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Define Dynamic Programming
Dynamic programming is a method for solving problems with overlapping problems. Typically, these sub problems arise from a recurrence relating a solution to a given problem with solutions to its smaller sub problems of the similar type. Rather than solving overlapping subproblems again and again, dynamic programming suggests solving every of the smaller sub problems only once and recording the results in a table from which we can then get a solution to the original problem.
write a pseudocode to input the top speed (in km''s/hours) of 5000 cars output the fastest speed and the slowest speed output the average (mean) speed of all the 5000 cars answers
null(nil) = true // nil refer for empty tree null(fork(e, T, T'))= false // e : element , T and T are two sub tree leaf(fork(e, nil, nil)) = true leaf(
ST AC K is explained as follows : A stack is one of the most usually used data structure. A stack is also called a Last-In-First-Out (LIFO) system, is a linear list in
Create a class "box" that will contain a random integer value v such that O
1. Start 2. Get h 3. If h T=288.15+(h*-0.0065) 4. else if h T=216.65 5. else if h T=216.65+(h*0.001) 6. else if h T=228.65+(h*0.0028) 7. else if h T=270.65 8.
Which are the two standard ways of traversing a graph? i. The depth-first traversal ii. The breadth-first traversal
Define File organization''s and it''s types
How to measure the algorithm's efficiency? It is logical to examine the algorithm's efficiency as a function of some parameter n showing the algorithm's input size. Instance
Example: Assume the following of code: x = 4y + 3 z = z + 1 p = 1 As we have been seen, x, y, z and p are all scalar variables & the running time is constant irrespective
#questionalgorithm for implementing multiple\e queues in a single dimensional array
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