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docs: fix references in performance evaluation section
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docs/src/performance-evaluation.md

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@@ -12,7 +12,7 @@ i9--9900K CPU @3.60GHz with 64 GB of RAM. Performance comparisons for other
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tasks will be added in the near future.
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```@raw html
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<img src="../assets/performance-evaluation.svg" width="700" style="margin-left: auto; margin-right: auto; display:block;">
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<img src="./assets/performance-evaluation.svg" width="700" style="margin-left: auto; margin-right: auto; display:block;">
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```
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The benchmark problems are arranged along the x-axis in ascending order of
@@ -29,28 +29,17 @@ designed to optimize for both time and space complexity.
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## References
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[^gal2010summary]: Gal Elidan and Amir Globerson. Summary of the 2010 UAI
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approximate inference challenge. 2010. [Online]. Available:
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[https://www.cs.huji.ac.il/project/UAI10/summary.php](https://www.cs.huji.ac.il/project/UAI10/summary.php)
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[Accessed: 11 September 2023].
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[^gal2010summary]:
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Gal Elidan and Amir Globerson. Summary of the 2010 UAI approximate inference challenge. 2010. [Online]. Available: [https://www.cs.huji.ac.il/project/UAI10/summary.php](https://www.cs.huji.ac.il/project/UAI10/summary.php) [Accessed: 11 September 2023].
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[^gogate2014uai]: Vibhav Gogate. UAI 2014 Probabilistic Inference Competition.
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2014. [Online]. Available:
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[https://www.ics.uci.edu/~dechter/softwares/benchmarks/Uai14/UAI_2014_Inference_Competition.pdf](https://www.ics.uci.edu/~dechter/softwares/benchmarks/Uai14/UAI_2014_Inference_Competition.pdf)
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[Accessed: 11 September 2023].
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[^gogate2014uai]:
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Vibhav Gogate. UAI 2014 Probabilistic Inference Competition. 2014. [Online]. Available: [https://www.ics.uci.edu/~dechter/softwares/benchmarks/Uai14/UAI_2014_Inference_Competition.pdf](https://www.ics.uci.edu/~dechter/softwares/benchmarks/Uai14/UAI_2014_Inference_Competition.pdf) [Accessed: 11 September 2023].
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[^marinescu2022merlin]: Radu Marinescu. Merlin. 2022. [Online]. Available:
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[https://www.ibm.com/opensource/open/projects/merlin/](https://www.ibm.com/opensource/open/projects/merlin/)
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[Accessed: 11 September 2023].
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[^marinescu2022merlin]:
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Radu Marinescu. Merlin. 2022. [Online]. Available: [https://www.ibm.com/opensource/open/projects/merlin/](https://www.ibm.com/opensource/open/projects/merlin/) [Accessed: 11 September 2023].
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[^mooij2010libdai]: Joris M. Mooij. libDAI: A Free and Open Source C++ Library
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for Discrete Approximate Inference in Graphical Models. *Journal of
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Machine Learning Research*, 11:2169-2173, Aug 2010. [Online].
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Available:
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[http://www.jmlr.org/papers/volume11/mooij10a/mooij10a.pdf](http://www.jmlr.org/papers/volume11/mooij10a/mooij10a.pdf).
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[^mooij2010libdai]:
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Joris M. Mooij. libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models. *Journal of Machine Learning Research*, 11:2169-2173, Aug 2010. [Online]. Available: [http://www.jmlr.org/papers/volume11/mooij10a/mooij10a.pdf](http://www.jmlr.org/papers/volume11/mooij10a/mooij10a.pdf).
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[^roa2022partial]:
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Martin Roa-Villescas, Patrick W.A. Wijnings, Sander Stuijk, Henk Corporaal.
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"Partial Evaluation in Junction Trees". In: 2022 25th Euromicro Conference on
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Digital System Design (DSD), pp. 429-437, 2022.
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doi: [10.1109/DSD57027.2022.00064](https://doi.org/10.1109/DSD57027.2022.00064)
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Martin Roa-Villescas, Patrick W.A. Wijnings, Sander Stuijk, Henk Corporaal. "Partial Evaluation in Junction Trees". In: 2022 25th Euromicro Conference on Digital System Design (DSD), pp. 429-437, 2022. doi: [10.1109/DSD57027.2022.00064](https://doi.org/10.1109/DSD57027.2022.00064)

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