Data Structures and Algorithms for GATE — Complete Playlist

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Curated by: GATE CSE LECTURES BY AMIT KHURANA (298 videos)

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Tracks in this Playlist

• 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