ec
Algorithms play a central role both in the theory and in the practice of computing. The goal of the authors was to write a textbook that would not trivialize the subject but would still be readable by most students on their own. The book contains over 120 exercises. Some of them are drills; others make important points about the material covered in the text or introduce new algorithms not covered there. The book also provides programming projects. From the Table of Contents: Chapter 1: Basic knowledge of Mathematics, Relations, Recurrence relation and Solution techniques, Function and Growth of functions. Chapter 2: Different Sorting Techniques and their analysis. Chapter 3: Greedy approach, Dynamic Programming, Branch and Bound techniques, Backtracking and Problems, Amortized analysis, and Order Statics. Chapter 4: Graph algorithms, BFS, DFS, Spanning Tree, Flow Maximization Algorithms. Shortest Path Algorithms. Chapter 5: Binary search tree, Red black Tree, Binomial heap, B-Tree and Fibonacci Heap. Chapter 6: Approximation Algorithms, Sorting Networks, Matrix operations, Fast Fourier Transformation, Number theoretic Algorithm, Computational geometry Randomized Algorithms, String matching, NP-Hard, NP-Completeness, Cooks theorem.
Mode of access: Internet via World Wide Web.
In English.
9783110693607
10.1515/9783110693607 doi
Algorithmen.
Datenstrukturen.
Künstliche Intelligenz.
Maschinelles Lernen.
COMPUTERS / Programming / Algorithms.
Algorithms. Computational Theory. Computing. Theoretical Computer Science.