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### Scenario trees/lattice reading
Scenarios for multistage stochastic programs
https://www.karlin.mff.cuni.cz/~kopa/papers/vanc-ed.pdf
Overview of scenario tree generation methods, applied in …
msz13 updated
2 months ago
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- PENNON/PENLAB
- http://insidehpc.com/2016/10/latest-nag-numerical-library-brings-new-optimization-modelling-suite-for-application-developers/
@gpipelee useful in the long-term?
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I translated and tested the Matlab code of Michael Wolf for their newest analytical estimator (2020).
Here it is below, with the test.
Is anybody interested to add it to the Package?
```
#=
A…
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**Original article:** The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models
**PDF URL:** https://github.com/Josuelmet/Discriminative-Kalman-Filt…
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I think we can add tutorials for the following type of optimization programs (one tutorial for each)
- [x] Linear Programming
- [x] Quadratic Programming
- [ ] Second-order cone Programming
- […
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## Summary
I would like to make a request for Pyomo team to consider integrating the Mindopt solver into the Pyomo library.
### Description
The Mindopt solver has the following capabilit…
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Support Vector Machines (SVM) is a supervised machine learning algorithm for classification and regression tasks. SVM works by finding the optimal hyperplane that separates data points of different cl…
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It is currently zero: https://github.com/casadi/casadi/blob/develop/nonlinear_programming/sqp_internal.cpp#L248
Better is to let the initial sigma to be set by the user, as already implemented in SCP…
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H Khaled,
Nice work!
A quick question: in the while loop [here](https://github.com/khaledghobashy/uraeus_nmbd_python/blob/ea2364ed328baeb33693494ec669e992e86c1488/uraeus/nmbd/python/engine/nume…
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Feature :
There is a well-known problem Maximum Subarray Sum, in which we have to find a contiguous subarray whose sum is maximum among all the subarrays for the given array. To solve this one must…