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Markdown Guide
Karahan Sarıtaş edited this page Jun 11, 2022
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6 revisions
This page is created to help us become familiar with some of the Markdown tricks which may become very useful for our wiki page.
1.1.
-
1.1.1.
- 1.1.1.1.
- 1.1.1.2.
-
1.1.2.
- 1.1.2.1.
Syntax:
<details>
<summary> 1.1. User Requirements</summary>
* 1.1.1.
* 1.1.1.1.
* 1.1.1.2.
* 1.1.2.
* 1.1.2.1.
</details>
Week | Assignment |
---|---|
Week 1 | Percolation |
Week 2 | Queues |
Week 3 | Collinear |
Week 4 | 8 Puzzle |
Week 5 | Kd-Trees |
Syntax:
| Week | Assignment |
| ------------- |:-------------:|
| Week 1 | Percolation |
| Week 2 | Queues |
| Week 3 | Collinear |
| Week 4 | 8 Puzzle |
| Week 5 | Kd-Trees |
- Initialize all sites to be blocked.
- Repeat the following until the system percolates:
- Choose a site uniformly at random among all blocked sites.
- Open the site.
- The fraction of sites that are opened when the system percolates provides an estimate of the percolation threshold.
Syntax:
* 1.
* 1.1.
* 1.1.1.
* 1.1.2.
* 1.1.3.
- https://coursera.cs.princeton.edu/algs4/assignments/percolation/specification.php
- https://en.wikipedia.org/wiki/Percolation
Syntax:
* https://coursera.cs.princeton.edu/algs4/assignments/percolation/specification.php
* https://en.wikipedia.org/wiki/Percolation
Syntax:
* [WordNet](https://wordnet.princeton.edu/)
* [Underlying Algorithm](https://www.youtube.com/watch?v=6NcIJXTlugc)
* [Default Argument](https://www.geeksforgeeks.org/default-arguments-in-python/)
- xi
- xt
Syntax:
* x<sub>i</sub>
* x<sub>t</sub>
- sr
- xxk
Syntax:
* s<sup>r</sub>
* x<sup>x<sup>k</sup></sup>
- gate, logic gate
- AND circuit, AND gate
- di = distance(xi, x1) + distance(xi, x2) + ... + distance(xi, xn)
Syntax:
* _gate, logic gate_
* _AND circuit, AND gate_
* _d<sub>i</sub> = distance(x<sub>i</sub>, x<sub>1</sub>) + distance(x<sub>i</sub>, x<sub>2</sub>) + ... + distance(x<sub>i</sub>, x<sub>n</sub>)_
Syntax:
![WhatsApp Image 2022-02-21 at 16 29 36](https://user-images.githubusercontent.com/44376034/156889673-51475512-fcc7-4345-9af4-eea0ef17618e.jpeg)
- This can be done via Dijkstra's algorithm, dynamic programming, greedy algorithm or graph cuts among others.
This can be done via <b>Dijkstra's algorithm</b>, <b>dynamic programming</b>, <b>greedy algorithm</b> or <b>graph cuts</b> among others.
- At some point during the season, team i has
w[i]
wins,l[i]
losses,r[i]
remaining games, andg[i][j]
games left to play against team j.
def period(length):
T = 2*(3.14)*pow(length/9.8, 1/2)
return T
L = float(input())
print(period(L))
Syntax:
* <img src="https://render.githubusercontent.com/render/math?math=\large ax^{2} %2B bx %2B c">
* <img src="https://render.githubusercontent.com/render/math?math=\large x = (-b \pm \sqrt{b^{2} - 4ac}) /2a ">
* <img src="https://render.githubusercontent.com/render/math?math=\large f({\bf x}) = 1 %2B x %2B \frac{x^2} {2!} %2B \frac{x^3} {3!} %2B \frac{x^4} {4!} %2B \ldots">
* <img src="https://render.githubusercontent.com/render/math?math=\large x=\frac{-b\pm\sqrt{b^2-4ac}}{2a}">
* <img src="https://render.githubusercontent.com/render/math?math=\large \dfrac{\pi}{180}">
* <img src="https://render.githubusercontent.com/render/math?math=\large T = 2\pi\sqrt{\dfrac{L}{g}}">
* <img src="https://render.githubusercontent.com/render/math?math=\large H(n, r)=\frac{1}{1^r} %2B \frac{1}{2^r} %2B ... %2B \frac{1}{n^r}">
* <img src="https://render.githubusercontent.com/render/math?math=\large y_0=y - \frac{(14 - m)}{12}">
* <img src="https://render.githubusercontent.com/render/math?math=\large x=y_0 %2B \frac{y_0}{4} - \frac{y_0}{100} %2B \frac{y_0}{400}">
* <img src="https://render.githubusercontent.com/render/math?math=\large m_0=m %2B 12 * (\frac{14 - m}{12}) - 2">
* <img src="https://render.githubusercontent.com/render/math?math=\large d_0= (d %2B x %2B \frac{31*m_0}{12}) \mod 7 ">
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