Advanced Data Structures
OBJECTIVES:
Describe and implement a range of advanced knowledge structures (hash tables, priority queues, balanced search trees, graphs).
Analyze the area and time quality of the algorithms studied within the course.
establish completely different|completely different} solutions for a given problem; analyze blessings and downsides to different solutions.
Demonstrate Associate in Nursing understanding of external memory and external search and sorting algorithms.
Demonstrate Associate in Nursing understanding of easy Entity-Relationship models for databases.
UNIT-I:
SORTING External Sorting, Introduction, K-way Merging – Buffer Handling for parallel Operation- Run Generation- best Merging of Runs.
UNIT-II:
HASHING Introduction-Static Hashing- Hash Table- Hash Functions- Secure Hash Function- Overflow Handling- Theoretical analysis of Overflow Techniques, Dynamic Hashing- Motivation for Dynamic Hashing -Dynamic Hashing victimisation Directories- Directory less Dynamic, Hashing,
UNIT-III:
PRIORITY QUEUES (HEAPS) Model, straightforward Implementation, Binary Heap-Structure Property-Heap-Order Property-Basic Heap Operations- alternative Heap Operation, Applications of Priority Queues- the choice downside Event Simulation downside, Binomial Queues- Binomial Queue Structure – Binomial Queue Operation- Implementation of Binomial Queues
UNIT-IV:
economical BINARY SEARCH TREES best Binary Search Trees, AVL Trees, Red-Black Trees, Definition- illustration of a Red- Black Tree- looking out a Red-Black Tree- Inserting into a Red Black Tree- Deletion from a Red-Black Tree- connection Red-Black Trees, rending a Red-Black tree.
UNIT-V:
MULTIWAY SEARCH TREES M-Way Search Trees, Definition Associate in Nursingd Properties- looking out an M-Way Search Tree, B-Trees, Definition and Properties- range of parts during a B-tree- Insertion into B-Tree- Deletion from a B-Tree- B+-Tree Definition- looking out a B+-Tree- Insertion into B+-tree- Deletion from a B+-Tree.
II Year – II Semester L T P C four zero zero three
UNIT-VI:
DIGITAL SEARCH STRUCTURES Digital Search Trees, Definition- Search, Insert and Delete- Binary tries and Patricia, Binary Tries, Compressed Binary Tries- Patricia, Multiway Tries- Definitions- looking out a Trie- Sampling Strategies- Insertion into a Trie- Deletion from a Trie- Keys with totally different Length- Height of a Trie- area needed and different Node Structure- Prefix Search and Applications- Compressed Tries- Compressed Tries With Skip Fields- Compressed Tries With labelled Edges- area needed by a Compressed Tries, Tries and web Packet Forwarding ,IP Routing- 1-Bit Tries- Fixed-Stride Tries-Variable-Stride Tries.
OUTCOMES:
Be ready to perceive and apply amortised analysis on knowledge structures, together with binary search trees, mergable plenty, and disjoint sets.
perceive the implementation and quality analysis of basic algorithms like RSA, property testing, max flow, distinct Fourier rework. Have an inspiration of applications of algorithms during a sort of areas, together with applied mathematics and duality, string matching, game-theory
TEXT BOOKS:
1. knowledge Structures, a Pseudocode Approach, Richard F Gilberg, Behrouz A Forouzan, Cengage.
2. Fundamentals of knowledge Structures in C++, Ellis pianist, Sartaj Sahni and Dinesh Mehta, second Edition, Universities Press (India) Pvt. Ltd 3. knowledge structures and algorithmic rule Analysis in C++, second Edition, Mark Allen Weiss, Pearson
REFERENCE BOOKS:
one. internet : http://lcm.csa.iisc.ernet.in/dsa/dsa.html 2. http://utubersity.com/?page_id=878 three. http://freevideolectures.com/Course/2519/C-Programming-and-Data-Structures four. http://freevideolectures.com/Course/2279/Data-Structures-And-Algorithms five. File Structures :An Object destined approach with C++, 3rd ed, Michel J folks, Greg Riccardi, Bill Zoellick vi. C and knowledge Structures: A Snap Shot destined written material with Live examples from Science and Engineering, NB Venkateswarlu Prasad, S Chand, 2010
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