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imperfect_notes/pragy/Binary Search 1.md
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imperfect_notes/pragy/Binary Search 1.md
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Binary Search
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-------------
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- needs ordering (not necessarily sorting, since orderings can be of more than one type)
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- basically, some proposition which makes
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```
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N N N N N N Y Y Y Y Y Y Y
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```
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- ask about how many people are encountering Binary Search for the first time
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- quickly explain Binary Search. Ask if everyone can implement it
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- Recurrennce implementation
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Implementation of Binary Search
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-------------------------------
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- loop till low <= high
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- Computing mid:
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```
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m = (l+h) / 2
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```
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vs
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```
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m = l + (h-l)/2
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```
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Time complexity
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---------------
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- Recurrence for time complexity: $T(n) = T(n/2) + O(1)$
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- Solve this recurrence to show complexity is $O(\log_2 n)$
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Ternary Search
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--------------
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- Ternary Search: $T(n) = T(n/3) + O(1)$
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- Ternary Search isn't really faster. Since $O(1)$ of binary search is less than $O(2)$ of ternary search. $1 \times \log_2 n < k \times \log_k n$. Extreme Case: $k=n$, n-ary search, which is same as linear search
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Eventual value of low and high if element is not present?
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---------------------------------------------------------
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- if searching for $x$, after termination, $A_l >= x$ while $A_h <= x$
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- Note that the roles are reversed
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Repeated elements, Find first occurance of element
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-------------------------------
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- when `array[mid] == x`, either we've hit the first occurance or hit the not-first occurance.
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- if `array[mid] == x` then check if `array[mid - 1] == x`. If yes, do `high = mid - 1` and continue, since this is not the first occurance.
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- edge case: if `mid = 0`, then make sure that you don't check `array[-1]`
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-- --
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Rotated array:
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--------------
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- if shifted to the right
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- `6 7 8 9 0 1 2 3 4 5`
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- `A[0] >= A[-1]`. If this is not true, there was no rotation
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- Now, we have mid, let's say 2
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- Now, if 2 is in the first half, then it must be greater than last element
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- Else it should be smaller than last element.
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- So search for rotation point based on this
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Find any peak element in _unsorted_ array
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------------------------------------------
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- Peak element is one that is not smaller than its neighbors
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- 1, **5**, 3, 2, 1, **6**, 5
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- $\log n$ time using binary search
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- if sorted ascending, peak is last
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- if sorted descending, first element is peak
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- algo:
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- check mid.
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- 1 6 5
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- if `a[m-1] <= a[m] >= a[m+1]`, then peak
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- 7 6 5
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- if `a[m-1] > a[m] >= a[m+1]`, then move left
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- theorem: one peak exists to the left
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- 90 80 70 60 50
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- ofcourse, there could be a peak to the right, but we can safely go left
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- 7 6 8
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- move in either of the parts, since peaks exist on both sides
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All but one element comes twice, find this element. Sorted array
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----------------------------------------------------------------
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- 0 0 4 4 **5** 7 7 8 8
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- get mid. find its first occurance in log n time.
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- check if number of elements from mid to last is even or odd.
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- odd: singular exists in latter part
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- even: singular exists in former part
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Family of strings
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-----------------
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- $s_0 = 0$
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- $s_i = s_{i-1} \cdot 0 \cdot (s_{i-1})'$
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```
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s0 = 0 1
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s1 = 001 3
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s2 = 0010110 7
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s3 = 001011001101001 15
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```
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- Given N, k, find kth character of $S_n$.
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- Length of string: $|S_n| = 2^{n+1} - 1$
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- Draw tree. Show toggling of bits
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Staircase
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---------
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```
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__
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__|__|
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__|__|__|
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__|__|__|__|
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|__|__|__|__|
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```
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- heights: 1, 2, ... h
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- Given $n$ bricks, find the max height of staircase that can be built
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- Let ans be $h$. Then number of bricks needed = $h(h+1) / 2$
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- Now, binary search on h. Min = 0, max = n.
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- if f(h) > n, go left
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- if f(h) < n and f(h+1) >= n. Stop
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- if f(h) < n and f(h+1) < n, go right
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-
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MxN Matrix. Each row sorted. MxN is odd. Find overall median
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------------------------------------
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$M \times N$ matrix. Note: $M \times N$ is odd.
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```
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4 6 7
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1 7 9
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2 2 3
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```
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actual answer: 4
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1 2 2 3 **4** 6 7 7 9
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- Vanilla - concat and sort arrays. $O(mn \log{mn})$
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- Median of Medians doesn't work, 7 is not the correct answer
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- Note: lowest element is from 1st col, and largest is from last col (since rows are sorted)
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- M rows. Find low and high in O(m) time
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- Now, if x is median, then 1/2 elements should be smaller, 1/2 should be bigger
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- more correctly, if x is repeated, then if first occurance of x is l, last occurance is r, then if l <= n/2 <= r, then x is median
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- now, in each row, find how many >x and <x.
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- if l <= n/2 <= r - stop
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- if r < n/2, increase low
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- if l > n/2, decrease high
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- Time complexity: $O(m \log n \log{(\max - \min)})$
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- why odd? 1 4 6 9, and searching for 5. both side are n/2 so we don't know what to increase/decrease
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Any doubts, will you be able to code it?
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----------------------------------------
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-- --
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- 4 things
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- lecture 1 hour
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- assignment (4 questions) same which were discussed in class
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- standup session (homework problem / doubts)
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- homework problem
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- 2 links generated - standup lecture and lecture
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- operations guy will help setting up of lectures
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- TAs will take a standup session, not me
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- share questions and homeworks
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