LL(1)-Practicce question

Duration: 3 min

This video lesson is available to enrolled students.

Return to /learn/ISRO/toc-compiler/syntax-analysis-top-down/ll1-parser-table/asset-ll1-practicce-question after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. General Aptitude & Reasoning: Number System, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Speed Time and Distance, Mixture and Alligation, Data Interpretation, Algebra, Probability, Permutation and Combination, Venn Diagram, HCF LCM, Divisibility Rules, Age Problems, Pipe and Cistern, Partnership, Linear Algebra, Sequence and Series (Series), Statistics, Powers and Exponents (Surds and Indices), Arithmetic, Mensuration and Geometry, Calculus, Trigonometry, Vectors, Speed Mathematics and Basic Mathematics, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Analogy, Series (Number and Letter Series) (Numerical Relations and Reasoning), Puzzle Solving (Puzzles), Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Calendar, Seating Arrangements, Coding Decoding, Blood Relations, Directions (Direction Test), Clock, Analytical Reasoning (Counting Figures Reasoning), Ranking, Order and Sequence, Logical Sequence Of Words, Inequality, Data Sufficiency, Cubes & Dices
  3. Computer Networks & Cybersecurity: Introduction to CN, Data Communication, 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, Application Layer, Hardware Basics, Network Security
  4. Programming, Data Structures & Algorithms: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, OOPS with C++, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  5. AI, Machine Learning, Big Data & Cloud: Emerging Tech Trends, Artificial Intelligence, Big Data Systems, Approaches to AI, Search Algorithms, Knowledge Representation, Cloud Computing
  6. Digital Logic & Computer Organization: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, 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. TOC & Compiler: 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, 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
  8. Discrete Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic
  9. Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS, Linux OS, Distributed Systems
  10. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Object Oriented Technology, HTML Basics, JavaScript-Basics, Java, XML
  11. Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, Data Warehousing & Mining, Enhanced Data Models, NoSQL
  12. Other Recurring CS Topics: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, Multimedia
  13. Live Classes: ISRO Live classes
  14. Full Mock Test:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video features a lecture on Context-Free Grammars (CFG) and LL(1) parsing. The instructor analyzes four distinct grammars displayed on a whiteboard to determine their validity or properties. He systematically checks for left recursion and common prefixes, using red ink to highlight specific variables and terminals. He employs set notation, such as 'intersection = phi,' to verify that FIRST and FOLLOW sets are disjoint, a key requirement for LL(1) grammars. The watermark 'KnowledgeGate' indicates this is an educational resource.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor begins by examining the top-left grammar: S -> (L) / a, L -> SL', L' -> ,SL' / epsilon. He uses red ink to circle the 'L' in the production S -> (L) and the 'L' in L -> SL' to check for left recursion, finding none. He then moves to the bottom-left grammar: S -> aA / bB, A -> Bb / a, B -> bB / c. He circles the 'A' in S -> aA and the 'B' in S -> bB. Crucially, he circles the 'B' in A -> Bb to check for left recursion. He writes 'a n b = phi' and 'b, c n a = phi' on the board, indicating that the FIRST sets of the alternative productions are disjoint. This mathematical notation confirms that the grammar satisfies the LL(1) condition. He places a red checkmark next to the grammar, signifying it is valid.

  2. 2:00 – 2:49 02:00-02:49

    Next, the instructor analyzes the bottom-right grammar: S -> aAbB, A -> a / epsilon, B -> b / epsilon. He circles the non-terminal 'A' in the start production and then circles 'a' and 'epsilon' in the production for A. Similarly, he circles 'b' and 'epsilon' for B. He writes 'n phi' to show that the intersection of the relevant sets is empty. This confirms that the grammar is unambiguous and suitable for LL(1) parsing. He places a checkmark next to this grammar as well. The top-right grammar (S -> AB, A -> a, B -> b) remains visible but is not the primary focus of this specific analysis segment.

The video provides a step-by-step tutorial on verifying if Context-Free Grammars are LL(1). The instructor uses a whiteboard to display four different grammars and systematically applies the rules for LL(1) parsing. He checks for left recursion by circling variables and ensures that FIRST sets of alternative productions are disjoint by writing set intersection equations equal to phi. By marking each valid grammar with a checkmark, he reinforces the theoretical concepts necessary for constructing predictive parsers. The 'KnowledgeGate' watermark suggests this is part of an educational series.

Loading lesson…