Analysis of Fibonacci Numbers Calculations Using Static Programming and Dynamic Programming Algorithms to Get Optimal Time Efficiency

Andiyani, Ventryshia and Istiono, Wirawan (2020) Analysis of Fibonacci Numbers Calculations Using Static Programming and Dynamic Programming Algorithms to Get Optimal Time Efficiency. International Journal of Open Information Technologies, 8 (12). ISSN 2307-8162

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Abstract

Fibonacci numbers are simple numbers that are the sum of two consecutive numbers. There are many methods and many way to get Fibonacci result to solve many problems in real life or programming problem, in this research will determine the optimal time efficiency to solve the problem of calculating Fibonacci numbers, either by using static programming algorithm, such as recursive algorithm or with the dynamic programming algorithm, such as top-down approach algorithm and the bottom-up approach algorithm method. The problem-solving strategy is performed by calculating the execution time required by the three algorithms to get accurate results using C language with many various counts of inputs. From the comparison of Fibonacci search methods, it was found that by using the Dynamic programming method with a bottom-up approach the algorithm has a more optimal efficiency than the top-down approach from dynamic programming or from static programming with a recursive algorithm

Item Type: Article
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming
000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods
Divisions: Faculty of Engineering & Informatics > Informatics
Depositing User: Administrator UMN Library
Date Deposited: 15 Oct 2021 04:48
Last Modified: 15 Oct 2021 04:48
URI: https://kc.umn.ac.id/id/eprint/18806

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