On the convergence of the extended conjugate gradient method for discrete optimal control problems (DOCP)

Apanapudor, J. S.; Otunta, F. O.

doi:10.4314/jonamp.v9i1.40086

Cited by 2 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1, we observed that the four (4) interacting data are bounded sequences in which the first column data converges to a finite limit value of 0.7899,; the second column data converges to a finite limit value of 0.9601, the third to 1.3503 and the fourth 1.1836. The corresponding ODE 45 computed data precision indices of the four(4) interacting data set are (1) 0.0346, (ii) 0.1339 (iii) 0.1685 (iv)0.3852 with the smallest value as 0.0346 aligning with the first column [47,48].…”

Section: Numerical Resultsmentioning

confidence: 99%

“…From the hypothetical data, the limiting value of the D2 is 4.48 whereas the limiting value of the D2 data is 5.48. Apanapudor and Otunta [41].…”

Section: Properties Of Data Setmentioning

confidence: 99%

“…Following Apanapudor [41] Apanapudor and Aderibigbe (2018), Jain and Ahuja (2013), if a sequence an of a real number converges to a finite limit L, that is an→L1 then the sequence is said to be bounded. In other words, a sequence is bounded if it is bounded above and below, that is, if there is a number K, less than or equal to all the terms of the sequence and another number K greater than or equal to all the terms of the sequence…”

Section: Bounded Sequencesmentioning

confidence: 99%

See 2 more Smart Citations

Modeling the Effect of Random Environmental Perturbation on Data Precision in Niger Delta Crude Oil Production

Sarduana,

Ozioma,

Newton

2024

Asian J. Prob. Stat.

View full text Add to dashboard Cite

Decision-makers most times rely on data precision to support their decision-making processes. There is also a strong belief, however, that data quality or data precision problems are widespread in practice and that reliance on poor data quality or wrong data sets can lead to devastating consequences on crude oil production and financing. This study applies the Runge-Kutta numerical method of order 45 (ordinary differential equation of order 45) to examine the effect of data precision index on the Niger Delta crude oil production due to the variation of the initial condition. The study has found out that the initial condition four (4), (IC 4) with a data precision index value of 0.0118 ranked best in the first crude oil well, the initial condition (IC) 15 with a data precision index value of 0.0021 ranked best in the second crude oil well, the initial condition (IC) 17 with a data precision index value of 0.0021 ranked best in the third crude oil well and the initial condition (IC) 20 with a data precision index value of 0.0234 ranked best in the fourth crude oil well. The study has observed that each crude oil data is associated with a best-fit-value of the data precision index.

show abstract

Section: Numerical Resultsmentioning

confidence: 99%

“…From the hypothetical data, the limiting value of the D2 is 4.48 whereas the limiting value of the D2 data is 5.48. Apanapudor and Otunta [41].…”

Section: Properties Of Data Setmentioning

confidence: 99%

Section: Bounded Sequencesmentioning

confidence: 99%

See 1 more Smart Citation

Modeling the Effect of Random Environmental Perturbation on Data Precision in Niger Delta Crude Oil Production

Sarduana,

Ozioma,

Newton

2024

Asian J. Prob. Stat.

View full text Add to dashboard Cite

show abstract

“…The convergence behavior of an algorithm is one of the interesting properties that determines its application in solving problems [25]. Hence, we examine the convergence behavior of the IMNW Galerkin finite element method with the theorem below.…”

Section: Convergence Of the Proposed Methodsmentioning

confidence: 99%

An Overview of Iweobodo-Mamadu-Njoseh Wavelet (IMNW) and Its Steps in Solving Time Fractional Advection-Diffusion Problems

D. C,

I. N,

J. S.

2024

ARJOM

View full text Add to dashboard Cite

This paper revisited the newly constructed wavelet-based Galerkin finite element technique by Iweobodo et al (2023) and reiterated the steps in seeking approximate solutions to time-fractional advection -diffusion problems with the method. Orthogonal polynomials, Mamadu-Njoseh polynomials and finite element method were discussed in relation to Iweobodo-Mamadu-Njoseh wavelet (IMNW) and the step-by-step application of the wavelet-based Galerkin finite element technique using the (IMNW) as a basis function was iterated. It was easy to achieve a system of linear equations which is solved for the unknown parameters. Also, a convergence investigation of the IMNW wavelet-based Galerkin finite element technique was undertaken, and the resulting evidence exhibited uniformity in convergence.

show abstract

On the convergence of the extended conjugate gradient method for discrete optimal control problems (DOCP)

Cited by 2 publications

References 0 publications

Modeling the Effect of Random Environmental Perturbation on Data Precision in Niger Delta Crude Oil Production

Modeling the Effect of Random Environmental Perturbation on Data Precision in Niger Delta Crude Oil Production

An Overview of Iweobodo-Mamadu-Njoseh Wavelet (IMNW) and Its Steps in Solving Time Fractional Advection-Diffusion Problems

Contact Info

Product

Resources

About