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ON EXACT OPTIMAL SOLUTION TO GEOMETRIC PROGRAMMING PROBLEMS.

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Title: ON EXACT OPTIMAL SOLUTION TO GEOMETRIC PROGRAMMING PROBLEMS.
Authors: Amuji, Harrison O.1 harrison.amuji@futo.edu.ng, Ugwuowo, Fidelis I.2 nwanyi_buife@yahoo.com, Nwachi, Christy C.3 fidelis.ugwuowo@unn.edu.ng, Okechukwu, Bridget N.1 christynwachi@gmail.com, Okeoma, Immaculata O.3 ogechigius@gmail.com
Source: Advances & Applications in Discrete Mathematics. Jul2024, Vol. 41 Issue 5, p429-439. 11p.
Subjects: Geometric programming, Mathematical programming, Applied mathematics, Urban planning, Regional planning
Abstract: In this paper, we have developed a method from which we can determine the exact optimal solution to geometric programming problems (GPPs). The method is based on the determination of exact rows of the optimal matrix in a GPP. The optimal matrix is the final matrix used to determine the optimal primal decision variables that satisfy the optimal objective function. This matrix is very important as it eliminates the rule of thumb and enables the accuracy of the solution to GPPs. [ABSTRACT FROM AUTHOR]
Copyright of Advances & Applications in Discrete Mathematics is the property of Pushpa Publishing House and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: ON EXACT OPTIMAL SOLUTION TO GEOMETRIC PROGRAMMING PROBLEMS.
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  Data: <searchLink fieldCode="AR" term="%22Amuji%2C+Harrison+O%2E%22">Amuji, Harrison O.</searchLink><relatesTo>1</relatesTo><i> harrison.amuji@futo.edu.ng</i><br /><searchLink fieldCode="AR" term="%22Ugwuowo%2C+Fidelis+I%2E%22">Ugwuowo, Fidelis I.</searchLink><relatesTo>2</relatesTo><i> nwanyi_buife@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Nwachi%2C+Christy+C%2E%22">Nwachi, Christy C.</searchLink><relatesTo>3</relatesTo><i> fidelis.ugwuowo@unn.edu.ng</i><br /><searchLink fieldCode="AR" term="%22Okechukwu%2C+Bridget+N%2E%22">Okechukwu, Bridget N.</searchLink><relatesTo>1</relatesTo><i> christynwachi@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Okeoma%2C+Immaculata+O%2E%22">Okeoma, Immaculata O.</searchLink><relatesTo>3</relatesTo><i> ogechigius@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Advances+%26+Applications+in+Discrete+Mathematics%22">Advances & Applications in Discrete Mathematics</searchLink>. Jul2024, Vol. 41 Issue 5, p429-439. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Geometric+programming%22">Geometric programming</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+programming%22">Mathematical programming</searchLink><br /><searchLink fieldCode="DE" term="%22Applied+mathematics%22">Applied mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Urban+planning%22">Urban planning</searchLink><br /><searchLink fieldCode="DE" term="%22Regional+planning%22">Regional planning</searchLink>
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  Data: In this paper, we have developed a method from which we can determine the exact optimal solution to geometric programming problems (GPPs). The method is based on the determination of exact rows of the optimal matrix in a GPP. The optimal matrix is the final matrix used to determine the optimal primal decision variables that satisfy the optimal objective function. This matrix is very important as it eliminates the rule of thumb and enables the accuracy of the solution to GPPs. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Advances & Applications in Discrete Mathematics is the property of Pushpa Publishing House and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.17654/0974165824029
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      – Code: eng
        Text: English
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        PageCount: 11
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      – SubjectFull: Mathematical programming
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      – SubjectFull: Applied mathematics
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      – SubjectFull: Urban planning
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              Text: Jul2024
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              Y: 2024
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