Numerical Approximations of ODEs Initial Value Problem; A Case Study of Gluconic Acid Fermentation by Pseudomonas ovalis
Across different sections of life, physical and chemical sciences, differential equations which could be ordinary differential equations (ODEs) or partial differential equations (PDEs) are used to model the various systems as observed. Some types of ODEs, and a few PDEs are solvable by analytical me...
Gespeichert in:
Veröffentlicht in: | Journal of Advances in Mathematics and Computer Science 2021-07, p.11-23 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 23 |
---|---|
container_issue | |
container_start_page | 11 |
container_title | Journal of Advances in Mathematics and Computer Science |
container_volume | |
creator | Ihoeghian, N. A. John, B. O. |
description | Across different sections of life, physical and chemical sciences, differential equations which could be ordinary differential equations (ODEs) or partial differential equations (PDEs) are used to model the various systems as observed. Some types of ODEs, and a few PDEs are solvable by analytical methods with much difficulties. However, the great majority of ODEs, especially the non-linear ones and those that involve large sets of simultaneous differential equations, do not have analytical solutions but require the application of numerical techniques. This work focused on exemplifying numerical approximations (Adams-Bashforth-Moulton, Bogacki-Shampine, Euler) of ODEs Initial value Problem in its simplest approach using a case study of gluconic acid frementation by Psuedonomas Ovalis. The performance of the methods was checked by comparing their accuracy. The accuracy was detrermined by the size of the discretization error estimated from the difference between analytical solution and numerical approximations. The results obtained are in good agreement with the exact solution. This work affirms that numerical methods give approximate solutions with less rigorous work and time as there is room for flexibility in terms of using different step sizes with the Euler solver as most accurate. |
doi_str_mv | 10.9734/jamcs/2021/v36i630369 |
format | Article |
fullrecord | <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_9734_jamcs_2021_v36i630369</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_9734_jamcs_2021_v36i630369</sourcerecordid><originalsourceid>FETCH-crossref_primary_10_9734_jamcs_2021_v36i6303693</originalsourceid><addsrcrecordid>eNqdj9FKwzAUhoMoONweQTgvMJs2WWbxqszNeaODibchTVOIJE3Jacf69rZD0GuvzoHz_x_nI-Q-pQ_5mvHkS3mNSUazNDkxYQWjTORXZJbxlVjmuXi8_rPfkgWiLSnna86yTMzI-a33JlqtHBRtG8PZetXZ0CCEGt6ftwivje3seP5UrjdwiKF0xj9BARuFBo5dXw1T9sX1OjRWQ6FtBTsTvWm6CwrKAQ5o-ir40KgRfFLO4pzc1MqhWfzMO7LabT82-6WOATGaWrZx_CUOMqVyMpUXUzmZyl9T9t_eN-iZYak</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Numerical Approximations of ODEs Initial Value Problem; A Case Study of Gluconic Acid Fermentation by Pseudomonas ovalis</title><source>Alma/SFX Local Collection</source><creator>Ihoeghian, N. A. ; John, B. O.</creator><creatorcontrib>Ihoeghian, N. A. ; John, B. O.</creatorcontrib><description>Across different sections of life, physical and chemical sciences, differential equations which could be ordinary differential equations (ODEs) or partial differential equations (PDEs) are used to model the various systems as observed. Some types of ODEs, and a few PDEs are solvable by analytical methods with much difficulties. However, the great majority of ODEs, especially the non-linear ones and those that involve large sets of simultaneous differential equations, do not have analytical solutions but require the application of numerical techniques. This work focused on exemplifying numerical approximations (Adams-Bashforth-Moulton, Bogacki-Shampine, Euler) of ODEs Initial value Problem in its simplest approach using a case study of gluconic acid frementation by Psuedonomas Ovalis. The performance of the methods was checked by comparing their accuracy. The accuracy was detrermined by the size of the discretization error estimated from the difference between analytical solution and numerical approximations. The results obtained are in good agreement with the exact solution. This work affirms that numerical methods give approximate solutions with less rigorous work and time as there is room for flexibility in terms of using different step sizes with the Euler solver as most accurate.</description><identifier>ISSN: 2456-9968</identifier><identifier>EISSN: 2456-9968</identifier><identifier>DOI: 10.9734/jamcs/2021/v36i630369</identifier><language>eng</language><ispartof>Journal of Advances in Mathematics and Computer Science, 2021-07, p.11-23</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Ihoeghian, N. A.</creatorcontrib><creatorcontrib>John, B. O.</creatorcontrib><title>Numerical Approximations of ODEs Initial Value Problem; A Case Study of Gluconic Acid Fermentation by Pseudomonas ovalis</title><title>Journal of Advances in Mathematics and Computer Science</title><description>Across different sections of life, physical and chemical sciences, differential equations which could be ordinary differential equations (ODEs) or partial differential equations (PDEs) are used to model the various systems as observed. Some types of ODEs, and a few PDEs are solvable by analytical methods with much difficulties. However, the great majority of ODEs, especially the non-linear ones and those that involve large sets of simultaneous differential equations, do not have analytical solutions but require the application of numerical techniques. This work focused on exemplifying numerical approximations (Adams-Bashforth-Moulton, Bogacki-Shampine, Euler) of ODEs Initial value Problem in its simplest approach using a case study of gluconic acid frementation by Psuedonomas Ovalis. The performance of the methods was checked by comparing their accuracy. The accuracy was detrermined by the size of the discretization error estimated from the difference between analytical solution and numerical approximations. The results obtained are in good agreement with the exact solution. This work affirms that numerical methods give approximate solutions with less rigorous work and time as there is room for flexibility in terms of using different step sizes with the Euler solver as most accurate.</description><issn>2456-9968</issn><issn>2456-9968</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqdj9FKwzAUhoMoONweQTgvMJs2WWbxqszNeaODibchTVOIJE3Jacf69rZD0GuvzoHz_x_nI-Q-pQ_5mvHkS3mNSUazNDkxYQWjTORXZJbxlVjmuXi8_rPfkgWiLSnna86yTMzI-a33JlqtHBRtG8PZetXZ0CCEGt6ftwivje3seP5UrjdwiKF0xj9BARuFBo5dXw1T9sX1OjRWQ6FtBTsTvWm6CwrKAQ5o-ir40KgRfFLO4pzc1MqhWfzMO7LabT82-6WOATGaWrZx_CUOMqVyMpUXUzmZyl9T9t_eN-iZYak</recordid><startdate>20210714</startdate><enddate>20210714</enddate><creator>Ihoeghian, N. A.</creator><creator>John, B. O.</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20210714</creationdate><title>Numerical Approximations of ODEs Initial Value Problem; A Case Study of Gluconic Acid Fermentation by Pseudomonas ovalis</title><author>Ihoeghian, N. A. ; John, B. O.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-crossref_primary_10_9734_jamcs_2021_v36i6303693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Ihoeghian, N. A.</creatorcontrib><creatorcontrib>John, B. O.</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of Advances in Mathematics and Computer Science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ihoeghian, N. A.</au><au>John, B. O.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Numerical Approximations of ODEs Initial Value Problem; A Case Study of Gluconic Acid Fermentation by Pseudomonas ovalis</atitle><jtitle>Journal of Advances in Mathematics and Computer Science</jtitle><date>2021-07-14</date><risdate>2021</risdate><spage>11</spage><epage>23</epage><pages>11-23</pages><issn>2456-9968</issn><eissn>2456-9968</eissn><abstract>Across different sections of life, physical and chemical sciences, differential equations which could be ordinary differential equations (ODEs) or partial differential equations (PDEs) are used to model the various systems as observed. Some types of ODEs, and a few PDEs are solvable by analytical methods with much difficulties. However, the great majority of ODEs, especially the non-linear ones and those that involve large sets of simultaneous differential equations, do not have analytical solutions but require the application of numerical techniques. This work focused on exemplifying numerical approximations (Adams-Bashforth-Moulton, Bogacki-Shampine, Euler) of ODEs Initial value Problem in its simplest approach using a case study of gluconic acid frementation by Psuedonomas Ovalis. The performance of the methods was checked by comparing their accuracy. The accuracy was detrermined by the size of the discretization error estimated from the difference between analytical solution and numerical approximations. The results obtained are in good agreement with the exact solution. This work affirms that numerical methods give approximate solutions with less rigorous work and time as there is room for flexibility in terms of using different step sizes with the Euler solver as most accurate.</abstract><doi>10.9734/jamcs/2021/v36i630369</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2456-9968 |
ispartof | Journal of Advances in Mathematics and Computer Science, 2021-07, p.11-23 |
issn | 2456-9968 2456-9968 |
language | eng |
recordid | cdi_crossref_primary_10_9734_jamcs_2021_v36i630369 |
source | Alma/SFX Local Collection |
title | Numerical Approximations of ODEs Initial Value Problem; A Case Study of Gluconic Acid Fermentation by Pseudomonas ovalis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T09%3A58%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Numerical%20Approximations%20of%20ODEs%20Initial%20Value%20Problem;%20A%20Case%20Study%20of%20Gluconic%20Acid%20Fermentation%20by%20Pseudomonas%20ovalis&rft.jtitle=Journal%20of%20Advances%20in%20Mathematics%20and%20Computer%20Science&rft.au=Ihoeghian,%20N.%20A.&rft.date=2021-07-14&rft.spage=11&rft.epage=23&rft.pages=11-23&rft.issn=2456-9968&rft.eissn=2456-9968&rft_id=info:doi/10.9734/jamcs/2021/v36i630369&rft_dat=%3Ccrossref%3E10_9734_jamcs_2021_v36i630369%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |