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1. Brent's method
2. Conjugate gradient minimization
3. Conventions
4. Dimensionality reduction
5. Function bracketing
6. Known issues
7. Line minimization
8. Neural network introduction
9. Normal distribution
10. Normalization
11. Obtaining
12. QRprop
13. Standard deviation
14. Test
15. Test2
16. Tutorial: Neural network training
17. Uniform distribution (continuous)
18. Uniform distribution (discrete)
19. Variance

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