Data Structures and Algorithms for GATE — Complete Playlist
298 videos · GATE CSE LECTURES BY AMIT KHURANA
- Syllabus of Data Structures and Algorithms | DSA for GATE | GATE 2023
- Introduction to data structures and algorithms | DSA | Part 1 | GATE 2023
- Introduction to data structures and algorithms | DSA | Part 2 | GATE 2023
- How to analyze algorithm | Aposteriori analysis | analysis of algorithm
- How to analyze algorithm | Apriori analysis | analysis of algorithm
- How to analyze algorithm | Asymptotic Notations (part 1) | analysis of algorithm
- How to analyze algorithm | Asymptotic Notations (part 2) | Big O notation | analysis of algorithm
- How to analyze algorithm | Asymptotic Notations (part 3) | Big O notation | analysis of algorithm
- How to analyze algorithm | Asymptotic Notations (part 4) | Big O notation | analysis of algorithm
- How to analyze algorithm | Asymptotic Notations (part 5) | Big omega notation |analysis of algorithm
- How to analyze algorithm | Asymptotic Notations (part 6) | Theta notation | analysis of algorithm
- How to analyze algorithm | Asymptotic Notations (part 7) | small o and small omega (ω) notation
- How to analyze algorithm | Properties of Asymptotic Notations (part 1)
- How to analyze algorithm | Properties of Asymptotic Notations (part 2)
- How to analyze algorithm | Properties of Asymptotic Notations (part 3)
- How to Analyze Algorithm | Practice Questions on Asymptotic Notations | Analysis of Algorithm
- How to Analyze Algorithm | Analysis of Algorithm Practice Questions on Asymptotic Notations #2
- How to Analyze Algorithm | Analysis of Algorithm Practice Questions on Asymptotic Notations #3
- How to Analyze Algorithm | Analysis of Algorithm Practice Questions on Asymptotic Notations #4
- How to Analyze Algorithm | Analysis of Algorithm Practice Questions on Asymptotic Notations #5
- How to Analyze Algorithm | Analysis of Algorithm Practice Questions on Asymptotic Notations #6
- How to Analyze Algorithm | Analysis of Algorithm Practice Questions on Asymptotic Notations #7
- How to Analyze Algorithm | Analysis of Algorithm Practice Questions on Asymptotic Notations #8
- How to Analyze Algorithm | Analysis of Algorithm Practice Questions on Asymptotic Notations #9
- Finding Time Complexity | Analysis and Calculation | Time Complexity of iterative Algo | part 1
- Finding Time Complexity | Analysis and Calculation | Time Complexity of iterative Algo | part 2
- Finding Time Complexity | Analysis and Calculation | Time Complexity of iterative Algo | part 3
- Finding Time Complexity | Analysis and Calculation | Time Complexity of iterative Algo | part 4
- Finding Time Complexity | Analysis and Calculation | Time Complexity of iterative Algo | part 5
- Finding Time Complexity | Analysis and Calculation | Time Complexity of iterative Algo | part 6
- Finding Time Complexity | Analysis and Calculation | Time Complexity of iterative Algo | part 7
- Finding Space Complexity | Analysis and Calculation | Iterative Algorithms
- Finding Space and Time Complexity of Recursive Algorithms | Analysis and Calculation | Part 1
- Finding Space and Time Complexity of Recursive Algorithms | Analysis and Calculation | Part 2
- Finding Space and Time Complexity of Recursive Algorithms | Analysis and Calculation | Part 3
- Finding Space and Time Complexity of Recursive Algorithms | Analysis and Calculation | Part 4
- Finding Space and Time Complexity of Recursive Algorithms | Analysis and Calculation | Part 5
- Finding Space and Time Complexity of Recursive Algorithms | Analysis and Calculation | Part 6
- Finding Space and Time Complexity of Recursive Algorithms | fibonacci series exact complexity |#7
- Tower of Hanoi solved using Recursion | Part 1
- Tower of Hanoi solved using Recursion | Part 2
- SUBSTITUTION METHOD FOR SOLVING ANY RECURRENCE IN HINDI | part 1
- SUBSTITUTION METHOD FOR SOLVING ANY RECURRENCE IN HINDI | part 2
- SUBSTITUTION METHOD FOR SOLVING ANY RECURRENCE IN HINDI | part 3
- SUBSTITUTION METHOD FOR SOLVING ANY RECURRENCE IN HINDI | part 4
- SUBSTITUTION METHOD FOR SOLVING ANY RECURRENCE IN HINDI | part 5
- TREE METHOD FOR SOLVING ANY RECURRENCE IN HINDI | part 1
- TREE METHOD FOR SOLVING ANY RECURRENCE IN HINDI | part 2
- TREE METHOD FOR SOLVING ANY RECURRENCE IN HINDI | part 3
- TREE METHOD FOR SOLVING ANY RECURRENCE IN HINDI | part 4
- TREE METHOD FOR SOLVING ANY RECURRENCE IN HINDI | part 5
- TREE METHOD FOR SOLVING ANY RECURRENCE IN HINDI | part 6
- Master Theorem with Proof part 2
- Master Theorem with Proof part 1
- Master Theorem with Proof part 3
- Master Theorem with Proof part 4
- Master Theorem with Proof part 5
- Practice Questions on Master Theorem Part 1
- Practice Questions on Master Theorem Part 2
- Practice Questions on Master Theorem Part 3
- Practice Questions on Master Theorem Part 4
- Advanced Master Theorem | Extended Master Theorem with intuitive proof
- Linear Search part 1
- Linear Search part 2
- Linear Search part 3
- Binary Search part 1
- Binary Search part 2
- Binary Search part 3 (Modified Binary Search)
- Binary Search part 4 (Average case exact number of comparisons)
- Binary Search part 5 (Average case analysis of Binary search)
- Binary Search part 6 (Practice Questions)
- Binary Search part 7 (Practice Questions) #PROGRAMMING #PLACEMENTS
- Binary Search part 8 (Practice Questions) #PROGRAMMING #PLACEMENTS
- Binary Search part 9 (Practice Questions) #PROGRAMMING #PLACEMENTS
- Binary Search part 10 (Practice Questions) #PROGRAMMING #PLACEMENTS
- Selection Sort | Time Complexity(Best, Avg & Worst) Analysis #PROGRAMMING #PLACEMENTS
- Selection Sort | Stable or Not | In Place or Not | Practice Questions #PROGRAMMING #PLACEMENTS
- Bubble Sort Part 1 | Performance of Bubble Sort | Algorithm #PROGRAMMING #PLACEMENTS
- Bubble Sort Part 2 | Performance of Bubble Sort | Algorithm #PROGRAMMING #PLACEMENTS
- Insertion Sort | Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Insertion Sort (part 2)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Insertion Sort (part 3)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Counting Sort (part 1)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Counting Sort (part 2)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Radix Sort (part 1)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Radix Sort (part 2)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Heap Sort (part 1)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Heap Sort (part 2)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Heap Sort (part 3)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Heap Sort (part 4)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Heap Sort (part 5)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Heap Sort (part 6)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Heap Sort (part 7)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Heap Sort (part 8)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Heap Sort (part 9)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Heap Sort (part 10)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Heap Sort (part 11)| Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- Heap Sort (part 12) Time Complexity Analysis | Algorithm #PROGRAMMING #PLACEMENTS
- ARRAY IN DATA STRUCTURES PART 1
- ARRAY IN DATA STRUCTURES PART 2