wolfofalgstreet / HUGE-Fibonacci

Overcomes the integer overflow problem by using arrays to represent values, algorithm can compute HUGE Fibonacci sequences very fast, O(nk) time.

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HUGE-Fibonacci

Program avoids repetitive computation by computing the sequence linearly form the bottom up: F(0) through F(n). This implementation also overcomes the limitations of a 32-bit integer in C, overflow is avoided by representing integers as arrays of individual digits.

Overview

Computational Considerations for Recursive Fibonacci

Calculating Fibonacci numbers with the most straightforward recursive implementation of the function is prohibitively slow, as there is a lot of repetitive computation:

int fib(int n) {
 // base cases: F(0) = 0, F(1) = 1
 if (n < 2)
 return n;
 // definition of Fibonacci: F(n) = F(n – 1) + F(n - 2)
 return fib(n1) + fib(n2);
}

This recursive function sports an exponential runtime. Instead the approach is to achieve linear runtime by building from base cases, F(0) = 0 and F(1) = 1, toward the desired result, F(n). Thus avoid the expensive and exponentially EXplOsIVe recursive function calls.

Representing Huge Integers in C

The linear Fibonacci function has a big problem, though, which is perhaps less obvious than the original runtime issue: when computing the sequence, we quickly exceed the limits of C’s 32-bit integer representation. On most modern systems, the maximum int value in C is 232-1, or 2,147,483,647. The first Fibonacci number to exceed that limit is F(47) = 2,971,215,073.

Even C’s 64-bit unsigned long long int type is only guaranteed to represent non-negative integers up to and including 18,446,744,073,709,551,615 (which is 264-1).The Fibonacci number F(93) = 12,200,160,415,121,876,738 which can be stored as an unsigned long long int. However, F(94) = 19,740,274,219,868,223,167 which is too big to store in any of C’s extended integer data types.

To overcome this limitation, we will represent integers in this program using arrays, where each index holds a single digit of an integer.

For reasons that will soon become apparent, we will store our integers in reverse order in these arrays. So, for example, the numbers 2,147,483,648 and 10,0087 would be represented as:

0 1 2 3 4 5 6 7 8 9
[a] 8 4 6 3 8 4 7 4 1 2
[b] 7 8 0 0 0 1

Storing these integers in reverse order makes it really easy to add two of them together. The ones digits for both integers are stored at index [0] in their respective arrays, the tens digits are at index [1], the hundreds digits are at index [2], and so on.

So, to add these two numbers together, we add the values at index [0] (8 + 7 = 15), throw down the 5 at index [0] in some new array where we want to store the sum, carry the 1, add it to the values at index [1] in our arrays (1 + 4 + 8 = 13), and so on

In this program, we will use this array representation for integers. The arrays will be allocated dynamically, and we will stuff each array inside a struct that also keeps track of the array’s length:

typedef struct HugeInteger
{
 // a dynamically allocated array to hold the digits
 // of a huge integer, stored in reverse order
 int *digits;
 // the number of digits in the huge integer (which is
 // approximately equal to the length of the array)
 int length;
} HugeInteger;

Unsigned Integers and limits.h

unsigned int n;

Because an unsigned int is typically 32 bits (like the normal int data type), but doesn’t need to use any of those bits to signify a sign, it can make out a higher maximum positive integer value than a normal int.

It is necessary to know what the maximum value is that can be represented using an unsigned int on the system where the program is running. That value is defined in the system’s limits.h file, which was #included from the Fibonacci.c source file, like so:

#include <limits.h>

limits.h defines a value called UINT_MAX, which is the maximum value an unsigned int can hold. It also defines INT_MAX (the maximum value an int can hold), UINT_MIN, INT_MIN, and many others.

Note that (UINT_MAX + 1) necessarily causes integer overflow, but since an unsigned int can’t be negative, (UINT_MAX + 1) just wraps back around to zero.

Functions

hugeDestroyer()

HugeInteger *hugeAdd(HugeInteger *p, HugeInteger *q);
  • Description: Return a pointer to a new, dynamically allocated HugeInteger struct that contains the result of adding the huge integers represented by p and q.
  • Notes: If a NULL pointer is passed to this function, it simply returns NULL. If any dynamic memory allocation functions fail within this function, also returns NULL, consideration to avoid memory leaks when you doing so needs to be taken.
  • Returns A pointer to the newly allocated HugeInteger struct, or NULL in the special cases mentioned above.

parseString()

HugeInteger *parseString(char *str);
  • Description: Convert a number from string format to HugeInteger format.
  • Notes: : If the empty string (“”) is passed to this function, treat it as a zero (“0”). If any dynamic memory allocation functions fail within this function, or if str is NULL, return NULL, again trying to avoid memory leaks when doing so. It is assumed the string will only contain ASCII digits ‘0’ through ‘9’, and that there will be no leading zeros in the string.
  • Returns: A pointer to the newly allocated HugeInteger struct, or NULL if dynamic memory allocation fails or if str is NULL.

parseInt()

HugeInteger *parseInt(unsigned int n)
  • Description Convert the unsigned integer n to HugeInteger format.
  • Notes: If any dynamic memory allocation functions fail within this function, return NULL, consider avoiding memory leaks when doing so.
  • Returns A pointer to the newly allocated HugeInteger struct, or NULL if dynamic memory allocation fails at any point.

toUnsignedInt()

unsigned int *toUnsignedInt(HugeInteger *p);
  • Description: Convert the integer represented by p to a dynamically allocated unsigned int, and return a pointer to that value. If p is NULL, simply return NULL. If the integer represented by p exceeds the maximum unsigned int value defined in limits.h, return NULL.
  • Note: The sole reason this function returns a pointer instead of an unsigned int is so that we can return NULL to signify failure in cases where p cannot be represented as an unsigned int.
  • Returns: A pointer to the dynamically allocated unsigned integer, or NULL if the value cannot be represented as an unsigned integer (including the case where p is NULL).

fib()

HugeInteger *fib(int n);
  • Description This is the Fibonacci function; this is where the magic happens. Implementation of an iterative solution that runs in O(nk) time and returns a pointer to a HugeInteger struct that contains F(n). (See runtime note below.) Making sure to prevent memory leaks before returning from this function.
  • Runtime Consideration: In the O(nk) runtime restriction, n is the parameter passed to the function, and k is the number of digits in F(n). So, within this function, you can make a total of n calls to a function that is O(k) (or faster).
  • Space Consideration: When computing F(n) for large n, it’s important to keep as few Fibonacci numbers in memory as necessary at any given time. For example, in building up to F(10000), you won’t want to hold Fibonacci numbers F(0) through F(9999) in memory all at once. Find a way to have only a few Fibonacci numbers in memory at any given time over the course of a single call to fib().
  • Notes: You may assume that n is a non-negative integer. If any dynamic memory allocation functions fail within this function, return NULL, noting to avoid memory leaks when doing so.
  • Returns: A pointer to a HugeInteger representing F(n), or NULL if dynamic memory allocation fails.

Requirements

You must have the gcc compiler installed on your machine.

Compilation and Testing (Linux/Mac Command Line) & Windows

To compile the source file (.c files) at the command line:

gcc main.c

Linux

By default, this will produce an executable file called a.out, which can ran by typing:

./a.out

Windows

This will produce an a.exe file, which can be ran by typing:

a.exe

Linux & Windows

If you want to name the executable file something else, use:

gcc Fibonacci.c testcase01.c -o fib.exe

Linux

...and then run the program using:

./fib.exe

Windows

...and then run the program using:

fib.exe

Running the program could potentially dump a lot of output to the screen. If you want to redirect your output to a text file in Linux, it’s easy. Just run the program using the following command, which will create a file called whatever.txt that contains the output from your program:

./fib.exe > whatever.txt

When the program begins, it will ask for the number of fibs to calculate. It then will proceed to linearly reach the nth fibonacci number.

Demo

About

Overcomes the integer overflow problem by using arrays to represent values, algorithm can compute HUGE Fibonacci sequences very fast, O(nk) time.

License:MIT License


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