Big O Notation for Algorithms in plain English

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文档列表

1. Introduction/1. Introduction Big O Notation Part 1.mp4 197.3 MB
1. Introduction/3. Introduction Big O Notation Part 2.mp4 99.5 MB
3. Quadratic Complexity Functional Class/3. Closest Points Brute Force Analysis.mp4 79.1 MB
6. Logarithmic Complexity Functional Class/1. Introduction to Logarithms.mp4 62.5 MB
7. Log Linear Complexity Functional Class/3. How scalable is a Log Linear algorithm.mp4 61.6 MB
2. Linear Complexity Functional Class/1. What does it look like to scale linearly.mp4 57.0 MB
3. Quadratic Complexity Functional Class/1. Understanding the Quadratic Runtime.mp4 54.1 MB
6. Logarithmic Complexity Functional Class/2. Binary Search Algorithm.mp4 39.9 MB
1. Introduction/4. Understanding Scalability.mp4 38.1 MB
6. Logarithmic Complexity Functional Class/3. Why is Binary Search Logarithmic.mp4 38.0 MB
3. Quadratic Complexity Functional Class/4. Optimizing Closest Points Brute Force.mp4 37.6 MB
4. Constant Complexity Functional Class/1. Introduction to Constant Runtime Algorithms.mp4 37.0 MB
5. Exponential Complexity Functional Class/1. How fast is Exponential Growth.mp4 36.3 MB
3. Quadratic Complexity Functional Class/2. Closest Points Brute Force Algorithm.mp4 34.3 MB
4. Constant Complexity Functional Class/3. Improving Algorithm and Analysis.mp4 30.5 MB
2. Linear Complexity Functional Class/3. String Equals Algorithm.mp4 29.6 MB
5. Exponential Complexity Functional Class/2. Subset Sum Problem Explained.mp4 27.3 MB
4. Constant Complexity Functional Class/2. Number of Edges in a Graph Algorithm.mp4 27.1 MB
5. Exponential Complexity Functional Class/3. Subset Sum Implementation and Analysis.mp4 21.2 MB
7. Log Linear Complexity Functional Class/2. Building the Merge Sort.mp4 20.2 MB
7. Log Linear Complexity Functional Class/1. Understanding Log Linear Complexity Functional Class.mp4 18.1 MB
2. Linear Complexity Functional Class/2. Finding Minimum Algorithm.mp4 15.1 MB
BigONotationInPlainEnglish-main.zip 19.2 kB
6. Logarithmic Complexity Functional Class/2. Binary Search Algorithm.srt 17.5 kB
3. Quadratic Complexity Functional Class/2. Closest Points Brute Force Algorithm.srt 16.0 kB
6. Logarithmic Complexity Functional Class/3. Why is Binary Search Logarithmic.srt 15.7 kB
5. Exponential Complexity Functional Class/2. Subset Sum Problem Explained.srt 15.6 kB
3. Quadratic Complexity Functional Class/4. Optimizing Closest Points Brute Force.srt 15.1 kB
1. Introduction/4. Understanding Scalability.srt 14.6 kB
2. Linear Complexity Functional Class/3. String Equals Algorithm.srt 13.0 kB
4. Constant Complexity Functional Class/3. Improving Algorithm and Analysis.srt 12.1 kB
4. Constant Complexity Functional Class/2. Number of Edges in a Graph Algorithm.srt 12.0 kB
3. Quadratic Complexity Functional Class/3. Closest Points Brute Force Analysis.srt 11.9 kB
1. Introduction/1. Introduction Big O Notation Part 1.srt 11.6 kB
7. Log Linear Complexity Functional Class/3. How scalable is a Log Linear algorithm.srt 10.9 kB
5. Exponential Complexity Functional Class/1. How fast is Exponential Growth.srt 9.4 kB
7. Log Linear Complexity Functional Class/1. Understanding Log Linear Complexity Functional Class.srt 9.2 kB
2. Linear Complexity Functional Class/2. Finding Minimum Algorithm.srt 8.3 kB
3. Quadratic Complexity Functional Class/1. Understanding the Quadratic Runtime.srt 8.1 kB
7. Log Linear Complexity Functional Class/2. Building the Merge Sort.srt 7.8 kB
6. Logarithmic Complexity Functional Class/1. Introduction to Logarithms.srt 7.8 kB
5. Exponential Complexity Functional Class/3. Subset Sum Implementation and Analysis.srt 7.4 kB
1. Introduction/3. Introduction Big O Notation Part 2.srt 5.7 kB
2. Linear Complexity Functional Class/1. What does it look like to scale linearly.srt 3.6 kB
4. Constant Complexity Functional Class/1. Introduction to Constant Runtime Algorithms.srt 3.1 kB
1. Introduction/5. Useful pointers for this course.html 528 Bytes
1. Introduction/2. Cracking an A to Z padlock.html 197 Bytes

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