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| ISBN 13 | |
|---|---|
| ISBN 10 | |
| Edition | |
| No. of Pages | |
| Type of book | |
| Weight | 537.00 g |
| Year | |
| Language | |
| Publisher | |
| Save | ₹87.5 (25% Off) |
| Price |
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| Categories | Computer Science Engineering |
| Condition Type | New |
| Country Origin | India |
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This book is an ideal test to provide in depth knowledge on design and analysis of algorithm. The purpose of the book is to make the students understand the fundamentals of design and analysis of algorithm conveniently. It is meant to be used as a text book for BSc/BCA/MCA/MSc/ B.E./B. Tech/MSc/MS/M. Tech and diploma courses, and as a reference book.
UNIT – 1
Chapter 1: Data Structure Basics.
Chapter 2: Analysis of Algorithms.
Chapter 3: Growth of Functions.
Chapter 4: Sorting Algorithms.
UNIT – 2
Chapter 1: B-trees: Balanced Trees.
Chapter 2: Binary Search Trees.
Chapter 3: Disjoint Sets.
UNIT – 3
Chapter 1: Dynamic Programming.
Chapter 2: The Greedy Method.
Chapter 3: Backtracking.
Chapter 4: Divide and Conquer.
Chapter 5: Branch and Bound.
UNIT – 4
Chapter 1: Graphs.
Chapter 2: Single-Source Shortest Path.
Chapter 3: All-Pairs Shortest Paths.
Chapter 4: Dijkstra’s Algorithm.
Chapter 5: Minimum-Cost Spanning Trees.
UNIT – 5
Chapter 1: String Matching.
Chapter 2: Randomization.
Chapter 3: Amortized Analysis of Data Structure.
Jatinder Singh
Er. Jatinder Singh (Asst. Professor) Dept. of I.T. , S.S.S. College of Engg. And Tech. Gurdaspur (PB).
9763 Views
Keywords to revise the work and huge emphasis on relevant figure work. Special focus on process, memory, storage and input output management. Special chapters on the networks, distributed and multiprocessing. Review questions and other exercises are provided at the end of each chapter enabling the readers to touch the core of the subject. excellent organization of material, kee...
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11937 Views
This book is an ideal test to provide in depth knowledge on design and analysis of algorithm. The purpose of the book is to make the students understand the fundamentals of design and analysis of algorithm conveniently. It is meant to be used as a text book for BSc/BCA/MCA/MSc/ B.E./B. Tech/MSc/MS/M. Tech and diploma courses, and as a reference book.
Buy now
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Salient features of this book: AICTE recommended book for Indian Universities and Autonomous colleges. This book can be used as a self study material or for instructor assisted teaching. Frequent questions for interviews and examinations are provided. Topics Covered in this Book Chapter 1. Introduction to Machine LearningChapter 2. RegressionChapter 3. Classificati...
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Handbook Of Case Studies (On Valuation of Property, Plant and Equipment), (Volume - Ⅰ) “Hand book of Case Studies: On Valuation of Property, Plant, and Equipment (Volume - Ⅰ)” offers a comprehensive and practical guide for students and professional aiming to develop Expertise in valuation report writing within the field of PPE. Drawing on real-world examples and deta...
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Through working professionals need to spend enough time to learn the state-of-art-technology to improve the existing system, it may be very difficult for them to spare enough time to cope with the tremendous technological changes take it is designed and developed keeping view of their requirements. The main objective of this book is to enable the professionals to identify, upda...
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“Fundamentals of Electrical & Electronics Engineering” is a compulsory 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. Books covers six topics- Overview of Electronics Components and Sign...
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11937 Views
This book is an ideal test to provide in depth knowledge on design and analysis of algorithm. The purpose of the book is to make the students understand the fundamentals of design and analysis of algorithm conveniently. It is meant to be used as a text book for BSc/BCA/MCA/MSc/ B.E./B. Tech/MSc/MS/M. Tech and diploma courses, and as a reference book.
Buy now
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This book introduces you to the Big Data processing techniques addressing but not limited to various BI (business intelligence) requirements, such as reporting, batch analytics, online analytical processing (OLAP), data mining and Warehousing, and predictive analytics. The book has been written on IBMs Platform of Hadoop framework. IBM Info sphere Big Insight has the highe...
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