Big O Notation for Algorithms in plain English

1. Introduction Big O Notation Part 1.mp4 (188.16 MB)
3. Introduction Big O Notation Part 2.mp4 (94.84 MB)
4. Understanding Scalability.mp4 (36.35 MB)
1. What does it look like to scale linearly.mp4 (54.38 MB)
2. Finding Minimum Algorithm.mp4 (14.42 MB)
3. String Equals Algorithm.mp4 (28.24 MB)
1. Understanding the Quadratic Runtime.mp4 (51.62 MB)
2. Closest Points Brute Force Algorithm.mp4 (32.69 MB)
3. Closest Points Brute Force Analysis.mp4 (75.4 MB)
4. Optimizing Closest Points Brute Force.mp4 (35.89 MB)
1. Introduction to Constant Runtime Algorithms.mp4 (35.28 MB)
2. Number of Edges in a Graph Algorithm.mp4 (25.84 MB)
3. Improving Algorithm and Analysis.mp4 (29.04 MB)
1. How fast is Exponential Growth.mp4 (34.66 MB)
2. Subset Sum Problem Explained.mp4 (26.08 MB)
3. Subset Sum Implementation and Analysis.mp4 (20.27 MB)
1. Introduction to Logarithms.mp4 (59.62 MB)
2. Binary Search Algorithm.mp4 (38.06 MB)
3. Why is Binary Search Logarithmic.mp4 (36.25 MB)
1. Understanding Log Linear Complexity Functional Class.mp4 (17.27 MB)
2. Building the Merge Sort.mp4 (19.3 MB)
3. How scalable is a Log Linear algorithm.mp4 (58.75 MB)

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