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Intro
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Classroom Contents
Tensor Networks for High-Dimensional Integration and Optimization
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- 1 Intro
- 2 Epidemics on networks
- 3 Different approaches
- 4 Probability of states
- 5 Time dependent searching
- 6 Matrix product state
- 7 Separation of variables
- 8 Tensor train
- 9 How we solve problems
- 10 Variational optimization
- 11 TT Rank
- 12 Mode Size
- 13 Optimization
- 14 Time Dependent
- 15 Monte Carlo
- 16 SSA
- 17 Summary Wiring
- 18 High Dimensional Integration
- 19 HighDimensional Integral
- 20 Quasi Monte Carlo
- 21 Lower End Matrix
- 22 Maximum Volume
- 23 Cross Interpolation
- 24 Simplified Integral
- 25 Conclusion
- 26 Questions
