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Quest Journals
Journal of Research in Applied Mathematics
Volume 3 ~ Issue 6 (2017) pp: 40-44
ISSN(Online) : 2394-0743 ISSN (Print): 2394-0735
www.questjournals.org
*Corresponding Author: *Abada 7
40 | Page
1Department of Mathematical Sciences, Taraba State University, Jalingo. Nigeria
Research Paper
Block Hybrid Method for the Solution of General Second Order
Ordinary Differentials Equations
*
Abada, A.A, 2
Aboiyar, T
1
Department of Mathematical Sciences, Taraba State University, Jalingo. Nigeria
2
Department of Mathematics/Stat./Computer Science, Federal University of Agriculture, Makurdi.
ABSTRACT: We consider the construction of block hybrid method for the solution of general second order
ODEs. Derivation of the method was based on the use of hermite polynomial as basis function. The main method
and its additional equations are obtained from the same continuous formulation via interpolation and collocation
procedures. The method is then applied in block form as simultaneous numerical integrator, this approach
eliminates requirement for starting values, and it also reduces computational effort. The stability properties of the
method is discussed and the stability region shown. Two numerical experiments were given to illustrate the
accuracy and efficiency of the new method.
Keywords: Continuous formulation, Block hybrid method, Basis function, Ordinary Differential Equations,
Hermite Polynomial.
I. INTRODUCTION
In this paper, efforts are directed towards constructing a uniform order 3 block hybrid method for solution
of general second order ordinary differential equation of the form.
),,( yyxfy  , )0(y ,  )0(y
(1)
In the past, efforts have been made by eminent scholars to solve higher order initial value problems
especially the second order ordinary differential equation. In practice, this class of problem (1) is usually reduced to
system of first order differential equation and numerical methods for first order ODEs then employ to solve them,
these scholars [4], [11] and [3] showed that reduction of higher order equations to its first order has a serious
implication in the results; hence it is necessary to modify existing algorithms to handle directly this class of
problem (1). [13] demonstrated a successful application of LMM methods to solve directly a general second order
odes of the form (1) though with non-uniform order member block method, this idea is used and now extended to
our own uniform order block schemes to solve the type (1) directly. The following scholars also contributed
immensely to the development of block hybrid method for the solution of second order ODEs: [2], [10], [1] just to
mention a few.
We approximate the exact solution )(xy by seeking the continuous method )(xy of the form
 




 
1
0
1
0
2
)()()(
s
j
r
j
jnjjnj fxhyxxy  (2)
Where ],[ bax and the following notations are introduced. The positive integer 2k denotes the step number of
the method (2), which is applied directly to provide the solution to (1).
II. DERIVATION OF THE METHOD
We propose an approximate solution to (1) in the form:




1
0
)()(
rs
j
njj xxHaxy
(3)
where s is the number of interpolation points, r is the number of collocation points and )(xH j is the
Hermite polynomial generated by the formula:
Block Hybrid Method For The Solution of General Second Order Ordinary Differentials Equations
*Corresponding Author: *Abada 7
41 | Page

















22
22
)1(
x
n
n
x
n
n e
dx
d
eH (4)
),,()()(
1
0
yyxfxxHaxy
rs
j
njj
 


(5)
Now, interpolating (3) at nx and
2
3
n
x , while collocating (5) at nx ,
2
3
n
x and at 2nx leads to a system of equations
which can be put in matrix form.















































































2
2
3
2
3
4
3
2
1
0
2
2
2432
)1248(12200
)1227(9200
120200
3
2
27
16
81
2
9
8
27
1
4
9
2
3
1
30101
n
n
n
n
n
f
f
f
y
y
a
a
a
a
a
hh
hh
hhhhhh
(6)
Where the coefficients 4)1(0, jaj are obtained as










 n
n
nnn fff
h
fya
2
3220 43
12
1
2
1
















 



2
2
32
2
3
2
31 276039
96
7212856
96
1
3
2
3
2
n
n
nn
n
n
n
n fff
h
fff
h
y
h
y
h
a
nn
n
n ffff
h
a
2
1
34
6
1
2
2
322 







 









 

2
2
33 9167
36
1
n
n
n fff
h
a








 

2
2
324 34
36
1
n
n
n fff
h
a (7)
Putting (7) in (3) and evaluating at some points yield the following discrete schemes:










 

 2
2
3
2
2
31
96
11
24
7
96
7
3
1
3
2
n
n
nn
n
n fffhyyy








 

 2
2
3
2
2
32
48
5
36
19
144
11
3
1
3
4
n
n
nn
n
n fffhyyy








 

2
2
3
2
2
3 92013
323
2
3
2
n
n
nn
n
n fff
h
yyyh








 

 2
2
3
2
2
31
96
13
72
19
288
35
3
2
3
2
n
n
n
n
nn fffhyyyh








 

2
2
3
2
2
3
2
3 9285
323
2
3
2
n
n
nn
nn
fff
h
yyyh








 

 2
2
3
2
2
32 1533243
2883
2
3
2
n
n
nn
n
n fff
h
yyyh (8)
Block Hybrid Method For The Solution of General Second Order Ordinary Differentials Equations
*Corresponding Author: *Abada 7
42 | Page
III. ANALYSIS OF THE METHOD
3.1 Order and error constant
Following [5, 6, 7] and [11, 12], we define the local truncation error associated with the conventional
form of (2) to be the linear difference operator.
0])()()()([]);([
0
2
 
k
j
jj jhxyxhjhxyxhxyL  (9)
The Taylor’s series expansion about the point x gives
)(...)()()(]);([ 2
210 xyhcxyhcxyhcxychxyL pp
p (10)
According to [8], we say that the method (2) has order p if the difference operator L is of order p and if
,0... 1210  pp ccccc and 02 pc where 02 pc is called the error constant. We
report that the method (7) have uniform order 3p and error constants
T
pc 






2880
131
640
33
2880
91
320
21
288
7
576
13
2
3.2 Convergence
The block methods shown in (7) can be represented by a matrix finite difference equation in the form:
][ 1011
2
11   wwww fFhyY  (11)
where
T
nnnnw yyyyY ),...,,,...,( 31311 
 ,
T
nn
n
nw yyyyy ),...,,,...,( 1
2
331
 


T
nnnnw ffffF ),...,,,...,( 21121   ,
T
n
n
nnw fffff ),...,,,...,(
2
3241

 
where





















100000
010000
001000
000100
000010
000001
 ,





















100000
100000
100000
010000
010000
010000
 ,





































22
22
22
22
22
22
0
3
1
9
16
0000
16
9
2
3
0000
12
5
9
8
0000
3
2
9
16
0000
64
27
16
15
0000
6
1
3
1
0000
hh
hh
hh
hh
hh
hh
B ,
,
































h
h
h
h
h
h
B
9
5
00000
16
9
00000
36
19
00000
9
8
00000
64
39
00000
3
1
00000
2
2
2
1
It is worth noting that zero-stability is concerned with the stability of the difference system in the limit as h
tends to zero. Thus, as h → 0, the method (11) tends to the difference system.
Block Hybrid Method For The Solution of General Second Order Ordinary Differentials Equations
*Corresponding Author: *Abada 7
43 | Page
011   ww yY  (12)
Whose first characteristic polynomial )( is given by
0)det()(   I
)1()( 5
  (13)
Following [7], the block method (7) is zero-stable, since from (13), 0)(  satisfy φj ≤ 1, j = 1, … , k and
for those roots with φj = 1, the multiplicity does not exceed 2. The block method (11) is consistent as it has
order P > 1. Accordingly, from [8], we assert the convergence of the block hybrid method (7).
Figure 1: Absolute Stability Region of the Block hybrid method
IV. NUMERICAL EXAMPLE
In this section, we report two numerical examples taken from relevant literature to compare the performance of our
method. The absolute errors obtained from computed results at selected mesh points are also reported in the tables
shown.
Problem 1:
yy  ,   ,00 y   10 y , 1.0h
Analytical solution:    xxy exp1
Source: Yahaya and Badmus (2009)
Table 1: Comparism of absolute errors of the new method with other authors for problem 1
x Analytical Solution BHyMS Errors in [13] Errors in BHyMS
0.1 -0.10517091807565 -0.10517041901188 8.79316 X 10-05
4.99063768 X 10-7
0.2 -0.22140275816017 -0.22140087554722 3.26718 X 10-04
1.88261295 X 10-6
0.3 -0.34985880757600 -0.34985480195761 2.21556 X 10-03
4.00561839 X 10-6
0.4 -0.49182469764127 -0.49181732954579 4.85709 X 10-03
7.36809500 X 10-6
0.5 -0.64872127070013 -0.64870946105267 9.09773 X 10-03
1.18096475 X 10-5
0.6 -0.82211880039051 -0.82210084090240 1.43914 X 10-02
1.79594881 X 10-5
0.7 -1.01375270747048 -1.01372706531323 2.14379 X 10-02
2.56421573 X 10-5
0.8 -1.22554092849247 -1.22550527972633 2.98987 X 10-02
3.56487661 X 10-5
0.9 -1.45960311115695 -1.45955532117372 4.03007 X 10-02
4.77899832 X 10-5
1.0 -1.71828182845905 -1.71821876879647 5.25521 X 10-02
6.30596627 X 10-5
Problem 2:
010001001  yyy ,   10 y ,   10 y , 05.0h
Analytical solution:    xxy  exp
Source: Jator (2007)
-1 -0.5 0 0.5 1 1.5 2
-1.5
-1
-0.5
0
0.5
1
1.5
Re(z)
Im(z)
Block Hybrid Method For The Solution of General Second Order Ordinary Differentials Equations
*Corresponding Author: *Abada 7
44 | Page
Table 2: Comparism of absolute errors of the new method with other authors for problem 2
x Analytical Solution BHyMS Errors in [9] Errors in BHyMS
0.1 0.90483741803596 0.90483742302973 6.98677 X 10-12
1.62 X 10-12
0.2 0.81873075307798 0.81873076660624 1.00275 X 10-12
2.94 X 10-12
0.3 0.74081822068172 0.74081824239740 7.85878 X 10-12
4.00 X 10-12
0.4 0.67032004603564 0.67032007464740 1.04778 X 10-11
4.86 X 10-12
0.5 0.60653065971263 0.60653069382600 6.32212 X 10-11
5.50 X 10-12
0.6 0.54881163609403 0.54881167443656 1.00508 X 10-11
5.95 X 10-12
0.7 0.49658530379141 0.49658534525922 9.36336 X 10-12
6.31 X 10-12
0.8 0.44932896411722 0.44932900777118 2.64766 X 10-12
6.51 X 10-12
0.9 0.40656965974060 0.40656970478997 1.06793 X 10-11
6.62 X 10-12
1.0 0.36787944117144 0.36787948695556 2.32731 X 10-11
6.66 X 10-12
V. CONCLUSION
We developed a third order block hybrid block methods for the solution of general second order
Ordinary differential equations ( BhyMS). The method (7) was derived using hermite polynomial as basis
function. Graph of its absolute stability region suggest that it is stableA )( (figure 1). The method proved
to be very efficient when tested on two numerical problems and when compared with results obtained from
relevant authors (tables 1 and table 2).
ACKNOWLEDGMENT
We wish to thank Dr. AWARI, Y.S. for his useful advice and support given to us in using MATLAB and Maple
package to obtain the graph.
REFERENCES
[1]. Adeniran, A.O., Ogundare, B.S. (2015). An Efficient Hybrid Numerical Scheme for Solving General Second Order Initial Value
Problems. International Journal of Applied Mathematical Research.4(2): 411-419.
[2]. Anake, T.A., Awoyemi, D.O., Adesanya, A.A. and Famewo, M.M. (2012). Solving General Second order Differential Equations by a
One-Step Hybrid Collocation Method. International Journal of Science and Technology. 2(4):164-168
[3]. Awoyemi, D.O. (1999). A Class of Continuous Methods for General Second Order Initial Value Problems in Ordinary Differential
Equations. International Journal of Computer Mathematics.72:29-37.
[4]. Fatunla, S.O. (1988). Numerical Methods for Initial Values Problems in Ordinary Differential Equations. New York: Academic Press
[5]. Fatunla,S.O., Block methods for second order IVP’s. Inter.J.Comp.Maths.72,No.1 ,(1991).
[6]. Fatunla,S.O., Parallel methods for second order ODE’s Computational ordinary differential equations, (1992).
[7]. Fatunla,S.O., Higher order parallel methods for second order ODE’s.Scientific Computing.Proceeding of fifth International Conference
on Scientific Computing, (1994).
[8]. Henrici, P., Discrete variable methods for ODE’s.John Wiley, New York ,(1962).
[9]. Jator, S.N. (2007). A sixth order linear multistep method for the direct solution of ),,( yyxfy  . International Journal of Pure
and Applied Mathematics. 40(4): 457-472
[10]. Kayode, S.J. (2005). An Improved Numerov Method for Direct Solution of General Second Order Initial Value Problems of Ordinary
Differential Equations. In: Proceedings of the Seminar Organized by the National Mathematical Centre, Abuja, Nigeria.
[11]. Lambert, J.D, Computational methods for ordinary differential equations.(John Wiley,New York, 1973).
[12]. Lambert,J.D, Numerical methods for ordinary differential systems.John Wiley,New York ,(1991).
[13]. Yahaya, Y.A and Badmus, A.M. (2009). A Class of Collocation Methods for General Second Order Ordinary Differential Equations.
African Journal of Mathematics & Computer Science Research.2 (04): 069-072.
*Abada, A.A. "Block Hybrid Method for the Solution of General Second Order Ordinary
Differentials Equations." Quest Journals Journal of Research in Applied Mathematics 3.6 (2017):
40-44.

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Block Hybrid Method for the Solution of General Second Order Ordinary Differentials Equations

  • 1. Quest Journals Journal of Research in Applied Mathematics Volume 3 ~ Issue 6 (2017) pp: 40-44 ISSN(Online) : 2394-0743 ISSN (Print): 2394-0735 www.questjournals.org *Corresponding Author: *Abada 7 40 | Page 1Department of Mathematical Sciences, Taraba State University, Jalingo. Nigeria Research Paper Block Hybrid Method for the Solution of General Second Order Ordinary Differentials Equations * Abada, A.A, 2 Aboiyar, T 1 Department of Mathematical Sciences, Taraba State University, Jalingo. Nigeria 2 Department of Mathematics/Stat./Computer Science, Federal University of Agriculture, Makurdi. ABSTRACT: We consider the construction of block hybrid method for the solution of general second order ODEs. Derivation of the method was based on the use of hermite polynomial as basis function. The main method and its additional equations are obtained from the same continuous formulation via interpolation and collocation procedures. The method is then applied in block form as simultaneous numerical integrator, this approach eliminates requirement for starting values, and it also reduces computational effort. The stability properties of the method is discussed and the stability region shown. Two numerical experiments were given to illustrate the accuracy and efficiency of the new method. Keywords: Continuous formulation, Block hybrid method, Basis function, Ordinary Differential Equations, Hermite Polynomial. I. INTRODUCTION In this paper, efforts are directed towards constructing a uniform order 3 block hybrid method for solution of general second order ordinary differential equation of the form. ),,( yyxfy  , )0(y ,  )0(y (1) In the past, efforts have been made by eminent scholars to solve higher order initial value problems especially the second order ordinary differential equation. In practice, this class of problem (1) is usually reduced to system of first order differential equation and numerical methods for first order ODEs then employ to solve them, these scholars [4], [11] and [3] showed that reduction of higher order equations to its first order has a serious implication in the results; hence it is necessary to modify existing algorithms to handle directly this class of problem (1). [13] demonstrated a successful application of LMM methods to solve directly a general second order odes of the form (1) though with non-uniform order member block method, this idea is used and now extended to our own uniform order block schemes to solve the type (1) directly. The following scholars also contributed immensely to the development of block hybrid method for the solution of second order ODEs: [2], [10], [1] just to mention a few. We approximate the exact solution )(xy by seeking the continuous method )(xy of the form         1 0 1 0 2 )()()( s j r j jnjjnj fxhyxxy  (2) Where ],[ bax and the following notations are introduced. The positive integer 2k denotes the step number of the method (2), which is applied directly to provide the solution to (1). II. DERIVATION OF THE METHOD We propose an approximate solution to (1) in the form:     1 0 )()( rs j njj xxHaxy (3) where s is the number of interpolation points, r is the number of collocation points and )(xH j is the Hermite polynomial generated by the formula:
  • 2. Block Hybrid Method For The Solution of General Second Order Ordinary Differentials Equations *Corresponding Author: *Abada 7 41 | Page                  22 22 )1( x n n x n n e dx d eH (4) ),,()()( 1 0 yyxfxxHaxy rs j njj     (5) Now, interpolating (3) at nx and 2 3 n x , while collocating (5) at nx , 2 3 n x and at 2nx leads to a system of equations which can be put in matrix form.                                                                                2 2 3 2 3 4 3 2 1 0 2 2 2432 )1248(12200 )1227(9200 120200 3 2 27 16 81 2 9 8 27 1 4 9 2 3 1 30101 n n n n n f f f y y a a a a a hh hh hhhhhh (6) Where the coefficients 4)1(0, jaj are obtained as            n n nnn fff h fya 2 3220 43 12 1 2 1                      2 2 32 2 3 2 31 276039 96 7212856 96 1 3 2 3 2 n n nn n n n n fff h fff h y h y h a nn n n ffff h a 2 1 34 6 1 2 2 322                       2 2 33 9167 36 1 n n n fff h a            2 2 324 34 36 1 n n n fff h a (7) Putting (7) in (3) and evaluating at some points yield the following discrete schemes:               2 2 3 2 2 31 96 11 24 7 96 7 3 1 3 2 n n nn n n fffhyyy             2 2 3 2 2 32 48 5 36 19 144 11 3 1 3 4 n n nn n n fffhyyy            2 2 3 2 2 3 92013 323 2 3 2 n n nn n n fff h yyyh             2 2 3 2 2 31 96 13 72 19 288 35 3 2 3 2 n n n n nn fffhyyyh            2 2 3 2 2 3 2 3 9285 323 2 3 2 n n nn nn fff h yyyh             2 2 3 2 2 32 1533243 2883 2 3 2 n n nn n n fff h yyyh (8)
  • 3. Block Hybrid Method For The Solution of General Second Order Ordinary Differentials Equations *Corresponding Author: *Abada 7 42 | Page III. ANALYSIS OF THE METHOD 3.1 Order and error constant Following [5, 6, 7] and [11, 12], we define the local truncation error associated with the conventional form of (2) to be the linear difference operator. 0])()()()([]);([ 0 2   k j jj jhxyxhjhxyxhxyL  (9) The Taylor’s series expansion about the point x gives )(...)()()(]);([ 2 210 xyhcxyhcxyhcxychxyL pp p (10) According to [8], we say that the method (2) has order p if the difference operator L is of order p and if ,0... 1210  pp ccccc and 02 pc where 02 pc is called the error constant. We report that the method (7) have uniform order 3p and error constants T pc        2880 131 640 33 2880 91 320 21 288 7 576 13 2 3.2 Convergence The block methods shown in (7) can be represented by a matrix finite difference equation in the form: ][ 1011 2 11   wwww fFhyY  (11) where T nnnnw yyyyY ),...,,,...,( 31311   , T nn n nw yyyyy ),...,,,...,( 1 2 331     T nnnnw ffffF ),...,,,...,( 21121   , T n n nnw fffff ),...,,,...,( 2 3241    where                      100000 010000 001000 000100 000010 000001  ,                      100000 100000 100000 010000 010000 010000  ,                                      22 22 22 22 22 22 0 3 1 9 16 0000 16 9 2 3 0000 12 5 9 8 0000 3 2 9 16 0000 64 27 16 15 0000 6 1 3 1 0000 hh hh hh hh hh hh B , ,                                 h h h h h h B 9 5 00000 16 9 00000 36 19 00000 9 8 00000 64 39 00000 3 1 00000 2 2 2 1 It is worth noting that zero-stability is concerned with the stability of the difference system in the limit as h tends to zero. Thus, as h → 0, the method (11) tends to the difference system.
  • 4. Block Hybrid Method For The Solution of General Second Order Ordinary Differentials Equations *Corresponding Author: *Abada 7 43 | Page 011   ww yY  (12) Whose first characteristic polynomial )( is given by 0)det()(   I )1()( 5   (13) Following [7], the block method (7) is zero-stable, since from (13), 0)(  satisfy φj ≤ 1, j = 1, … , k and for those roots with φj = 1, the multiplicity does not exceed 2. The block method (11) is consistent as it has order P > 1. Accordingly, from [8], we assert the convergence of the block hybrid method (7). Figure 1: Absolute Stability Region of the Block hybrid method IV. NUMERICAL EXAMPLE In this section, we report two numerical examples taken from relevant literature to compare the performance of our method. The absolute errors obtained from computed results at selected mesh points are also reported in the tables shown. Problem 1: yy  ,   ,00 y   10 y , 1.0h Analytical solution:    xxy exp1 Source: Yahaya and Badmus (2009) Table 1: Comparism of absolute errors of the new method with other authors for problem 1 x Analytical Solution BHyMS Errors in [13] Errors in BHyMS 0.1 -0.10517091807565 -0.10517041901188 8.79316 X 10-05 4.99063768 X 10-7 0.2 -0.22140275816017 -0.22140087554722 3.26718 X 10-04 1.88261295 X 10-6 0.3 -0.34985880757600 -0.34985480195761 2.21556 X 10-03 4.00561839 X 10-6 0.4 -0.49182469764127 -0.49181732954579 4.85709 X 10-03 7.36809500 X 10-6 0.5 -0.64872127070013 -0.64870946105267 9.09773 X 10-03 1.18096475 X 10-5 0.6 -0.82211880039051 -0.82210084090240 1.43914 X 10-02 1.79594881 X 10-5 0.7 -1.01375270747048 -1.01372706531323 2.14379 X 10-02 2.56421573 X 10-5 0.8 -1.22554092849247 -1.22550527972633 2.98987 X 10-02 3.56487661 X 10-5 0.9 -1.45960311115695 -1.45955532117372 4.03007 X 10-02 4.77899832 X 10-5 1.0 -1.71828182845905 -1.71821876879647 5.25521 X 10-02 6.30596627 X 10-5 Problem 2: 010001001  yyy ,   10 y ,   10 y , 05.0h Analytical solution:    xxy  exp Source: Jator (2007) -1 -0.5 0 0.5 1 1.5 2 -1.5 -1 -0.5 0 0.5 1 1.5 Re(z) Im(z)
  • 5. Block Hybrid Method For The Solution of General Second Order Ordinary Differentials Equations *Corresponding Author: *Abada 7 44 | Page Table 2: Comparism of absolute errors of the new method with other authors for problem 2 x Analytical Solution BHyMS Errors in [9] Errors in BHyMS 0.1 0.90483741803596 0.90483742302973 6.98677 X 10-12 1.62 X 10-12 0.2 0.81873075307798 0.81873076660624 1.00275 X 10-12 2.94 X 10-12 0.3 0.74081822068172 0.74081824239740 7.85878 X 10-12 4.00 X 10-12 0.4 0.67032004603564 0.67032007464740 1.04778 X 10-11 4.86 X 10-12 0.5 0.60653065971263 0.60653069382600 6.32212 X 10-11 5.50 X 10-12 0.6 0.54881163609403 0.54881167443656 1.00508 X 10-11 5.95 X 10-12 0.7 0.49658530379141 0.49658534525922 9.36336 X 10-12 6.31 X 10-12 0.8 0.44932896411722 0.44932900777118 2.64766 X 10-12 6.51 X 10-12 0.9 0.40656965974060 0.40656970478997 1.06793 X 10-11 6.62 X 10-12 1.0 0.36787944117144 0.36787948695556 2.32731 X 10-11 6.66 X 10-12 V. CONCLUSION We developed a third order block hybrid block methods for the solution of general second order Ordinary differential equations ( BhyMS). The method (7) was derived using hermite polynomial as basis function. Graph of its absolute stability region suggest that it is stableA )( (figure 1). The method proved to be very efficient when tested on two numerical problems and when compared with results obtained from relevant authors (tables 1 and table 2). ACKNOWLEDGMENT We wish to thank Dr. AWARI, Y.S. for his useful advice and support given to us in using MATLAB and Maple package to obtain the graph. REFERENCES [1]. Adeniran, A.O., Ogundare, B.S. (2015). An Efficient Hybrid Numerical Scheme for Solving General Second Order Initial Value Problems. International Journal of Applied Mathematical Research.4(2): 411-419. [2]. Anake, T.A., Awoyemi, D.O., Adesanya, A.A. and Famewo, M.M. (2012). Solving General Second order Differential Equations by a One-Step Hybrid Collocation Method. International Journal of Science and Technology. 2(4):164-168 [3]. Awoyemi, D.O. (1999). A Class of Continuous Methods for General Second Order Initial Value Problems in Ordinary Differential Equations. International Journal of Computer Mathematics.72:29-37. [4]. Fatunla, S.O. (1988). Numerical Methods for Initial Values Problems in Ordinary Differential Equations. New York: Academic Press [5]. Fatunla,S.O., Block methods for second order IVP’s. Inter.J.Comp.Maths.72,No.1 ,(1991). [6]. Fatunla,S.O., Parallel methods for second order ODE’s Computational ordinary differential equations, (1992). [7]. Fatunla,S.O., Higher order parallel methods for second order ODE’s.Scientific Computing.Proceeding of fifth International Conference on Scientific Computing, (1994). [8]. Henrici, P., Discrete variable methods for ODE’s.John Wiley, New York ,(1962). [9]. Jator, S.N. (2007). A sixth order linear multistep method for the direct solution of ),,( yyxfy  . International Journal of Pure and Applied Mathematics. 40(4): 457-472 [10]. Kayode, S.J. (2005). An Improved Numerov Method for Direct Solution of General Second Order Initial Value Problems of Ordinary Differential Equations. In: Proceedings of the Seminar Organized by the National Mathematical Centre, Abuja, Nigeria. [11]. Lambert, J.D, Computational methods for ordinary differential equations.(John Wiley,New York, 1973). [12]. Lambert,J.D, Numerical methods for ordinary differential systems.John Wiley,New York ,(1991). [13]. Yahaya, Y.A and Badmus, A.M. (2009). A Class of Collocation Methods for General Second Order Ordinary Differential Equations. African Journal of Mathematics & Computer Science Research.2 (04): 069-072. *Abada, A.A. "Block Hybrid Method for the Solution of General Second Order Ordinary Differentials Equations." Quest Journals Journal of Research in Applied Mathematics 3.6 (2017): 40-44.