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How about a counted set/multiset type? These are pretty commonly used, and can be quite handy:
https://developer.apple.com/documentation/foundation/nscountedset
https://developer.apple.com/doc…
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Currently, each time the `fit` method is called, it starts from a new identity matrix. But in many scenarios, it can be useful to incrementally fit (i.e. start from the last computed L).
I think that…
sidak updated
4 years ago
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### HELP WANTED
**Help us by suggesting other libraries to consider or making the build and the benchmark.**
Currently we use the version 1.2.8 (possibly customized for usage with the tcvm - have …
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> Der nächste Schritt wäre einen Agenten mit zwei Optimierungsalgorithmen zu trainieren. Hierfür könnten Sie im Reinforcement Learning-Bereich den PPO und DQN Algorithmus verwenden. Sie könnten aber a…
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- Abstract (2-3 lines)
As with many fields, applications of machine learning and computational methods are expanding to the financial world too. Modelling financial markets is a challenging area desp…
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# Heuristic and Approximation Algorithms
## Overview
Heuristic and approximation algorithms are widely used to solve optimization problems where finding an exact solution is computationally expens…
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### Checklist
- [x] I've given this issue a self-descriptive, meaningful title (e.g. *Implement optimization algorithms for shimming*)
- [x] I've described the new feature and its expected behavio…
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Currently both `Vec`s and `VecDeque`s `truncate` implementations just call `pop_back()` in a loop. When `std::mem::needs_drop::()` is `false` this is pretty inefficient.
Now LLVM *does* [optimize a…
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**Lecture Courses**
http://www.robots.ox.ac.uk/~az/lectures/
https://www.gaussianwaves.com/2013/11/simulation-and-analysis-of-white-noise-in-matlab/
https://github.com/oxford-cs-deepnlp-2017
http…
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Looking at the functionality of the library I would like to add another feature which is to create a function to estimate the gradients of quantum pulses. As qua is a platform for control qubits on mu…