update,

hck717/gitUpdate.bat

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+git status .
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+@pause
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+git add .
+git commit -m"update hck717,"
+start git push

hck717/q1.md

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+A peak in a 1D list of values is a value that is not smaller than its neighbours. Assume all values are natural numbers. 
+
+For example, consider the following list of values
+a = [1, 6, 7, 4, 3, 2, 1, 4, 5, 6]
+
+Here, 7 is a peak and 6 is a peak.
+
+Write a python program that uses recursion to find a peak (not all, just one peak) given a list of values. 
+Your function should return the list index of the peak. 
+To do so you must implement the following recursive algorithm that uses the same idea as binary search (i.e., divide and conquer). 
+ •Recursively look at position n//2
+ •if a[n//2] < a[n//2 - 1] then only look at left half  0 … n//2-1 to look for a peak
+ •else if a[n//2] < a[n//2 + 1] then only look at right half n//2+1 … n-1 to look for a peak
+ •else n//2 position is a peak
+
+Note that although there are two peaks in the given example, this method will only find peak 7 at index 2. Your program must follow this behaviour.
+
+Input specification: 
+ • 
+A line with the numbers separated by space
+
+Output specification: 
+ • 
+The index of the peak
+
+Sample testcases (The bolded text are user input)
+
+Case 1:
+1 6 7 4 3 2 1 4 5 6
+2
+
+Case 2:
+1 10 2
+1

hck717/q2.md

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+A peak in a 2D list of values is a value that is not smaller than its 4 neighbours. Assume all values are natural numbers. 
+
+For example, consider the following list of values
+a = [[10,  8, 10, 10],
+     [14, 13, 12, 11], 
+     [15,  9, 11, 21],
+     [16, 17, 19, 20]]
+
+Here, 21 is the only peak.
+
+Write a python program that uses recursion to find a peak (not all, just one peak) given a list of 2D values (m columns, n rows). 
+Your function should return the list index as a tuple of the peak. 
+To do so you must implement the following recursive algorithm that uses the same idea as binary search (i.e., divide and conquer). 
+ • Pick middle column j = m//2
+ • Find global max on column j at (i, j), if there are multiple global max, pick the smallest possible i 
+ • Compare (i, j-1), (i, j), (i, j+1)
+ • Pick left columns if (i, j-1) > (i, j)
+ ◦ Similar for right
+ • (i, j) is a 2D-peak if neither conditions holds
+ • Solve the new problem with half the number of columns
+ • When you have a single column, find global max and you are done (again, if there are multiple global max, pick the smallest possible index)
+
+Similar to Q4, this method will always find a specific peak among all the others that may exist in the list of 2D values. Your program must follow this behaviour.
+
+Input specification: 
+ • n lines and m columns of numbers separated by space
+ • follow by an empty line input to determine the end of the input
+
+Output specification: 
+ • The index as a tuple of the peak
+
+Sample testcases (The bolded text are user input, including the blank line)
+
+Case 1:
+10 8 10 10
+14 13 12 11
+15 9 11 21
+16 17 19 20
+
+(2, 3)
+
+Case 2:
+1 2 3
+4 5 6
+7 8 9
+10 11 12
+
+(3, 2)