<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ebook on Nam Le</title><link>https://blog.namln.org/en/tags/ebook/</link><description>Recent content in Ebook on Nam Le</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Sat, 19 Aug 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.namln.org/en/tags/ebook/index.xml" rel="self" type="application/rss+xml"/><item><title>List of Selected Papers on Algorithms for Large-Scale Graph Processing.</title><link>https://blog.namln.org/graph-analytics/large-scale-graph-processing-reading-list/</link><pubDate>Sat, 19 Aug 2023 00:00:00 +0000</pubDate><guid>https://blog.namln.org/graph-analytics/large-scale-graph-processing-reading-list/</guid><description>&lt;p&gt;1/ [ISAAC'11] Goodrich, M. T., Sitchinava, N., &amp;amp; Zhang, Q. (2011, December). &lt;a href="https://arxiv.org/abs/1101.1902"&gt;Sorting, searching, and simulation in the mapreduce framework&lt;/a&gt;. In International Symposium on Algorithms and Computation (pp. 374-383). Springer, Berlin, Heidelberg.&lt;/p&gt;

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&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-fallback" data-lang="fallback"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;@inproceedings{goodrich2011sorting,
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; title={Sorting, searching, and simulation in the mapreduce framework},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; author={Goodrich, Michael T and Sitchinava, Nodari and Zhang, Qin},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; booktitle={International Symposium on Algorithms and Computation},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; pages={374--383},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; year={2011},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; organization={Springer}
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&lt;/figure&gt;&lt;p&gt;2/ [STOC'14] Andoni, A., Nikolov, A., Onak, K., &amp;amp; Yaroslavtsev, G. (2014, May). &lt;a href="https://arxiv.org/pdf/1401.0042"&gt;Parallel algorithms for geometric graph problems&lt;/a&gt;. In Proceedings of the forty-sixth annual ACM symposium on Theory of computing (pp. 574-583).&lt;/p&gt;

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&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-fallback" data-lang="fallback"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;@inproceedings{andoni2014parallel,
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; title={Parallel algorithms for geometric graph problems},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; author={Andoni, Alexandr and Nikolov, Aleksandar and Onak, Krzysztof and Yaroslavtsev, Grigory},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; booktitle={Proceedings of the forty-sixth annual ACM symposium on Theory of computing},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; pages={574--583},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; year={2014}
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&lt;/figure&gt;&lt;p&gt;3/ [STOC'17] Im, S., Moseley, B., &amp;amp; Sun, X. (2017, June). &lt;a href="https://dl.acm.org/doi/pdf/10.1145/3055399.3055460"&gt;Efficient massively parallel methods for dynamic programming&lt;/a&gt;. In Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing (pp. 798-811).&lt;/p&gt;

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&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-fallback" data-lang="fallback"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;@inproceedings{im2017efficient,
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; title={Efficient massively parallel methods for dynamic programming},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; author={Im, Sungjin and Moseley, Benjamin and Sun, Xiaorui},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; booktitle={Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; pages={798--811},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; year={2017}
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&lt;/figure&gt;&lt;p&gt;4/ [FOCS'18] Andoni, A., Song, Z., Stein, C., Wang, Z., &amp;amp; Zhong, P. (2018, October). &lt;a href="https://arxiv.org/pdf/1805.03055"&gt;Parallel graph connectivity in log diameter rounds&lt;/a&gt;. In 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS) (pp. 674-685). IEEE.&lt;/p&gt;

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&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-fallback" data-lang="fallback"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;@inproceedings{andoni2018parallel,
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; title={Parallel graph connectivity in log diameter rounds},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; author={Andoni, Alexandr and Song, Zhao and Stein, Clifford and Wang, Zhengyu and Zhong, Peilin},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; booktitle={2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS)},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; pages={674--685},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; year={2018},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; organization={IEEE}
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&lt;/figure&gt;&lt;p&gt;5/ [SOSA'19] Liu, P., &amp;amp; Vondrák, J. (2018). &lt;a href="https://arxiv.org/abs/1810.01489"&gt;Submodular optimization in the mapreduce model&lt;/a&gt;. arXiv preprint arXiv:1810.01489.&lt;/p&gt;

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&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-fallback" data-lang="fallback"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;@article{liu2018submodular,
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; title={Submodular optimization in the mapreduce model},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; author={Liu, Paul and Vondr{\&amp;#39;a}k, Jan},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; journal={arXiv preprint arXiv:1810.01489},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; year={2018}
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&lt;/figure&gt;&lt;p&gt;6/ [PODC'19] Behnezhad, S., Brandt, S., Derakhshan, M., Fischer, M., Hajiaghayi, M., Karp, R. M., &amp;amp; Uitto, J. (2019, July). &lt;a href="https://dl.acm.org/citation.cfm?id=3331609"&gt;Massively parallel computation of matching and MIS in sparse graphs&lt;/a&gt;. In Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing (pp. 481-490).&lt;/p&gt;

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&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-fallback" data-lang="fallback"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;@inproceedings{behnezhad2019massively,
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; title={Massively parallel computation of matching and MIS in sparse graphs},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; author={Behnezhad, Soheil and Brandt, Sebastian and Derakhshan, Mahsa and Fischer, Manuela and Hajiaghayi, MohammadTaghi and Karp, Richard M and Uitto, Jara},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; booktitle={Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; pages={481--490},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; year={2019}
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&lt;/figure&gt;&lt;p&gt;Brandt, S., Fischer, M., &amp;amp; Uitto, J. (2018). &lt;a href="https://arxiv.org/abs/1807.05374"&gt;Matching and MIS for uniformly sparse graphs in the low-memory MPC model&lt;/a&gt;. arXiv preprint arXiv:1807.05374.&lt;/p&gt;

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&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-fallback" data-lang="fallback"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;@article{brandt2018matching,
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; title={Matching and MIS for uniformly sparse graphs in the low-memory MPC model},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; author={Brandt, Sebastian and Fischer, Manuela and Uitto, Jara},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; journal={arXiv preprint arXiv:1807.05374},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; year={2018}
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&lt;/figure&gt;&lt;p&gt;Behnezhad, S., Derakhshan, M., Hajiaghayi, M., &amp;amp; Karp, R. M. (2018). &lt;a href="https://arxiv.org/pdf/1807.06701"&gt;Massively parallel symmetry breaking on sparse graphs: MIS and maximal matching&lt;/a&gt;. arXiv preprint arXiv:1807.06701.&lt;/p&gt;

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&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-fallback" data-lang="fallback"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;@article{behnezhad2018massively,
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; title={Massively parallel symmetry breaking on sparse graphs: MIS and maximal matching},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; author={Behnezhad, Soheil and Derakhshan, Mahsa and Hajiaghayi, MohammadTaghi and Karp, Richard M},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; journal={arXiv preprint arXiv:1807.06701},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; year={2018}
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&lt;/figure&gt;&lt;p&gt;7/ [PODC'19] Chang, Y. J., Fischer, M., Ghaffari, M., Uitto, J., &amp;amp; Zheng, Y. (2019, July). &lt;a href="https://dl.acm.org/doi/pdf/10.1145/3293611.3331607"&gt;The complexity of $$(\Delta+ 1)$$ coloring in congested clique, massively parallel computation, and centralized local computation&lt;/a&gt;. In Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing (pp. 471-480).&lt;/p&gt;

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&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-fallback" data-lang="fallback"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;@inproceedings{chang2019complexity,
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; title={The complexity of ($\Delta$+ 1) coloring in congested clique, massively parallel computation, and centralized local computation},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; author={Chang, Yi-Jun and Fischer, Manuela and Ghaffari, Mohsen and Uitto, Jara and Zheng, Yufan},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; booktitle={Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; pages={471--480},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; year={2019}
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&lt;/figure&gt;&lt;p&gt;8/ [FOCS'19] Ghaffari, M., Kuhn, F., &amp;amp; Uitto, J. (2019, November). &lt;a href="https://people.inf.ethz.ch/gmohsen/MPA19/Notes/conditionalLBs.pdf"&gt;Conditional hardness results for massively parallel computation from distributed lower bounds&lt;/a&gt;. In 2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS) (pp. 1650-1663). IEEE.&lt;/p&gt;

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&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-fallback" data-lang="fallback"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;@inproceedings{ghaffari2019conditional,
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; title={Conditional hardness results for massively parallel computation from distributed lower bounds},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; author={Ghaffari, Mohsen and Kuhn, Fabian and Uitto, Jara},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; booktitle={2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS)},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; pages={1650--1663},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; year={2019},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; organization={IEEE}
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;}&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
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&lt;/div&gt;
 &lt;/div&gt;
&lt;/figure&gt;&lt;p&gt;9/ [SODA'20] Ghaffari, M., Nowicki, K., &amp;amp; Thorup, M. (2020). &lt;a href="https://epubs.siam.org/doi/pdf/10.1137/1.9781611975994.77"&gt;Faster algorithms for edge connectivity via random 2-out contractions&lt;/a&gt;. In Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms (pp. 1260-1279). Society for Industrial and Applied Mathematics.&lt;/p&gt;

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&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-fallback" data-lang="fallback"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;@inproceedings{ghaffari2020faster,
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; title={Faster algorithms for edge connectivity via random 2-out contractions},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; author={Ghaffari, Mohsen and Nowicki, Krzysztof and Thorup, Mikkel},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; booktitle={Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; pages={1260--1279},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; year={2020},
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; organization={SIAM}
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&lt;/figure&gt;</description></item><item><title>Reading list &amp; mathematics resources.</title><link>https://blog.namln.org/mathematics/math-reading-list/</link><pubDate>Sat, 19 Aug 2023 00:00:00 +0000</pubDate><guid>https://blog.namln.org/mathematics/math-reading-list/</guid><description>&lt;h2 class="heading" id="foundations-of-mathematics"&gt;
 Foundations of Mathematics&lt;span class="heading__anchor"&gt; &lt;a href="#foundations-of-mathematics"&gt;#&lt;/a&gt;&lt;/span&gt;
&lt;/h2&gt;&lt;h2 class="heading" id="number-theory"&gt;
 Number Theory&lt;span class="heading__anchor"&gt; &lt;a href="#number-theory"&gt;#&lt;/a&gt;&lt;/span&gt;
&lt;/h2&gt;&lt;h2 class="heading" id="algebra"&gt;
 Algebra&lt;span class="heading__anchor"&gt; &lt;a href="#algebra"&gt;#&lt;/a&gt;&lt;/span&gt;
&lt;/h2&gt;&lt;p&gt;1/ Lay, D. C., Lay, S. R., &amp;amp; McDonald, J. (2016). Linear algebra and its applications. Pearson Education.&lt;/p&gt;
&lt;p&gt;2/ Strang, G. (2019). Linear algebra and learning from data (Vol. 4). Cambridge: Wellesley-Cambridge Press.&lt;/p&gt;
&lt;h2 class="heading" id="combinatorics---graph-theory"&gt;
 Combinatorics - Graph Theory&lt;span class="heading__anchor"&gt; &lt;a href="#combinatorics---graph-theory"&gt;#&lt;/a&gt;&lt;/span&gt;
&lt;/h2&gt;&lt;h3 class="heading" id="graph-theory-books"&gt;
 Graph theory books&lt;span class="heading__anchor"&gt; &lt;a href="#graph-theory-books"&gt;#&lt;/a&gt;&lt;/span&gt;
&lt;/h3&gt;&lt;p&gt;[1] Lewis, R. (2015). A guide to graph colouring (Vol. 7). Berlin: Springer.&lt;/p&gt;
&lt;p&gt;[2] Tucker, A. (1994). Applied combinatorics. John Wiley &amp;amp; Sons, Inc..&lt;/p&gt;
&lt;p&gt;[3] Li, Y., &amp;amp; Lin, Q. (2022). Elementary Methods of Graph Ramsey Theory (Vol. 211). Springer Nature.&lt;/p&gt;
&lt;p&gt;[4] David Conlon - Extremal graph theory&lt;/p&gt;
&lt;p&gt;[5] Trudeau, R. J. (1994). Introduction to graph theory. Dover Pubns.&lt;/p&gt;
&lt;p&gt;[6] Reinhard, D. (2017). Graph Theory. GTM, vol. 173.&lt;/p&gt;
&lt;p&gt;[7] Bondy, J. A., &amp;amp; Murty, U. S. R. (1976). Graph theory with applications (Vol. 290). London: Macmillan.&lt;/p&gt;
&lt;p&gt;[8] Bollobás, B. (1998). Modern graph theory (Vol. 184). Springer Science &amp;amp; Business Media.&lt;/p&gt;
&lt;p&gt;[9] Needham, M., &amp;amp; Hodler, A. E. (2019). Graph algorithms: practical examples in Apache Spark and Neo4j. O&amp;rsquo;Reilly Media.&lt;/p&gt;
&lt;p&gt;[10] Guia, J., Soares, V. G., &amp;amp; Bernardino, J. (2017, April). Graph Databases: Neo4j Analysis. In ICEIS (1) (pp. 351-356).&lt;/p&gt;
&lt;p&gt;[11] Harary, Frank - Graph Theory-Perseus Books (1999)&lt;/p&gt;
&lt;p&gt;[12] Miklós Bóna - A Walk Through Combinatorics: An Introduction to Enumeration and Graph Theory, World Scientific (2016)&lt;/p&gt;
&lt;p&gt;[13] Robin J. Wilson - Introduction to Graph Theory, Fourth Edition-Addison Wesley (1996)&lt;/p&gt;
&lt;p&gt;[14] (Textbooks in Mathematics) Jonathan L. Gross, Jay Yellen, Mark Anderson - Graph Theory and Its Applications, third edition (2018)&lt;/p&gt;
&lt;p&gt;[15] Introduction to Graph Theory, Douglas B. West&lt;/p&gt;
&lt;h2 class="heading" id="geometry--topology"&gt;
 Geometry &amp;amp; Topology&lt;span class="heading__anchor"&gt; &lt;a href="#geometry--topology"&gt;#&lt;/a&gt;&lt;/span&gt;
&lt;/h2&gt;&lt;h2 class="heading" id="analysis"&gt;
 Analysis&lt;span class="heading__anchor"&gt; &lt;a href="#analysis"&gt;#&lt;/a&gt;&lt;/span&gt;
&lt;/h2&gt;&lt;h2 class="heading" id="probability--statistics"&gt;
 Probability &amp;amp; Statistics&lt;span class="heading__anchor"&gt; &lt;a href="#probability--statistics"&gt;#&lt;/a&gt;&lt;/span&gt;
&lt;/h2&gt;&lt;p&gt;1/ Gould, R., &amp;amp; Ryan, C. N. (2015). Introductory statistics: Exploring the world through data. Pearson.&lt;/p&gt;
&lt;p&gt;2/ Johnson, R. A., &amp;amp; Wichern, D. W. (2002). Applied multivariate statistical analysis.&lt;/p&gt;
&lt;p&gt;3/ Härdle, W. K., &amp;amp; Simar, L. (2019). Applied multivariate statistical analysis. Springer Nature.&lt;/p&gt;
&lt;h2 class="heading" id="numerical-analysis"&gt;
 Numerical Analysis&lt;span class="heading__anchor"&gt; &lt;a href="#numerical-analysis"&gt;#&lt;/a&gt;&lt;/span&gt;
&lt;/h2&gt;&lt;h2 class="heading" id="signal-processing"&gt;
 Signal processing&lt;span class="heading__anchor"&gt; &lt;a href="#signal-processing"&gt;#&lt;/a&gt;&lt;/span&gt;
&lt;/h2&gt;&lt;h2 class="heading" id="applied-mathematics"&gt;
 Applied mathematics&lt;span class="heading__anchor"&gt; &lt;a href="#applied-mathematics"&gt;#&lt;/a&gt;&lt;/span&gt;
&lt;/h2&gt;&lt;h3 class="heading" id="machine-learning"&gt;
 Machine learning&lt;span class="heading__anchor"&gt; &lt;a href="#machine-learning"&gt;#&lt;/a&gt;&lt;/span&gt;
&lt;/h3&gt;&lt;p&gt;1/ Deisenroth, M. P., Faisal, A. A., &amp;amp; Ong, C. S. (2020). Mathematics for machine learning. Cambridge University Press.&lt;/p&gt;
&lt;p&gt;2/ Bishop, C. M., &amp;amp; Nasrabadi, N. M. (2006). Pattern recognition and machine learning (Vol. 4, No. 4, p. 738). New York: springer.&lt;/p&gt;
&lt;p&gt;3/ Koller, D., &amp;amp; Friedman, N. (2009). Probabilistic graphical models: principles and techniques. MIT press.&lt;/p&gt;
&lt;p&gt;4/ Barber, D. (2012). &lt;a href="http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/090310.pdf"&gt;Bayesian reasoning and machine learning&lt;/a&gt;. Cambridge University Press.&lt;/p&gt;
&lt;p&gt;5/ Hastie, T., Tibshirani, R., Friedman, J. H., &amp;amp; Friedman, J. H. (2009). The elements of statistical learning: data mining, inference, and prediction (Vol. 2, pp. 1-758). New York: springer.&lt;/p&gt;
&lt;p&gt;6/ Mohri, M., Rostamizadeh, A., &amp;amp; Talwalkar, A. (2018). Foundations of machine learning. MIT press.&lt;/p&gt;
&lt;p&gt;7/ Williams, C. K., &amp;amp; Rasmussen, C. E. (2006). Gaussian processes for machine learning (Vol. 2, No. 3, p. 4). Cambridge, MA: MIT press.&lt;/p&gt;
&lt;p&gt;8/ Vapnik, V. (1999). The nature of statistical learning theory. Springer science &amp;amp; business media.&lt;/p&gt;
&lt;p&gt;9/ Shalev-Shwartz, S., &amp;amp; Ben-David, S. (2014). Understanding machine learning: From theory to algorithms. Cambridge university press.&lt;/p&gt;
&lt;p&gt;10/ Wainwright, M. J., &amp;amp; Jordan, M. I. (2008). Graphical models, exponential families, and variational inference. Foundations and Trends® in Machine Learning, 1(1–2), 1-305.&lt;/p&gt;
&lt;h3 class="heading" id="optimization"&gt;
 Optimization&lt;span class="heading__anchor"&gt; &lt;a href="#optimization"&gt;#&lt;/a&gt;&lt;/span&gt;
&lt;/h3&gt;&lt;p&gt;1/ Kochenderfer, M. J., &amp;amp; Wheeler, T. A. (2019). Algorithms for optimization. Mit Press.&lt;/p&gt;
&lt;p&gt;2/ Kochenderfer, M. J., Wheeler, T. A., &amp;amp; Wray, K. H. (2022). Algorithms for decision making. MIT press.&lt;/p&gt;
&lt;p&gt;3/ Boyd, S. P., &amp;amp; Vandenberghe, L. (2004). Convex optimization. Cambridge university press.&lt;/p&gt;
&lt;p&gt;4/ Bertsekas, D. (2009). Convex optimization theory (Vol. 1). Athena Scientific.&lt;/p&gt;
&lt;p&gt;5/ Papadimitriou, C. H., &amp;amp; Steiglitz, K. (1998). Combinatorial optimization: algorithms and complexity. Courier Corporation.&lt;/p&gt;
&lt;p&gt;6/ Cook, W. J., Cunningham, W. H., Pulleyblank, W. R., &amp;amp; Schrijver, A. (2009). Combinatorial optimization. Oberwolfach Reports, 5(4), 2875-2942.&lt;/p&gt;</description></item></channel></rss>