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Count Inversions in an array | Set 1 (Using Merge Sort), Divide and Conquer | Set 2 (Closest Pair of Points), Divide and Conquer | Set 5 (Strassen’s Matrix Multiplication), K’th Smallest/Largest Element in Unsorted Array | Set 2 (Expected Linear Time), Greedy Algorithms | Set 1 (Activity Selection Problem), Job Sequencing Problem | Set 1 (Greedy Algorithm), Greedy Algorithms | Set 3 (Huffman Coding), Greedy Algorithms | Set 4 (Efficient Huffman Coding for Sorted Input), Greedy Algorithms | Set 2 (Kruskal’s Minimum Spanning Tree Algorithm), Greedy Algorithms | Set 5 (Prim’s Minimum Spanning Tree (MST)), Greedy Algorithms | Set 6 (Prim’s MST for Adjacency List Representation), Applications of Minimum Spanning Tree Problem, Greedy Algorithms | Set 7 (Dijkstra’s shortest path algorithm), Greedy Algorithms | Set 8 (Dijkstra’s Algorithm for Adjacency List Representation), Greedy Algorithm to find Minimum number of Coins, Breadth First Traversal or BFS for a Graph, Disjoint Set (Or Union-Find) | Set 1 (Detect Cycle in an Undirected Graph), Some interesting shortest path questions | Set 1, Shortest path with exactly k edges in a directed and weighted graph, Articulation Points (or Cut Vertices) in a Graph, Check if a graph is strongly connected | Set 1 (Kosaraju using DFS), Graph Algorithms | DFS and BFS | Minimum Spanning Tree | Shortest Paths | Connectivity, Dynamic Programming | Set 1 (Overlapping Subproblems Property), Dynamic Programming | Set 2 (Optimal Substructure Property), Dynamic Programming | Set 4 (Longest Common Subsequence), Dynamic Programming | Set 8 (Matrix Chain Multiplication), Dynamic Programming | Set 10 ( 0-1 Knapsack Problem), Dynamic Programming | Set 6 (Min Cost Path), Dynamic Programming | Set 25 (Subset Sum Problem), Dynamic Programming | Set 23 (Bellman–Ford Algorithm), Dynamic Programming | Set 16 (Floyd Warshall Algorithm), Total number of non-decreasing numbers with n digits, Vertex Cover Problem | Set 2 (Dynamic Programming Solution for Tree), Smallest power of 2 greater than or equal to n, Travelling Salesman Problem | Set 1 (Naive and Dynamic Programming), Travelling Salesman Problem | Set 2 (Approximate using MST), Find subarray with given sum | Set 2 (Handles Negative Numbers), Largest subarray with equal number of 0s and 1s, Find four elements a, b, c and d in an array such that a+b = c+d, Given an array A[] and a number x, check for pair in A[] with sum as x, Union and Intersection of two Linked Lists, Find whether an array is subset of another array | Added Method 3, Top 20 Hashing Technique based Interview Questions, Commonly Asked Algorithm Interview Questions | Set 1, Notes – Master Theorem problems and answers, Principle of programming languages | Set 1, Commonly Asked Data Structure Interview Questions | Set 1, Privileged and Non-Privileged Instructions, Process Table and Process Control Block (PCB), Difference between dispatcher and scheduler, Program for FCFS Scheduling | Set 2 (Processes with different arrival times), Program for preemptive priority CPU scheduling, Program for Round Robin scheduling | Set 1, Round Robin Scheduling with different arrival times, Program for Shortest Job First (or SJF) scheduling | Set 1 (Non- preemptive), Program for Shortest Job First (SJF) scheduling | Set 2 (Preemptive), Shortest Job First scheduling with predicted burst time, Longest Remaining Time First (LRTF) algorithm, Longest Remaining Time First (LRTF) Program, Highest Response Ratio Next (HRRN) Scheduling, Priority Scheduling with different arrival time | Set 2, Starvation and Aging in Operating Systems, Process-based and Thread-based Multitasking, Monolithic Kernel and key differences from Microkernel, Difference between multitasking, multithreading and multiprocessing, Operating System | Process Synchronization | Set 2, Peterson’s Algorithm for Mutual Exclusion | Set 1 (Basic C implementation), Peterson’s Algorithm for Mutual Exclusion | Set 2 (CPU Cycles and Memory Fence), Peterson’s Algorithm (Using processes and shared memory), Readers-Writers Problem | Set 1 (Introduction and Readers Preference Solution), Producer Consumer Problem using Semaphores | Set 1, Producer-Consumer solution using Semaphores in Java | Set 2, Dining-Philosophers Solution Using Monitors, Dining Philosopher Problem Using Semaphores. Must Read: GATE 2021 Syllabus for Computer Science. Priority Interrupts | (S/W Polling and Daisy Chaining), Asynchronous input output synchronization, Human – Computer interaction through the ages, CATEGORY ARCHIVES: COMPUTER ORGANIZATION & ARCHITECTURE, Regular Expressions, Regular Grammar and Regular Languages, How to identify if a language is regular or not, Designing Finite Automata from Regular Expression, Generating regular expression from finite automata, Union & Intersection of Regular languages with CFL, Designing Deterministic Finite Automata (Set 1), Designing Deterministic Finite Automata (Set 2), DFA of a string with at least two 0’s and at least two 1’s, DFA machines accepting odd number of 0’s or/and even number of 1’s, Star Height of Regular Expression and Regular Language, Difference between Mealy machine and Moore machine, Pushdown Automata Acceptance by Final State, Check if the language is Context Free or Not, Construct Pushdown Automata for given languages, Construct Pushdown Automata for all length palindrome, NPDA for the language L ={wϵ{a,b}*| w contains equal no. acknowledge that you have read and understood our, GATE CS Original Papers and Official Keys, ISRO CS Original Papers and Official Keys, ISRO CS Syllabus for Scientist/Engineer Exam, Placements | English | Error Detection and Correction, Placements | English | Passage/Sentence Re-arrangement, Placements | English | Fill in the Blanks, Placements | English | Comprehension Passages, Book – Quantitative Aptitude by R.S. 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Process Management | Deadlock Introduction, Program for Banker’s Algorithm | Set 1 (Safety Algorithm), Banker’s Algorithm : Print all the safe state, Methods of resource allocation to processes by operating system, Mapping virtual address to physical addresses, Logical vs Physical Address in Operating System, Memory Management | Partition Allocation Method, Program for First Fit algorithm in Memory Management, Program for Next Fit algorithm in Memory Management, Program for Optimal Page Replacement Algorithm, Second Chance (or Clock) Page Replacement Policy, Difference between Spooling and Buffering, Difference between FAT32, exFAT, and NTFS File System, Program for SSTF disk scheduling algorithm, Commonly Asked Operating Systems Interview Questions | Set 1, Book – William Stallings Practice Problems and Solutions, Notes – Some Interesting problems on Virtual memory, Database Management System – Introduction | Set 1, Database Management System Introduction | Set 2 (3-Tier Architecture), Mapping from ER Model to Relational Model, Relational Model Introduction and Codd Rules, Keys in Relational Model (Candidate, Super, Primary, Alternate and Foreign), DBMS | How to solve Relational Algebra problems for GATE, DBMS | Row oriented vs. column oriented data stores, Functional Dependency and Attribute Closure, Finding Attribute Closure and Candidate Keys using Functional Dependencies, Lossless Join and Dependency Preserving Decomposition, DBMS | How to find the highest normal form of a relation, Armstrong’s Axioms in Functional Dependency, SQL queries on clustered and non-clustered Indexes, DBMS | Types of Recoverability of Schedules and easiest way to test schedule, Precedence Graph For Testing Conflict Serializability. 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Only for course enrolled ₹1,271.00. of a’s and b’s}, Closure Properties of Context Free Languages, Converting Context Free Grammar to Chomsky Normal Form, Converting Context Free Grammar to Greibach Normal Form, Relationship between grammar and language, Context-sensitive Grammar (CSG) and Language (CSL), Recursive and Recursive Enumerable Languages, Construct a Turing Machine for language L = {0, Construct a Turing Machine for language L = {ww, Construct a Turing Machine for language L = {ww | w ∈ {0,1}}, Proof that Hamiltonian Path is NP-Complete, CATEGORY ARCHIVES: THEORY OF COMPUTATION & AUTOMATA, Last Minute Notes – Theory of Computation, Practice problems on finite automata | Set 2, Context free languages and Push-down automata, Recursively enumerable sets and Turing machines, C program to detect tokens in a C program, Program to calculate First and Follow sets of given grammar, S – attributed and L – attributed SDTs in Syntax directed translation, Detection of a Loop in Three Address Code, MCQ on Memory allocation and compilation process, Difference between combinational and sequential circuit, Half Adder and Half Subtractor using NAND NOR gates, Amortized analysis for increment in counter, Code Converters – BCD(8421) to/from Excess-3, Code Converters – Binary to/from Gray Code, Program for Hexadecimal to Decimal Conversion. 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