| ISBN 13 | |
|---|---|
| ISBN 10 | |
| Edition | |
| No. of Pages | |
| Type of book | |
| Weight | 560.00 g |
| Year | |
| Language | |
| Publisher | |
| Discount | 20% Off |
| Price |
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| Categories | All books, Computer Science Engineering |
| Condition Type | New |
| Country Origin | India |
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The focus of this book is on how to design good algorithms and how to analyze their efficiency. Various methods/ideas are explained with the help of examples which helps in developing fast and efficient algorithms. This book will also provide the correctness of algorithms and analyzing the algorithms. At the end of the chapters it chapters it has questions both solved and unsolved which has come in various Indian universities.
Chapter 1: Algorithm.
Chapter 2: Analyzing & Design of Algorithm.
Chapter 3: Asymptotic Growth of Function.
Chapter 4: Recursion.
Chapter 5: Hashing.
Chapter 6: Quick sort.
Chapter 7: Heap Sort.
Chapter 8: Sorting In Linear Time.
Chapter 9: Randomized Algorithm.
Chapter 10: Elementary Data Structures.
Chapter 11: Introduction To Tree.
Chapter 12: Red-Black Tree.
Chapter 13: AVL Tree.
Chapter 14: B-Tree.
Chapter 15: Binomial Tree.
Chapter 16: Graph.
Chapter 17: Graph Traversal.
Chapter 18: Directed Acyclic Graphs.
Chapter 19: Undirected Graphs.
Chapter 20: Dynamic Programming.
Chapter 21: Greedy Algorithm.
Chapter 22: String Matching.
Chapter 23: Disjoint-Set Data Structures.
Chapter 24: Sorting Network.
Chapter 25: Maximum Flow.
Chapter 26: Amortized Analysis.
Chapter 27: Approximate Algorithms.
Chapter 28: NP-Completeness.
Chapter 29: Matrix Operation.
Chapter 30: Backtracting.
Model Questions
End-Term Examination
Hitesh Singh
Hitesh Singh has done M. Tech from C-DAC, Noida, in CSE. His research area are information security, Steganography, Algorithms and Software Engineering.
Nidhi Arora
Dr. Nidhi Arora is MBA, MCA and doctorate in Computer Science. She is an author of various books and also published research papers in reputed generals.
The focus of this book is on how to design good algorithms and how to analyze their efficiency. Various methods/ideas are explained with the help of examples which helps in developing fast and efficient algorithms. This book will also provide the correctness of algorithms and analyzing the algorithms. At the end of the chapters it chapters it has questions both solved and unsol...
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The focus on the theory, algorithms, implementations and practical applications of deep learning and neural networks makes An Insight into Deep Learning and Neural Networks useful for students of Computer Science and mathematics. The book introduces neural networks starting with a quick tour of the very first ANN architectures, then covering topics such as training nets, recurr...
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1.To provide Knowledge on Probability distributions. 2. To study the algebra and its uses in solving Eigen value problems and single value decomposition problems. 3. To explain the concepts in number theory. 4. To predict a probability distribution over a set of classes given an observation of input, instead of simply outputting the most likely class to which the obser...
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INTRODUCTION TO AI & MACHINE LEARNING “Introduction to AI and Machine Learning” is a comprehensive guide designed for readers who are new to the fields of artificial intelligence (AI) and machine learning (ML) The book aims to demystify these valuable insights for those with some foundation Knowledge. This book is ideal for students and educators seeking a thoroug...
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This book covers petrochemical industry feedstocks, chemicals derived from C1, C2, C3, C4 & higher hydrocarbon atoms, synthesis gas & chemicals and petroleum aromatics. Besides, it contains comprehensive information pertaining to polymers which include plastics, synthetic fibers & elastomers and synthetic detergents. This book will serve as as reference material for...
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This book is intended for B. Tech (CS/IT), MCA and M. Tech students who want to have the basic to advanced knowledge of the design and analysis of algorithms. This book discusses various features of Algorithm design. In this 3rd edition more algorithms are added, papers of last few years are solved in chapters; few algorithms which were difficult to understand in previous edi...
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The book contains twelve chapters followed by appendices (meant for specific target reader groups) pertaining to complete domain of water pollution control engineering. Beside, it also contains two chapters devoted to short questions & answers and multiple choice questions & answers drawn from the examination papers of various engineering colleges for the benefits of th...
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“Applied Physic-l” is a compulsory paper for the first year Diploma course in Engineering & Technology. Syllabus of this books is strictly aligned as per model curriculum of AICTE, and academic content is amalgamated with the concepts of outcome-based education. Book covers six topics- Physical World, Units and Measurements; Force and Motion; Work, Power and Ene...
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“ Engineering Workshop Practice Manual” is a common paper for the first year Diploma course in Engineering & Technology. Syllabus of this book is strictly aligned as per model curriculum of AICTE and academic content is amalgamated with the concept of outcome based education. Engineering Workshop Practice manual covers five units- First unit deals with the carpentr...
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Machine learning and Machine Intelligence is a complete book to read and perform practical in computer labs. Just reading theory cannot make you perform the practical(S). The present book is the composition of both, for the convenience of the students. Many of the Degrees or Diplomas or Certification Programs are being conducted in Machine Learning and Machine Intelligence fiel...
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