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The following is Euclid's 2,300-year-old algorithm for finding the greatest common divisor of two positive integers \(/\) and \(J\). Step Operation 1 Get two positive integers as input; call the larger value / and the smaller value J 2 Divide \(I\) by \(J\), and call the remainder \(R\) 3 If \(R\) is not 0 , then reset \(/\) to the value of \(J\), reset \(J\) to the value of \(R\), and go back to Step 2 4 Print out the answer, which is the value of \(J\) 5 Stop a. Go through this algorithm using the input values 20 and 32 . After each step of the algorithm is completed, give the values of \(I\), \(J\), and \(R\). Determine the final output of the algorithm. b. Does the algorithm work correctly when the two inputs are 0 and 32 ? Describe exactly what happens, and modify the algorithm so that it gives an appropriate error message.

Short Answer

Expert verified
The GCD of 20 and 32 is 4. The modified algorithm handles the zero case with an error message.

Step by step solution

01

Initial Values

Start with the numbers 20 and 32. According to the algorithm, the larger value is assigned to \(I\) and the smaller to \(J\). Thus, \(I = 32\) and \(J = 20\).
02

Calculate Remainder

Divide \(I\) by \(J\) to find the remainder \(R\). For \(I = 32\) and \(J = 20\), \(R = 32 \mod 20 = 12\).
03

Reset Values

Since \(R eq 0\), set \(I = J = 20\) and \(J = R = 12\).
04

Repeat Division

Divide \(I = 20\) by \(J = 12\), resulting in \(R = 20 \mod 12 = 8\).
05

Update Values Again

Since the remainder \(R = 8\) is not zero, set \(I = J = 12\) and \(J = R = 8\).
06

Continue Algorithm

Divide \(I = 12\) by \(J = 8\), giving \(R = 12 \mod 8 = 4\).
07

Further Update

Since \(R = 4\) is not zero, reassign \(I = J = 8\) and \(J = R = 4\).
08

Yet Another Division

Now, divide \(I = 8\) by \(J = 4\), and find \(R = 8 \mod 4 = 0\).
09

Check Termination Condition

Since \(R = 0\), stop the algorithm and print the current value of \(J\), which is 4.
10

Check Special Case (0 and 32)

Attempt to run the algorithm with \(I = 32\) and \(J = 0\). Division by zero is undefined and would cause an error.
11

Modify Algorithm

To handle the case where one of the inputs is zero, check at the beginning if \(J = 0\). If \(J = 0\), print an error message: "Error: One of the inputs is zero."

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Greatest Common Divisor
The greatest common divisor (GCD) of two numbers is the largest integer that divides both numbers without leaving a remainder. In simpler terms, it's the biggest number that fits into both numbers perfectly. For instance, the GCD of 8 and 12 is 4, because 4 is the largest number that divides both 8 and 12 without any leftovers.
Understanding the GCD is essential in various aspects of mathematics, including simplifying fractions and solving problems involving ratios. It's a foundational concept that helps in reducing numbers into their simplest forms.
  • To find the GCD, you can use multiple methods like listing factors, using prime factorization, or applying the Euclidean algorithm.
  • The Euclidean algorithm is particularly efficient for larger numbers because it reduces the problem step by step until the answer is clear.
This foundational concept will lead us into understanding how one of the most efficient ways to compute the GCD is through the Euclidean algorithm.
Algorithm Steps
The Euclidean Algorithm is a step-by-step process to calculate the GCD of two numbers. The beauty of this algorithm is its efficiency and simplicity. Here's a breakdown of the steps involved:
  • Step 1: Begin with two positive integers, and assign the larger value to \(I\) and the smaller to \(J\).
  • Step 2: Divide \(I\) by \(J\) and find the remainder \(R\).
  • Step 3: If \(R\) is not zero, update \(I\) with \(J\), and \(J\) with \(R\), then repeat from Step 2.
  • Step 4: When \(R = 0\), the current value of \(J\) is the GCD. Output this value.
  • Step 5: Terminate the algorithm.
Through repetition and reduction, the algorithm efficiently narrows down the possible values until the greatest common divisor is identified. This process ensures that you have an answer quickly even for large numbers. Understanding each step thoroughly can significantly enhance your comprehension of problem-solving in mathematics.
Error Handling
While the Euclidean Algorithm is efficient for computing the GCD of two positive integers, certain edge cases need special attention, particularly when one of the input numbers is zero. In mathematical terms, dividing by zero is undefined and can cause errors during computation.
To handle such errors, it's crucial to include a check at the start of the algorithm. Here’s how you can manage these exceptions:
  • Start the algorithm by verifying if either number is zero.
  • If one of the numbers is zero, you should provide an appropriate error message or simply output the non-zero number as the GCD (since any non-zero number is divisible by zero). For example: "Error: One of the inputs is zero."
  • Alternatively, if one number is zero and the other is valid, the valid number is the GCD because it is the only non-zero divisor available.
  • Make sure to apply this check before performing any divisions to prevent computational errors and provide meaningful results.
By addressing these potential errors, you ensure the algorithm is robust and can handle any input, maintaining accuracy and reliability in your calculations.

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Most popular questions from this chapter

One way to do multiplication is by repeated addition. For example, \(47 \times 25\) can be evaluated as \(47+47+47+\ldots+47\) (25 times). Sketch out an algorithm for multiplying two positive numbers \(a\) and \(b\) using this technique.

A student was asked to develop an algorithm to find and output the largest of three numerical values \(x, y\), and \(z\) that are provided as input. Here is what was produced: Input: \(x, y, z\) Algorithm: Check if \((x>y)\) and \((x>z)\). If it is, then output the value of \(x\) and stop. Otherwise, continue to the next line. Check if \((y>x)\) and \((y>z)\). If it is, then output the value of \(y\) and stop. Otherwise, continue to the next line. Check if \((z>x)\) and \((z>y)\). If it is, then output the value of \(z\) and stop. Is this a correct solution to the problem? Explain why or why not. If it is incorrect, fix the algorithm so that it is a correct solution.

Identify which type of algorithmic operation each one of the following steps belongs to: a. Get a value for \(x\) from the user. b. Test to determine if \(x\) is positive. If not, tell the user that he or she has made a mistake. c. Take the cube root of \(x\). d. Do Steps 1.1, 1.2, and 1.3 x times.

A salesperson wants to visit 25 cities while minimizing the total number of miles she must drive. Because she has studied computer science, she decides to design an algorithm to determine the optimal order in which to visit the cities to (1) keep her driving distance to a minimum, and (2) visit each city exactly once. The algorithm that she has devised is the following: The computer first lists all possible ways to visit the 25 cities and then, for each one, determines the total mileage associated with that particular ordering. (Assume that the computer has access to data that gives the distances between all cities.) After determining the total mileage for each possible trip, the computer searches for the ordering with the minimum mileage and prints out the list of cities on that optimal route, that is, the order in which the salesperson should visit her destinations. If a computer could analyze \(10,000,000\) separate paths per second, how long would it take to determine the optimal route for visiting these 25 cities? On the basis of your answer, do you think this is a feasible algorithm? If it is not, can you think of a way to obtain a reasonable solution to this problem?

A concept related, but not identical, to an algorithm is the idea of a heuristic. Read about heuristics and identify differences between the two. Describe a heuristic for obtaining an approximate answer to the sum of two threedigit numbers and show how this "addition heuristic" differs from the addition algorithm of Figure 1.2.

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