almost lost everything there :/
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# obj
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verify whether a set of 3 values is a Pythagorean triple. A Pythagorean triple is a set of 3 positive numbers, which are expressed as a2 + b2 = c2.
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Example:
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- (3, 5, 4) is a Pythagorean triple, 3^2 + 4^2 = 5^2.
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- (10, 8, 6) is a Pythagorean triple, 6^2 + 8^2 = 10^2.
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- (6, 8, 13) is not a Pythagorean triple.
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## 1
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- Write a pseudo-code to find all Pythagorean triples from a given array using Iteration.
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- Implement your proposed algorithm in C/C++. You have to initialize a random array (any size >= 6, any value) in the main() function.
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- Calculate the complexity of your algorithm. Justify the answer (comment directly in your source files).
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## 2
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- Propose another algorithm using recursive functions and implement in C/C++ to perform the above problem.
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- Calculate the complexity of your algorithm. Justify the answer (comment directly in your source files).
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# i especially hate this one
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## prompt
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In this problem, we try to convert a decimal fraction into binary number. In the input, we are given an fraction decimal number n and integer k, convert decimal number n into equivalent binary number up-to k precision after decimal point.
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We have to follow the algorithm:
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1. Convert the integral part of decimal to binary equivalent:
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- Divide the decimal number by 2 and store remainders in array.
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- Divide the quotient by 2.
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- Repeat step 2 until we get the quotient equal to zero.
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- Equivalent binary number would be reverse of all remainders of step 1.
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2. Convert the fractional part of decimal to binary equivalent
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- Multiply the fractional decimal number by 2.
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- Integral part of resultant decimal number will be first digit of fraction binary number.
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- Repeat step 1 using only fractional part of decimal number and then step 2.
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Let's take an example for n = 4.47, k = 4
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Step 1: Conversion of 4 to binary
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1. 4/2 : Remainder = 0 : Quotient = 2
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2. 2/2 : Remainder = 0 : Quotient = 1
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3. 1/2 : Remainder = 1 : Quotient = 0
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So equivalent binary of integral part of decimal is 100.
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Step 2: Conversion of .47 to binary
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1. 0.47 \* 2 = 0.94, Integral part: 0
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2. 0.94 \* 2 = 1.88, Integral part: 1
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3. 0.88 \* 2 = 1.76, Integral part: 1
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4. 0.76 \* 2 = 1.52, Integral part: 1
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So equivalent binary of fractional part of decimal is .0111
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The final result of conversion n = 4.47 (with precision k = 4): 100.0111
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## 1
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- Write a pseudo-code to convert a natural number into binary using Iteration.
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- Implement your proposed algorithm in C/C++.
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- Calculate the complexity of your algorithm. Justify the answer (comment directly in your source files).
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## 2
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- Propose another algorithm using recursive functions and implement in C/C++ to perform the above problem.
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- Calculate the complexity of your algorithm. Justify the answer (comment directly in your source files).
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# id rather use chatgpt
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## 1
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Initialize a random array of your choice. The current goal is to verify whether an array number is
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centered cube.
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Note: a centered cube number is calculated by the following formula:
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𝑓(𝑛) = 𝑛
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3 + (𝑛 + 1)
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3
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For example, the centered cube numbers are:
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f(1) = 1
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3 + (1 + 1)
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3 = 9
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f(2) = 2
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3 + (2 + 1)
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3 = 8 + 27 = 35
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f(3) = 3
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3 + (3 + 1)
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3 = 27 + 64 = 91
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...
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- Write pseudo-code using Recursion (if necessary, Iteration) to check all values in the given
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array are centered cube or not.
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- Write a program in C/C++ to complete your proposed algorithm in the pseudo-code. .
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Note: The program must include a recursive function and the main function.
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- Calculate the complexity of your algorithm. Justify the answer.
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## 2
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This problem requires to traverse and display a tree using the following process:
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- Visit a node and find its child nodes.
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- Put the child nodes into the queue.
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- Pop a node in the queue and repeat the process until all nodes are visited.
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Justify and print the traversal result for the below tree.
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10
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4 8
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13 20 90
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## 3
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Given an array of n elements, the Bubble sort algorithm swaps repeatedly the adjacent elements
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if they are in the wrong order (ascending order). We want to implement an improve version of this
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sorting algorithm.
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The idea is to sort both maximum (at the end) and minimum (at the beginning) in one pass and the
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array is sorted from both ends.
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- Traverse from left to right and compare adjacent elements and the maximum is placed at
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right side.
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- Traverse from right to left and compare adjacent elements and the minimum is placed at
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left side.
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- Repeat the process until the array is sorted.
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Implement this algorithm in C/C++. Calculate the complexity of the above algorithm. Justify your
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answer.
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