Quadratic Probing
Duration: 2 min
This video lesson is available to enrolled students.
Inside: a video lesson and guided study material.
Module outline
- Quantitative Aptitude: Number System, Divisibility Rules, HCF LCM, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Simple Interest and Compound Interest, Mixture and Alligation, Partnership, Age Problems, Time and Work, Pipe and Cistern, Speed Time and Distance, Algebra, Arithmetic, Data Interpretation, Sequence and Series (Series), Logarithm, Powers and Exponents (Surds and Indices), Permutation and Combination, Probability, Speed Mathematics and Basic Mathematics, Trigonometry
- Logical Reasoning: Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Seating Arrangements, Puzzle Solving (Puzzles), Data Arrangement, Syllogisms, Inequality, Data Sufficiency, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Series (Number and Letter Series) (Numerical Relations and Reasoning), Venn Diagram, Logical Sequence Of Words, Calendar, Clock, Cubes & Dices, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning)
- Verbal Ability: Noun, Pronoun, Adjectives, Verb, Adverb, Tenses, Subject Verb Agreement (Verb Noun Agreement), Articles, Preposition, Conjunction, Modals, Determiner, Vocabulary, Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Cloze Test (Cloze Passage), Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Active Passive Voice (Voice), Direct and Indirect Speech, Sentence Construction
- Data Structures (Domain Test): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
- Algorithms (Domain Test): Algorithm Analysis, Sorting Algorithms, Time Complexity Analysis, Greedy Algorithms
- OOPs (Domain Test): Object Oriented Programming (OOPS)
- DBMS (Domain Test): 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
- SQL (Domain Test): SQL
- Operating Systems (Domain Test): 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
- Computer Networks (Domain Test): 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
- Coding: Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir
- Written English Test: English Writing Ability
- Psychometric Test: Behavioral Assessment (Behavioral Competency Profiling) (Psychometric Test)
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
The video lecture by Sanchit Jain Sir explains Quadratic Probing, a collision resolution strategy for closed hashing tables. The instructor defines the method as taking the original hash index and adding successive values of an arbitrary quadratic polynomial until an open slot is found. The lecture highlights advantages, noting that quadratic probing is more efficient because it better avoids the clustering problem associated with linear probing, though it is not immune. It also provides good memory caching by preserving some locality of reference. However, linear probing is noted to have greater locality and better cache performance. A disadvantage is listed, stating quadratic probing lies between the two in terms of cache performance and clustering. The instructor visually reinforces these concepts by writing the probing sequence L, L+1^2, L+2^2, L+3^2, and L+4^2 on the screen. He also sketches a linked list diagram to illustrate memory management.
Chapters
0:00 – 1:36 00:00-01:36
The instructor, Sanchit Jain Sir, presents a slide defining quadratic probing as taking the original hash index and adding successive values of an arbitrary quadratic polynomial until an open slot is found. He moves to the Advantage section, underlining phrases like better avoids the clustering problem and linear probing, explaining that while quadratic probing is more efficient in closed hashing tables, it is not immune to clustering. He underlines text regarding good memory caching and preserves some locality of reference, contrasting this with linear probing which has greater locality and better cache performance. Under Disadvantage, he underlines that quadratic probing lies between the two in terms of cache performance and clustering. He writes the sequence L, L+1^2, L+2^2, L+3^2, and L+4^2 on the screen to show the probing steps. He also sketches a linked list diagram to explain memory structures.
The lecture systematically breaks down quadratic probing by defining its operation, listing advantages regarding clustering and caching, and acknowledging disadvantages. The instructor uses visual annotations and handwritten notes to clarify the polynomial sequence and memory structures, providing a comprehensive overview of how this technique compares to linear probing in terms of efficiency and performance. This structured approach helps students understand the trade-offs involved in choosing collision resolution strategies.