K-ary Tree Practice Question 3

Duration: 2 min

This video lesson is available to enrolled students.

Return to /learn/AMCAT-PREPARATION/data-structures/tree/advanced-k-ary-trees/asset-k-ary-tree-practice-question-3 after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. Quantitative Ability: Percentage, Profit and Loss, Ratio and Proportion (Ratios), Average, Time and Work, Speed Time and Distance, Simple Interest and Compound Interest, Age Problems, Number System, Divisibility Rules, HCF LCM, Algebra, Permutation and Combination, Probability, Data Interpretation, Logarithm, Sequence and Series (Series), Powers and Exponents (Surds and Indices), Speed Mathematics and Basic Mathematics
  2. Logical Reasoning: Seating Arrangements, Puzzle Solving (Puzzles), Data Arrangement, Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Data Sufficiency, Venn Diagram, Inequality, Series (Number and Letter Series) (Numerical Relations and Reasoning), Logical Sequence Of Words, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Analogy, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning)
  3. Verbal Ability: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Subject Verb Agreement (Verb Noun Agreement), Tenses, Articles, Preposition, Conjunction, Modals, Active Passive Voice (Voice), Direct and Indirect Speech, Vocabulary, Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Completion (Fill in the blanks), Sentence Correction (Error Correction), Cloze Test (Cloze Passage), Facts, Inference and Judgements
  4. Programming Fundamentals (Technical): C Fundamentals
  5. Data Structures (Technical): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  6. Algorithms (Technical): Algorithm Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Time Complexity Analysis, Advanced Algorithms
  7. OOPs (Technical): Object Oriented Programming (OOPS)
  8. DBMS (Technical): Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, ORDBMS, Database Security & Authorization, Query Processing & Optimization, Enhanced Data Models, Data Warehousing & Mining, Big Data Systems, NoSQL
  9. SQL (Technical): SQL
  10. Operating Systems (Technical): Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS, Linux OS, Security, Distributed Systems, Virtual Machines
  11. Computer Networks (Technical): 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, Mobile Technology, Cloud Computing and IoT, Cyber and Info Security
  12. Software Engineering (Technical): Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  13. Coding/Automata Round: Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir, Pseudo Codes
  14. Personality / Behavioral Assessment: Behavioral Assessment (Behavioral Competency Profiling) (Psychometric Test)
  15. Writing Assessment: English Writing Ability
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video segment presents a practice problem involving the calculation of internal nodes within a full k-ary tree. The instructor begins by defining the problem parameters: a total node count of n=85 and an arity of k=4. The core teaching objective is to apply the mathematical relationship between total nodes, internal nodes, and edges in a k-ary tree structure. By establishing that the number of total edges equals n minus 1, the instructor derives a formula where k times the internal nodes (I) equals the total edges. This leads to the calculation 4I = 84, resulting in 21 internal nodes. The lesson concludes by determining the number of leaf nodes through subtraction, reinforcing the structural properties of full k-ary trees.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor introduces a problem statement visible on screen: 'Q. A full 4-ary tree contains 85 nodes. Find the number of internal nodes.' He explicitly writes down the given variables n=85 and k=4 to classify the structure as a 4-ary Tree. The instructor then calculates the total edges using the property that edges equal n minus 1, resulting in a value of 84. He introduces the fundamental formula for k-ary trees, writing '4I = n - 1' on the board to relate internal nodes (I) to the total edge count. This section establishes the theoretical framework required for solving the specific numerical problem presented.

  2. 2:00 – 2:14 02:00-02:14

    In the final segment, the instructor executes the algebraic solution derived in the previous window. He substitutes the calculated edge count into the formula, writing '4I = 84' and solving for I to find that there are exactly 21 internal nodes. The instructor then verifies the result by calculating the number of leaf nodes (L) using the relationship L = n - I, which yields 64 leaves. The visible text 'I = (84/4)' confirms the arithmetic step, and the final answer is presented as a complete solution to the practice question regarding full 4-ary tree properties.

The video demonstrates a systematic approach to solving k-ary tree problems by first identifying given parameters (n and k) and then applying structural properties. The key concept is the relationship between internal nodes and edges, expressed as kI = n - 1. This formula allows for the direct calculation of internal nodes without needing to draw the entire tree structure. The method relies on the fact that in a full k-ary tree, every internal node contributes exactly k edges to the total count. The instructor's progression from problem statement to variable identification, formula application, and final arithmetic verification provides a clear pedagogical model for students tackling similar graph theory questions.

Loading lesson…