GitHub - Lopa10ko/ITMO-appliedmath-2023: A bunch of applied math labs, including implementations and overviews of Linear Programming, SVM Time Series Forecasting, Gradient Descent, Ergodic Proccesses methods and more.

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A bunch of applied math labs, including implementations and overviews of Linear Programming, SVM Time Series Forecasting, Gradient Descent, Ergodic Proccesses methods and more.

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Name		Name	Last commit message	Last commit date
Latest commit History 48 Commits
labs		labs
README.md		README.md

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	Labs	Overview
0	Numerical integration	lab0_pm1.ipynb
1	Minimization methods	lab1_pm1.md lab1_pm1.ipynb
2	Gradient descent	lab2_pm1.ipynb
3	Algebraic Linear Equations	lab3_pm1.ipynb
4	Linear programming	lab1_pm2.ipynb
5	Anthogonistic game theory	lab2_pm2.ipynb
6	Ergodic Markov chain	lab3_pm2.ipynb
7	SVM, time series forecasting	lab4_pm2.ipynb

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A bunch of applied math labs, including implementations and overviews of Linear Programming, SVM Time Series Forecasting, Gradient Descent, Ergodic Proccesses methods and more.

time-series svm minimization markov-chain linear-programming game-theory applied-mathematics gradient-descent numerical-methods algebraic-equations

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