cpp
control-flag
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cpp | control-flag | |
---|---|---|
1 | 6 | |
43 | 1,239 | |
- | 0.3% | |
0.0 | 4.4 | |
over 3 years ago | about 2 months ago | |
C++ | C++ | |
MIT License | MIT License |
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cpp
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Algorithms C++
} For C(n=5, k=2), the code above produces the following output: Top-down DP: -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 2 -1 -1 -1 -1 -1 -1 -1 3 3 -1 -1 -1 -1 -1 -1 4 6 -1 -1 -1 -1 -1 -1 -1 10 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 C(n=5, k=2): 10 Bottom-up DP: 1 -1 -1 -1 -1 -1 -1 -1 1 1 -1 -1 -1 -1 -1 -1 1 2 1 -1 -1 -1 -1 -1 1 3 3 -1 -1 -1 -1 -1 1 4 6 -1 -1 -1 -1 -1 1 5 10 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 C(n=5, k=2): 10 The time complexity is O(n * k) and the space complexity is O(n * k). In the case of top-down DP, solutions to sub-problems are stored (memoized) as needed, whereas in the bottom-up DP, the entire table is computed starting from the base case. Note: a small DP table size (V=8) was chosen for printing purposes, a much larger table size is recommended. Code All code is available at: https://github.com/vsmolyakov/cpp To compile C++ code you can run the following command:
control-flag
- Intel ControlFlag full support for PHP language
- Control flag, AI-Driven Detection Of Bugs, v1.0 Full support for C released
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🔥 Trending Repositories This Week 🔥
Repo Link
- IntelLabs/control-flag: A system to flag anomalous source code expressions by learning typical expressions from training data
- Intel Makes ControlFlag Open-Source for Helping to Detect Bugs in Code
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Intel Open-Sources ‘ControlFlag’, A Machine Learning Based Tool That Can Autonomously Detect Errors In Code
Intel’s principal AI researcher, recently published an article on LinkedIn with the news of the public release of ControlFlag, their machine learning-based software that can detect problems in computer code. The researchers assert it has found hundreds of defects and vulnerabilities throughout production quality apps with no human assistance required.
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