Searching An Element In Link List Using Loop

Duration: 5 min

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Module outline

  1. About Course: About the Course
  2. Paper 1 | General Studies: State Wise GK
  3. Paper 1 | Information and Communication Technology: Role of Internet and Web Services, Security in Mobile and Wireless Computing
  4. Paper 1 | Current Affairs: GK- Current Affairs
  5. Paper 2 | Discrete Mathematical Structure: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Probability
  6. Paper 2 | Digital Computer Organization And Architecture: Number System, Number Representation, Sequential Circuits, Combinational Circuit, Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer
  7. Paper 2 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  8. Paper 2 | Programming Languages & Object-Oriented Programming Concepts: Java, OOPS with C++, Java Fundamentals, Array, String, IO & References
  9. Paper 2 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  10. Paper 2 | Data Structure And Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Minimum Spanning Trees, Advanced Algorithms
  11. Paper 2 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS
  12. Paper 2 | Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory
  13. Paper 2 | Compiler Design: Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  14. Paper 2 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, Transaction Management, Concurrency Control, Database Recovery, Database Security & Authorization, Enhanced Data Models
  15. Paper 2 | Computer Network And Information Security: Introduction to CN, Data Communication, Application Layer, Hardware basics, Cyber Threats and Malware Attacks, Network Security, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP
  16. Paper 2 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  17. Paper 2 | Current Trends & Technologies: Emerging Tech Trends, Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Planning, Multi Agent Systems, Fuzzy Sets, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms, Artificial Intelligence, Data Warehousing & Mining, Electronic Data Interchange and E-Commerce, Terms & Abbreviations
  18. Paper 2 | Full Length Mock Tests:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video lecture focuses on implementing iterative search algorithms for linked lists. The instructor begins by addressing the general problem of searching for a key in an unsorted linked list, providing pseudo-code that traverses the list node by node until the key is found or the end is reached. The lesson then progresses to a more optimized scenario: searching within a sorted linked list arranged in increasing order. Here, the instructor demonstrates how the sorted property allows for an early termination condition. If the current node's value exceeds the target key, the search can immediately conclude that the key is not present, saving unnecessary iterations compared to the general linear search approach.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor introduces the problem of writing pseudo-code to search for a key in a linked list iteratively. He displays a diagram of a linked list containing nodes 'a', 'b', 'c', and 'd'. The on-screen code defines a function `What` that takes a head pointer and a key. The logic initializes a pointer `ptr` to `head` and enters a `while` loop that continues as long as `ptr` is not NULL. Inside the loop, an `If` statement checks if `ptr->data` equals the `key`. If the condition is met, the function returns the current pointer. Otherwise, the `else` block executes `ptr = ptr->next` to move to the subsequent node. If the loop finishes without finding the key, the function returns NULL. The instructor traces this process by searching for 'c', showing `ptr` advancing from 'a' to 'b' and finally stopping at 'c' where the match is found.

  2. 2:00 – 5:00 02:00-05:00

    The lecture transitions to a modified problem: searching in a sorted linked list in increasing order. The diagram updates to show a list with values 10, 20, 30, and 40. The pseudo-code is revised to include an optimization. The `If` condition remains `ptr->data == key`. However, the `Else` block is split. An `Else if(ptr->data < key)` condition checks if the current value is smaller than the key; if so, it proceeds to the next node. Crucially, a final `Else` block handles the case where `ptr->data > key`. In this scenario, the code immediately returns NULL. The instructor explains that because the list is sorted, finding a value greater than the target key guarantees the key is not in the list. He traces a search for 25, showing the pointer moving past 10 and 20, but stopping at 30. Since 30 is greater than 25, the algorithm returns NULL, demonstrating the efficiency gain over the unsorted search.

The video effectively contrasts two search strategies for linked lists. The first method is a standard linear search applicable to any list structure, requiring a full traversal in the worst case. The second method leverages the sorted nature of the data to introduce a pruning condition. By checking if the current node's value exceeds the target, the algorithm can terminate early, avoiding unnecessary comparisons. This progression highlights how data structure properties, such as ordering, can be exploited to optimize algorithmic performance.

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