DAG Practice Question 3

Duration: 6 min

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Module outline

  1. General Intelligence & Reasoning: Analogy, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Logical Sequence Of Words, Syllogisms, Venn Diagram, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Data Sufficiency, Puzzle Solving (Puzzles), Data Arrangement, Cubes & Dices, Calendar, Clock, Arithmetic, Number System, HCF LCM, Verbal Analogy (Word Based Analogy), Visual Recognition and Figure Completion, Paper Folding and Cutting, Transformation of Shapes, Clocks and Calendars, Direction Sense, Cubes and Dice, Patterns in Two-Dimensional Figures, Seating Arrangements, Analogy and Classification, Logical Deduction and Induction, Alphabet and Word Tests, Mathematical Operations, Series Completion, Simplification and Approximation, Coding and Decoding, Numerical Reasoning, Assembling and Grouping of Shapes, Three-Dimensional Patterns and Visualization, Vocabulary, Number System, Averages, Mixtures and Alligation, Simple and Compound Interest, Percentages, Algebra, Speed, Time and Distance, Seating and Arrangement Puzzles, Traverse Surveying, Order, Ranking and Sequence, Constraint Puzzles, Syllogisms and Venn Diagrams, Reading Comprehension, Critical Reasoning, Permutations and Combinations, Narrative Sequencing, Project Monitoring, Resources and Safety, Profit, Loss and Discount, Ratio and Proportion, Time and Work, Mensuration, Data Interpretation, Powers, Surds and Logarithms, Sequences and Series, Articles and Determiners, Sentence Completion, Data Sufficiency, Blood Relations, Simple Interest and Compound Interest, Mixture and Alligation, Sequence and Series (Series), Speed Time and Distance, Algebra, Profit and Loss, Powers and Exponents (Surds and Indices), Permutation and Combination
  2. General Awareness: Physics, Chemistry, Biology, History, Geography, Polity, Indian Economy, Environment, Static General Knowledge, GK- Current Affairs, Artificial Intelligence, MS Office Applications, Terms & Abbreviations, Keyboard Shortcuts, Evolution of Indian Banking (Banking & Financial Awareness), Emerging Tech Trends
  3. Engineering Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Linear Algebra, Calculus, Probability, Statistics, Signal Space and Optimum Detection, Probability, Statistics
  4. Digital Logic: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Floating Point Rep, Number Systems and Codes, Registers and Counters, Boolean Algebra and Logic Gates, Microprocessors and Microcontrollers, Logic Families and CMOS Logic, Microprocessors, Logic Gates and Boolean Algebra, Minimization of Boolean Functions, Timing, Hazards and Testing, Logic Families, Combinational Logic Design, Arithmetic Circuits, Waveform Generators and Timer Circuits, Semiconductor Memories and Programmable Logic Devices, Combinational Logic Circuits, Latches and Flip-Flops, Finite State Machines, Sequential Circuits and State Machines, Minimization of Boolean Functions, Arithmetic Circuits, Latches and Flip-Flops, Number Systems and Codes, Registers and Counters
  5. Computer Organisation & Architecture: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Programming the Basic Computer, Register Transfer and Microoperations, Semiconductor Memories and Programmable Logic, Processor Organization and Instructions, Memory Hierarchy and Input/Output, Registers and Counters
  6. Programming & Data Structures: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, HTML Basics, OOPS with C++, Java, Object Oriented Technology
  7. Databases: 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, Database Security & Authorization
  8. Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos
  9. 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
  10. 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
  11. Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Security, Windows OS, Distributed Systems, Unix OS, Linux OS
  12. Computer Networks: Introduction to CN, 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, Data Communication, Website, Browser & Services, Web Design & Development, Network Security, Cyber Threats and Malware Attacks, Cyber Safety and Security
  13. Full Length Mock Tests:
  14. Sectional Tests:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This lecture segment focuses on constructing a Directed Acyclic Graph (DAG) from a complex arithmetic expression to optimize storage by identifying and sharing common sub-expressions. The instructor presents the problem: (a+b+c)*(a+b)+(a+b+c)*(a+b)+(a+b+c), asking students to determine the total number of nodes and edges in the resulting DAG. The teaching flow moves from analyzing the expression to breaking it down into components, identifying repeated terms like (a+b+c) and (a+b), and then systematically drawing the graph structure. The process emphasizes merging identical subtrees to minimize redundancy, contrasting with a standard expression tree where such terms would be duplicated. The session concludes by counting the final graph elements, establishing 8 nodes and 10 edges as the solution.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor introduces the problem by writing the arithmetic expression (a+b+c)*(a+b)+(a+b+c)*(a+b)+(a+b+c) on the board. He underlines the repeated sub-expression (a+b+c) to highlight optimization opportunities, explicitly stating that a DAG will be constructed for this expression. The visible text on screen asks for the total number of nodes and edges in the DAG, setting the objective for the lesson. The instructor begins breaking down the expression into manageable parts, focusing on operator precedence and grouping to prepare for graph construction.

  2. 2:00 – 5:00 02:00-05:00

    The instructor proceeds to draw the DAG structure, starting with leaf nodes for variables a, b, and c. He connects these to addition operator nodes, demonstrating how the sub-expression (a+b+c) is formed. He then highlights the term (a+b) as another common sub-expression that can be shared within the graph. The instructor draws green arrows to trace connections, showing how nodes for (a+b+c) and (a+b) are reused rather than duplicated across the three main terms of the original expression. This visual mapping correlates specific parts of the formula with their corresponding nodes in the diagram.

  3. 5:00 – 5:37 05:00-05:37

    The instructor finalizes the graph construction and performs a count of the total elements. He points to shared sub-expressions in the completed graph to verify that no nodes were unnecessarily duplicated. The final solution is written on the board as 8 nodes and 10 edges, concluding the problem-solving process. This count represents the optimized structure where common terms like (a+b+c) and (a+b) are represented by single nodes with multiple incoming edges from different operators, demonstrating the efficiency of DAGs over standard expression trees.

The core educational value of this session lies in understanding how Directed Acyclic Graphs optimize arithmetic expression representation. Unlike a binary tree where every operation creates new nodes, a DAG allows multiple parents to point to the same child node. In this specific example, the term (a+b+c) appears three times in the expression but is represented by a single node structure in the DAG. Similarly, (a+b) appears twice and shares a node. The instructor's method of underlining repeated terms before drawing the graph serves as a heuristic for students to identify optimization candidates. The final count of 8 nodes and 10 edges is derived by summing the unique variable nodes (a, b, c), the unique operator nodes for additions and multiplications, and accounting for the shared edges that connect these components without duplication. This technique is fundamental in compiler design for intermediate code generation and optimization.

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