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April 27, 2014 23:45
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Comparing square root methods - Brute force vs Babylonian method. An understanding of mathematical convergence, and time complexity
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/* | |
The MIT License (MIT) | |
Copyright (c) 2014 Quoc Le <[email protected]> | |
Permission is hereby granted, free of charge, to any person obtaining a copy | |
of this software and associated documentation files (the "Software"), to deal | |
in the Software without restriction, including without limitation the rights | |
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
copies of the Software, and to permit persons to whom the Software is | |
furnished to do so, subject to the following conditions: | |
The above copyright notice and this permission notice shall be included in | |
all copies or substantial portions of the Software. | |
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | |
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN | |
THE SOFTWARE. | |
*/ | |
#include <stdio.h> | |
#include <math.h> | |
#include <stdlib.h> /* atof */ | |
/* sqrt(n) = x * x | |
We can brute force calculate the square root by picking a number x as N, and decrement | |
until the accuracy converges to what we what. However, the time complexity is | |
directly proportional to the acccuracy. | |
O(complexity) = n - actual_result / accuracy | |
So time increases as accuracy gets better and/or number gets larger. What if there is a method | |
to quickly converge where we can achieve both lower time & higher accuracy & support for large numbers. | |
*/ | |
float sqrt_brute_force(float n) { | |
float result; | |
int count = 0; | |
if (n > 1) { | |
result = n; | |
while(true) { | |
float predicted = result * result; | |
float diff = n - predicted; | |
printf("value = %f predicted = %f diff = %f\n ", result, predicted, diff ); | |
if (diff < 0 ) { | |
result = result - 0.00001; | |
} else { | |
break; | |
} | |
count++; | |
} | |
printf("count=%d\n", count); | |
} | |
else { | |
} | |
return result; | |
} | |
/* | |
* Babylonian Method, found in 60 AD. | |
* very quick convergence, and works when S < 1.0 | |
* | |
* 1. Begin with an arbitrary positive starting value x0 (the closer to the actual square root of S, the better). | |
* 2. Let xn+1 be the average of xn and S / xn (using the arithmetic mean to approximate the geometric mean). | |
* 3. Repeat step 2 until the desired accuracy is achieved. | |
* | |
* http://en.wikipedia.org/wiki/Methods_of_computing_square_roots | |
*/ | |
double sqrt(float S) { | |
printf("***"); | |
double x0 = S / 2.0f; | |
double x1; | |
double accuracy; | |
do { | |
x1 = 0.5 * (x0 + (S/x0)); | |
accuracy = fabs((x1* x1) - S); | |
printf("X1 = %f Accuracy %f\n", x1, accuracy); | |
x0 = x1; | |
} | |
while(accuracy > 0.000001); | |
return x1; | |
} | |
int main(int argc, char* argv[]) { | |
float x = atof(argv[1]); | |
printf("**** input = %f result = %f \n", x, sqrt(x)); | |
} |
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