Exercise 3
Added Exercise 3 with solutions and README to Repository
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Informatik_I/Exercise_3/Task_4b/README.md
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Informatik_I/Exercise_3/Task_4b/README.md
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# Task
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The number $\pi$ can be defined through various infinite sums. The accuracy increases with the number of terms. Considering the following sum, which we call sum 2:
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$$\frac{\pi}{2} = 1 + \sum_{j = 1}^{m - 1} \frac{\prod_{i=1}^j i}{\prod_{i=1}^j (2i + 1)} = 1 + \frac{1}{3} + \frac{1 \cdot 2}{3 \cdot 5} + \frac{1 \cdot 2 \cdot 3}{3 \cdot 5 \cdot 7} + ...$$
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Write a program that computes and outputs an approximation of Pi, based on sum 2. The input for your program is the number of **terms** $m$ (including 1) to be included in the calculation to be done. The output is the approximation of $\pi$.
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**Optional**: After you have solved this and the previous task, think about which formula gives a more precise approximation of
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, sum 1 or sum 2 ? What are the drawbacks? Write your thoughts in a comment below the code.
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## Input
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A natural number $m$ ($m \geq 1$).
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## Output
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The approximation of $\pi$ given by $m$ terms, rounded to 6 significant digits. Note that 6 significant digits is the default precision of C++ for printing floating-point values. Use a double variable to store the sum.
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**Important**: the use of functions from the math library (e.g., pow) is prohibited.
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Informatik_I/Exercise_3/Task_4b/main.cpp
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Informatik_I/Exercise_3/Task_4b/main.cpp
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#include <iostream>
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double productsumnum(double n) {
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double res = 1;
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for (int j = 1; j <= n; ++j) {
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res *= j;
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}
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return res;
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}
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double productsumden(double n) {
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double res = 1;
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for (int j = 1; j <= n; ++j) {
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res *= (2 * j + 1);
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}
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return res;
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}
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int main() {
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double m; // User Input
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double pi = 2; // Pi
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float res; // Outputed result with 6 significant digits
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std::cin >> m;
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for (int i = 1; i < m; ++i) {
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pi += (2 * (productsumnum(i) / productsumden(i)));
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}
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res = (float)(pi);
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std::cout << res;
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return 0;
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}
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