<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AM</journal-id><journal-title-group><journal-title>Applied Mathematics</journal-title></journal-title-group><issn pub-type="epub">2152-7385</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/am.2013.43065</article-id><article-id pub-id-type="publisher-id">AM-28842</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Exact Solution for a Class of Stiff Systems by Differential Transform Method
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>uhammad</surname><given-names>Idrees</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fazle</surname><given-names>Mabood</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Asar</surname><given-names>Ali</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gul</surname><given-names>Zaman</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>University of Malakand, Chakdara Dir (Lower), Pakistan</addr-line></aff><aff id="aff1"><addr-line>City University of Science and Information Technology, Peshawar, Pakistan</addr-line></aff><aff id="aff2"><addr-line>Edwardes College, Peshawar, Pakistan</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>dr_m_idrees_khan@yahoo.com(UI)</email>;<email>mabood1971@yahoo.com(FM)</email>;<email>engrasar45@gmail.com(AA)</email>;<email>gzaman@uom.edu.pk(GZ)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>21</day><month>03</month><year>2013</year></pub-date><volume>04</volume><issue>03</issue><fpage>440</fpage><lpage>444</lpage><history><date date-type="received"><day>November</day>	<month>22,</month>	<year>2012</year></date><date date-type="rev-recd"><day>February</day>	<month>1,</month>	<year>2013</year>	</date><date date-type="accepted"><day>February</day>	<month>8,</month>	<year>2013</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  In this paper, Differential Transform Method (DTM) is proposed for the closed form solution of linear and non-linear stiff systems. First, we apply DTM to find the series solution which can be easily converted into exact solution. The method is described and illustrated with different examples and figures are plotted accordingly. The obtained result confirm that DTM is very easy, effective and convenient.
 
</p></abstract><kwd-group><kwd>Differential Transform Method; Stiff System; Inverse Differential Transform</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Consider the stiff initial value problem [<xref ref-type="bibr" rid="scirp.28842-ref1">1</xref>]:</p><disp-formula id="scirp.28842-formula83982"><label>(1)</label><graphic position="anchor" xlink:href="3-7401271\50309ab3-5d40-4cba-af70-1ea39ccbe919.jpg"  xlink:type="simple"/></disp-formula><p>on the finite interval<img src="3-7401271\e0a1c2a8-ce95-4d42-b77b-7cf88beb22ff.jpg" />, where</p><p><img src="3-7401271\9a0cc28d-5bb4-4647-83fe-a5dfcf3a958a.jpg" />and <img src="3-7401271\586c7460-bcc4-476f-8dea-19f7a4a3290f.jpg" /> are continuous.</p><p>The initial value problem of stiff differential equations occurs in almost every field of science [1-5], particularly, in the fields of:</p><p>1) Chemical Reactions: A famous chemical reaction is the Oregenator reaction between HBrO<sub>2</sub>, Br<sup>−</sup>, and Ce (IV) described by Field and Noyes in 1984.</p><p>2) Reaction-diffusion systems: Problems in which the diffusion is modeled via the Laplace operator may become stiff as they are discretized in space by finite differences or finite elements. Well-known example of such systems which appear so often in mathematical biology.</p><p>Several further occurrences of stiffness can be found in electrical circuits, mechanics, meteorology, oceanography and vibrations.</p><p>Definition 1: If the solution of the system contains components which change at significantly different rates for given changes in the independent variable, then system is said to be stiff [2,3].</p><p>Stiff differential equations are characterized as those whose exact solution has a term of the form<img src="3-7401271\9646abd6-beb1-4ad4-ba72-8924570927e5.jpg" />, where</p><p><img src="3-7401271\6e1c9ec1-2c9b-46f1-a916-0e6310e00f91.jpg" />is a large positive constant. The key features of stiff equations are that the derivative terms may increase rapidly as t increases [<xref ref-type="bibr" rid="scirp.28842-ref1">1</xref>].</p><p>In the last three decades numerous works have been focusing on the development of more advanced and efficient methods for stiff problems [1,2]. The situation becomes more complicated when stiffness coupled with nonlinearity. Carroll presents an exponential fitted scheme for solving stiff systems of initial value problems [<xref ref-type="bibr" rid="scirp.28842-ref3">3</xref>]. The numerical solution of linear and nonlinear system of stiff system can be found in [4-6].</p><p>Differential Transform Method (DTM) is a semi numerical method which gives series solution. But sometimes the series solution can be easily converted into closed form solution. This Method was first introduced by Zhou [<xref ref-type="bibr" rid="scirp.28842-ref7">7</xref>] who solved linear and non-linear problems in electrical circuit problems. After that the method become very popular to solved different kind of problems. The year wise detail of such problems is as follows.</p><p>In [<xref ref-type="bibr" rid="scirp.28842-ref8">8</xref>], two dimensional DTM is used to solve partial differential equations (PDEs). In [<xref ref-type="bibr" rid="scirp.28842-ref9">9</xref>], one dimensional DTM is applied to solve linear and nonlinear initial value problems. In [<xref ref-type="bibr" rid="scirp.28842-ref10">10</xref>], one and two dimensional DTM has been applied to solve eigenvalue problems and PDEs. In [<xref ref-type="bibr" rid="scirp.28842-ref11">11</xref>], two dimensional DTM is applied to solve initial value problems for PDEs. In [<xref ref-type="bibr" rid="scirp.28842-ref12">12</xref>], DTM is used to solve parameters identification problems. In [<xref ref-type="bibr" rid="scirp.28842-ref13">13</xref>], DTM was applied to transient advective-dispersive transport equation. In [<xref ref-type="bibr" rid="scirp.28842-ref14">14</xref>] used one dimensional DTM to solve differential-algebraic equations. In [<xref ref-type="bibr" rid="scirp.28842-ref15">15</xref>], three dimensional DTM is used to solve linear and nonlinear PDEs. In [<xref ref-type="bibr" rid="scirp.28842-ref16">16</xref>], generalized DTM is used to solve PDEs. In [17,18], DTM is used to solve boundary value problems for integro-differential equations. In [<xref ref-type="bibr" rid="scirp.28842-ref19">19</xref>], different approximate methods has been used for initial value problems. In [<xref ref-type="bibr" rid="scirp.28842-ref20">20</xref>], two dimensional DTM is utilized to solve linear and nonlinear PDEs. In [<xref ref-type="bibr" rid="scirp.28842-ref21">21</xref>], DTM is used to solve free vibrations equations of beam on elastic soil. In [<xref ref-type="bibr" rid="scirp.28842-ref22">22</xref>], DTM is applied to solve difference equations. In [<xref ref-type="bibr" rid="scirp.28842-ref23">23</xref>], DTM is applied to solve differential-difference equations. In [24, 25], Generalized DTM is used to solve multi order fractional differential equations and linear PDEs of fractional order respectively. In [<xref ref-type="bibr" rid="scirp.28842-ref26">26</xref>], DTM is used to solve fourth order boundary value problem. In [<xref ref-type="bibr" rid="scirp.28842-ref27">27</xref>], two dimensional DTM is used to solve non-linear oscillatory system. In [<xref ref-type="bibr" rid="scirp.28842-ref28">28</xref>], Idrees et al. has applied DTM for the exact solution of Goursat Problems, in [<xref ref-type="bibr" rid="scirp.28842-ref29">29</xref>] the authors have utilized an efficient method for stiff system, whilst in [<xref ref-type="bibr" rid="scirp.28842-ref30">30</xref>] the authors presented the numerical solution of the stiff system.</p><p>In this paper, we solve the linear and non-linear stiff system via DTM. In Section 2, we give some basic properties of one-dimensional DTM. In Section 3, we have applied the method to linear and non-linear stiff systems.</p></sec><sec id="s2"><title>2. One-Dimensional Differential Transform</title><p>In this section, we first give some basic properties of one-dimensional differential transform method. Differential transform of a function <img src="3-7401271\9eb19f65-d710-439f-9b86-e85da939d1d1.jpg" /> is defined as follows:</p><disp-formula id="scirp.28842-formula83983"><label>, (2)</label><graphic position="anchor" xlink:href="3-7401271\c24dca7c-abf1-44b7-a108-ad7bd31ce10d.jpg"  xlink:type="simple"/></disp-formula><p>where <img src="3-7401271\c642ab26-89b5-4abf-a18d-056dba13f3d5.jpg" /> is the original function and <img src="3-7401271\3b420468-bd2f-435c-ae78-2d4c09ad1ee5.jpg" /> is the transformed function for<img src="3-7401271\73c7eb44-5476-4700-80d9-c574b776a96c.jpg" />. The differential inverse transform of <img src="3-7401271\f49f4d55-4df0-475b-807d-fb1bf69d1d75.jpg" /> is defined as</p><disp-formula id="scirp.28842-formula83984"><label>. (3)</label><graphic position="anchor" xlink:href="3-7401271\91010b0e-e8b2-4cca-b682-015c1aa7c0c2.jpg"  xlink:type="simple"/></disp-formula><p>From Equations (2) and (3) we get</p><disp-formula id="scirp.28842-formula83985"><label>, (4)</label><graphic position="anchor" xlink:href="3-7401271\ae9ce0be-e64f-45a2-925d-ba0346166fbb.jpg"  xlink:type="simple"/></disp-formula><p>which implies that the concept of DTM is derived from Taylor series expansion, but the method does not evaluate the derivative symbolically. However, relative derivatives are calculated by an iterative procedure which is described by the transformed equations of the original functions.</p><p>In this work, we use the lower case letters to represent the original functions and upper case letters to represent the transformed functions. In actual applications, the function <img src="3-7401271\67cd98e4-8491-427e-b305-2d7cf903beed.jpg" /> is expressed by a finite series Equation (5) can be written as</p><disp-formula id="scirp.28842-formula83986"><label>. (5)</label><graphic position="anchor" xlink:href="3-7401271\f9f96cdf-9b4f-4cd5-bf4f-043f9452ed23.jpg"  xlink:type="simple"/></disp-formula><p>Here <img src="3-7401271\dca05601-c80c-449e-b583-ff6d94262015.jpg" /> is represented the convergence of natural frequency.</p><p>From Equations (2) and (3) we obtain <xref ref-type="table" rid="table1">Table 1</xref> of the fundamental operations of one-dimensional differential transform method is given by.</p></sec><sec id="s3"><title>3. Application to Stiff System</title><p>In this section, we apply DTM to both linear and nonlinear stiff systems.</p><p>Problem 1: Consider the linear stiff system:</p><disp-formula id="scirp.28842-formula83987"><label>, (6)</label><graphic position="anchor" xlink:href="3-7401271\94e8c779-4ca6-4114-aed5-1810d3aec1c3.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.28842-formula83988"><label>, (7)</label><graphic position="anchor" xlink:href="3-7401271\85ec6063-4708-4e43-8d76-f94ed9063475.jpg"  xlink:type="simple"/></disp-formula><p>with initial value<img src="3-7401271\02097c99-b515-4c0b-a8b0-fb353e77d4ea.jpg" />, <img src="3-7401271\c9c68ba0-ef0f-42b8-a42d-a757ab12276e.jpg" /></p><p>This system has eigen values of large modulus lying closed to the imaginary axis<img src="3-7401271\bdd0d31d-342f-45cf-bd3f-eac6ea8f3c60.jpg" />.</p><p>By applying Differential Transformation, we have</p><disp-formula id="scirp.28842-formula83989"><label>, (8)</label><graphic position="anchor" xlink:href="3-7401271\2c32351b-1ba9-4541-8677-310d9fe11dc2.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.28842-formula83990"><label>. (9)</label><graphic position="anchor" xlink:href="3-7401271\8510c638-80e0-447b-9452-3f9af7a5e12b.jpg"  xlink:type="simple"/></disp-formula><p>The initial conditions of Differential Transformation are given by:</p><p><img src="3-7401271\1e3e0645-e151-43f0-92d3-fd71e4aa29b6.jpg" />.</p><p>For<img src="3-7401271\e8c2b2f0-9ee3-4d70-bef1-fc43e1b6b618.jpg" />, the series coefficients for <img src="3-7401271\4a771cb1-2264-4fe2-aa04-decd98982be7.jpg" /> and <img src="3-7401271\fbc4c054-de1a-4b39-bd85-3a7fea8ae5db.jpg" /> can be obtained as</p><p><xref ref-type="table" rid="table1">Table 1</xref>. The fundamental operations of one-dimensional DTM.</p><p><img src="3-7401271\63263321-12ad-41b1-a408-21ba22d555bc.jpg" /></p><p><img src="3-7401271\2a7166f5-ddd5-48a8-a6f4-c8f81b9502d2.jpg" /></p><p><img src="3-7401271\86bfe5b7-11ee-47b2-90c8-05357779307d.jpg" /></p><p>We used MATHEMATICA to calculate the unknown coefficients <img src="3-7401271\7098e782-71b3-47d8-909c-c43ce2691e21.jpg" /> and<img src="3-7401271\b3156f59-2bfb-47d4-8c2e-8220bd5db7ed.jpg" />.</p><p>Using the inverse Transform, we get</p><disp-formula id="scirp.28842-formula83991"><label>, (10)</label><graphic position="anchor" xlink:href="3-7401271\7dfb1fe8-baa6-493f-b6bd-221c8630aa28.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.28842-formula83992"><label>, (11)</label><graphic position="anchor" xlink:href="3-7401271\151a896e-5f6d-466c-8447-1c2764c56e10.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.28842-formula83993"><label>. (12)</label><graphic position="anchor" xlink:href="3-7401271\cf803a21-41ef-445b-9410-73b92894ca1c.jpg"  xlink:type="simple"/></disp-formula><p>Equations (10) and (11) can be written in the exponential form are given by</p><disp-formula id="scirp.28842-formula83994"><label>, (13)</label><graphic position="anchor" xlink:href="3-7401271\faf795b6-a4cb-45fb-80d0-e6a23e21bc0a.jpg"  xlink:type="simple"/></disp-formula><p>and</p><disp-formula id="scirp.28842-formula83995"><label>. (14)</label><graphic position="anchor" xlink:href="3-7401271\613f48d1-de4d-46f5-8e98-6f17322b234a.jpg"  xlink:type="simple"/></disp-formula><p>Thus we get the exact solution by differential transform method.</p><p>Problem 2: Consider the non-linear system in the form of initial value problems [<xref ref-type="bibr" rid="scirp.28842-ref1">1</xref>] is given by:</p><disp-formula id="scirp.28842-formula83996"><label>, (15)</label><graphic position="anchor" xlink:href="3-7401271\e47d3875-0b41-4b91-b225-22cda7222363.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.28842-formula83997"><label>. (16)</label><graphic position="anchor" xlink:href="3-7401271\d42483b7-514c-4b86-b61b-67c06dd7f599.jpg"  xlink:type="simple"/></disp-formula><p>Applying Differential Transform, we have</p><disp-formula id="scirp.28842-formula83998"><label>, (17)</label><graphic position="anchor" xlink:href="3-7401271\0487f7ee-e9f9-499e-8cd2-f4f080ff5e11.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.28842-formula83999"><label>. (18)</label><graphic position="anchor" xlink:href="3-7401271\71e1e615-8e48-49ae-b816-5c27f52d35b7.jpg"  xlink:type="simple"/></disp-formula><p>For <img src="3-7401271\c1dcd0ad-35e5-4f6a-87eb-0424e9f8aad7.jpg" /> the series coefficients for <img src="3-7401271\f6bfd046-a0f0-4868-abb7-a588d7cfe9fe.jpg" /> and <img src="3-7401271\8aad4527-2476-45b3-ac73-ef7152b55740.jpg" /> can be obtained as</p><p><img src="3-7401271\f6b03948-6fdb-4c41-a99a-596b8bffa51c.jpg" /></p><p><img src="3-7401271\69594986-764b-468c-8c47-5a10aab850c8.jpg" /></p><p>We used MATHEMATICA to calculate the unknown coefficients <img src="3-7401271\0bbdb1b4-9565-4b01-a7e3-4d932b57eb52.jpg" /> and<img src="3-7401271\cd4802bb-cbe9-45d9-9b95-fd728cd05977.jpg" />.</p><p>Using the inverse Transform:</p><disp-formula id="scirp.28842-formula84000"><label>, (19)</label><graphic position="anchor" xlink:href="3-7401271\9d85be67-d657-47da-bd5b-a6ecc1f07d3e.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.28842-formula84001"><label>, (20)</label><graphic position="anchor" xlink:href="3-7401271\41e546c3-ef13-475d-8164-2b8a5a59016b.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.28842-formula84002"><label>. (21)</label><graphic position="anchor" xlink:href="3-7401271\26acc6de-0a7c-40fd-935d-ecd0444fc06c.jpg"  xlink:type="simple"/></disp-formula><p>This can be written as folows</p><disp-formula id="scirp.28842-formula84003"><label>(22)</label><graphic position="anchor" xlink:href="3-7401271\3c839f0a-27a8-4549-ac82-8bbd1a34177e.jpg"  xlink:type="simple"/></disp-formula><p>and</p><disp-formula id="scirp.28842-formula84004"><label>(23)</label><graphic position="anchor" xlink:href="3-7401271\12ba6fd7-10cc-4853-af87-86d2770da5b7.jpg"  xlink:type="simple"/></disp-formula><p>Thus we get the exact solution by differential transform method.</p><p>Problem 3: Consider the system of initial value problems [<xref ref-type="bibr" rid="scirp.28842-ref29">29</xref>]:</p><disp-formula id="scirp.28842-formula84005"><label>(24)</label><graphic position="anchor" xlink:href="3-7401271\e9328078-74cd-4103-9f56-6b6b8051223c.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.28842-formula84006"><label>(25)</label><graphic position="anchor" xlink:href="3-7401271\227d759a-b40f-49ac-b147-ea99b3e3e440.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.28842-formula84007"><label>(26)</label><graphic position="anchor" xlink:href="3-7401271\b52bb43d-3425-474b-adf1-12c773c778f0.jpg"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.28842-formula84008"><label>(27)</label><graphic position="anchor" xlink:href="3-7401271\1fb5cf02-785d-4270-b2ad-f0256ffb787c.jpg"  xlink:type="simple"/></disp-formula><p>with initial conditions<img src="3-7401271\b949088b-ec36-4b3f-bb6a-0becc1288b4f.jpg" />, i = 1, 2, 3, 4.</p><p>Applying Differential Transform, we have</p><p><img src="3-7401271\06d66a78-d655-467a-bdcd-f82e08a21341.jpg" />;</p><p><img src="3-7401271\646c6644-e9b8-4720-8480-0781e83a4b7b.jpg" />;</p><p><img src="3-7401271\9d055b7a-2ca3-49a7-87aa-b360121fe9de.jpg" />;</p><p><img src="3-7401271\f1ebe681-0325-4006-8230-43810fb5e42f.jpg" />.</p><p>With the transformed initial conditions are<img src="3-7401271\5311d6ac-bbe6-4fbc-a022-984d2472cdd3.jpg" />,<img src="3-7401271\21f6c350-0622-4cb1-bc3e-70a92734c5be.jpg" />.</p><p>For <img src="3-7401271\20c0dbe4-5a43-41cc-ada6-c96a3b4db0af.jpg" /> the series coefficients for<img src="3-7401271\e8253f84-e69e-436d-90e4-8ad651b2d4d7.jpg" />, <img src="3-7401271\e57ab8cc-373c-4969-9c07-3e9328fdf49e.jpg" />, <img src="3-7401271\7795f67d-d312-41ab-a4fc-b69c971ef2fc.jpg" />and <img src="3-7401271\0b2b1e2e-a8f8-4f74-bb8e-906d24bc5026.jpg" /> can be obtained as:</p><p><img src="3-7401271\50283f59-9076-496f-b9c4-5bdc8bb59cc7.jpg" /></p><p><img src="3-7401271\52adbdb8-4811-4b98-8544-13f4b5379598.jpg" /></p><p><img src="3-7401271\fc6d4c6e-1a7a-4363-a106-42d72eb80dad.jpg" /></p><p><img src="3-7401271\c0cbba31-a7be-4941-ab1b-dd5db1aae5a0.jpg" /></p><p>Using the inverse Transform:</p><disp-formula id="scirp.28842-formula84009"><label>(28)</label><graphic position="anchor" xlink:href="3-7401271\9b976f72-8253-4573-bcd6-db39f267e2c6.jpg"  xlink:type="simple"/></disp-formula><p>We obtain</p><p><img src="3-7401271\7427657f-eed7-4f91-ae00-9d5a7a3439ce.jpg" />, <img src="3-7401271\c3a0dbac-9f77-482c-8c86-344c369a9a1e.jpg" />, <img src="3-7401271\22d3cf78-f481-4599-8480-39dab47e67f6.jpg" />,<img src="3-7401271\5c9b0a3f-a863-43d4-b23f-1cb827749f32.jpg" />.</p><p>In this section, we have presented three different linear and nonlinear stiff systems via Differential Transform Method and the series solution of Equations (13) and (22) have shown in Figures 1 and 2 respectively.</p></sec><sec id="s4"><title>4. Conclusion</title><p>In this work, DTM has been applied to the exact solution of linear and non-linear stiff system. DTM is a semi numerical method and we obtained a closed form solution such as [<xref ref-type="bibr" rid="scirp.28842-ref11">11</xref>] and expressed the series form solutions in graphical form for the first two examples. It has been</p><p>observed that DTM is simpler, effective and reliable.</p></sec><sec id="s5"><title>REFERENCES</title></sec><sec id="s6"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.28842-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">G. Hojjati, M. Y. Rahimi Arabili and S. M. Hosseini, “An Adaptive Method for Numerical Solution of Stiff System of Ordinary Differential Equations,” Mathematics and Computers in Simulation, Vol. 66, No. 1, 2004, pp. 33-41.  
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