K-ary Tree Practice Question 8

Duration: 2 min

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Module outline

  1. English Comprehension/Verbal Ability: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Vocabulary, Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Subject Verb Agreement (Verb Noun Agreement), Tenses, Verb, Articles, Preposition, Conjunction, Pronoun, Noun, Adjectives, Adverb, Modals, Cloze Test (Cloze Passage), Active Passive Voice (Voice), Direct and Indirect Speech, Sentence Construction
  2. Logical Ability: Coding Decoding, Directions (Direction Test), Analogy, Inequality, Data Sufficiency, Series (Number and Letter Series) (Numerical Relations and Reasoning), Syllogisms, Seating Arrangements, Puzzle Solving (Puzzles), Blood Relations, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Ranking, Order and Sequence, Logical Sequence Of Words, Data Arrangement, Venn Diagram, Calendar, Clock
  3. Quantitative Ability: Logarithm, Permutation and Combination, Probability, Profit and Loss, Speed Time and Distance, Mixture and Alligation, Partnership, Simple Interest and Compound Interest, Percentage, Ratio and Proportion (Ratios), Average, Time and Work, Pipe and Cistern, Number System, Divisibility Rules, HCF LCM, Algebra, Powers and Exponents (Surds and Indices), Mensuration and Geometry, Age Problems, Data Interpretation, Sequence and Series (Series)
  4. Basic Analytical Ability: Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Analytical Reasoning (Counting Figures Reasoning), Cubes & Dices, Selection Decision Table (Decision Making)
  5. Computer Programming: Pseudo Codes, Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir
  6. DBMS (Computer Science): Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Transaction Management, Concurrency Control, Database Security & Authorization
  7. SQL (Computer Science): SQL
  8. OS (Computer Science): Introduction to OS, Process Management, CPU Scheduling, Deadlock, Process Synchronization, Threads & Process Creation, Memory Management, Virtual Memory, File Management
  9. Computer Networks (Computer Science): 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
  10. Data Structures (Computer Science): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  11. OOPs (Computer Science): Object Oriented Programming (OOPS)
  12. Software Engineering (Computer Science): Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  13. SVAR Conversational - Spoken English: Communication Assessment
  14. HR Interview: MR & HR Interview Preparation
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video segment presents a practice problem on k-ary trees, specifically focusing on calculating the branching factor k given leaf and internal node counts. The instructor systematically guides students through identifying known variables, calculating total nodes, and applying a fundamental tree relationship formula to derive the solution. The problem statement is clearly displayed on screen, establishing that a full k-ary tree contains 67 leaf nodes and 33 internal nodes, with the objective being to find k. The instructional flow moves from variable identification to arithmetic calculation and finally algebraic manipulation using the edge-node relationship.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor introduces a problem involving a full k-ary tree with 67 leaf nodes and 33 internal nodes, asking to find the value of k. He begins by defining variables for leaf nodes (L) and internal nodes (I), then calculates the total number of nodes (n) by summing L and I. On-screen text displays 'Q. A full k-ary tree contains 67 leaf nodes and 33 internal nodes. Find the value of k.' The instructor writes 'L = 67' and 'I = 33', then applies the formula 'n = L + I' resulting in '67 + 33'. Subsequently, the total nodes n is calculated as 100. The instructor then introduces the relationship formula 'kI = n - 1', substituting values to get 'k * 33 = 99'. This establishes the core algebraic equation needed to solve for k, demonstrating the standard method for determining branching factors in full trees using node counts.

  2. 2:00 – 2:02 02:00-02:02

    The final calculation step is shown where the instructor solves for k by dividing 99 by 33, resulting in 'k = 3 Ans'. The screen displays the completed solution with the final answer clearly marked. This concludes the problem-solving process, verifying that a full k-ary tree with 67 leaves and 33 internal nodes must have a branching factor of 3. The visual evidence confirms the mathematical derivation is complete and the answer is explicitly stated.

The video demonstrates a standard approach to solving k-ary tree problems by leveraging the relationship between internal nodes, total edges, and branching factor. The key formula kI = n - 1 connects the number of internal nodes (I) to total edges, which equals total nodes minus one. By calculating n = L + I first, students can substitute known values into the equation to isolate k. This method is universally applicable to full k-ary trees where every internal node has exactly k children. The problem illustrates how structural properties of trees allow algebraic solutions without needing to draw the entire tree structure.

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