Subgradient Optimization Methods in Integer Programming: Analysis, Methods and Application to a Radiation Therapy Problem

 
9783639201178: Subgradient Optimization Methods in Integer Programming: Analysis, Methods and Application to a Radiation Therapy Problem
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The monograph deals with analysis and methods of subgradient optimization in integer programming. In it, various versions of subgradient procedures are described and their drawback, vis--vis, the zigzagging trend that may slow their convergence is analyzed. To overcome the drawback, a new zigzag free subgradient procedure is designed and presented. Procedures that can be used to construct both primal and dual solutions within the subgradient schemes are also illustrated. Finally, the methods are applied to a problem of optimal radiation therapy planning. In particular, the problem of minimizing total delivery time of a given radiation dose to a cancer patient is discussed. In fact, as the problem is NP-hard, there exists thus far no exact method to solve it to optimality. Dealing with this important problem further, the work presents a new and efficient algorithm that can find a very good approximate solution by combining exact and heuristic procedures. The methods and analysis are well explained and should be useful to professionals, researchers and graduate students in diverse areas such as Optimization, Computational mathematics, Radiation oncology, and Engineering.

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Dr. Berhanu Guta studied Industrial Mathematics and Optimization at University of Kaiserslautern, Germany, and worked for a year in optimization working group at Graz University of Technology, Austria, with a post doctoral position. Currently, he is the chairperson of Department of Mathematics, Addis Ababa University, Ethiopia.

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Book Description Condition: New. Publisher/Verlag: VDM Verlag Dr. Müller | Analysis, Methods and Application to a Radiation Therapy Problem | The monograph deals with analysis and methods of subgradient optimization in integer programming. In it, various versions of subgradient procedures are described and their drawback, vis-à-vis, the zigzagging trend that may slow their convergence is analyzed. To overcome the drawback, a new zigzag free subgradient procedure is designed and presented. Procedures that can be used to construct both primal and dual solutions within the subgradient schemes are also illustrated. Finally, the methods are applied to a problem of optimal radiation therapy planning. In particular, the problem of minimizing total delivery time of a given radiation dose to a cancer patient is discussed. In fact, as the problem is NP-hard, there exists thus far no exact method to solve it to optimality. Dealing with this important problem further, the work presents a new and efficient algorithm that can find a very good approximate solution by combining exact and heuristic procedures. The methods and analysis are well explained and should be useful to professionals, researchers and graduate students in diverse areas such as Optimization, Computational mathematics, Radiation oncology, and Engineering. | Format: Paperback | Language/Sprache: english | 196 pp. Seller Inventory # K9783639201178

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Berhanu Guta
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Book Description VDM Verlag Sep 2009, 2009. Taschenbuch. Condition: Neu. Neuware - The monograph deals with analysis and methods of subgradient optimization in integer programming. In it, various versions of subgradient procedures are described and their drawback, vis-à-vis, the zigzagging trend that may slow their convergence is analyzed. To overcome the drawback, a new zigzag free subgradient procedure is designed and presented. Procedures that can be used to construct both primal and dual solutions within the subgradient schemes are also illustrated. Finally, the methods are applied to a problem of optimal radiation therapy planning. In particular, the problem of minimizing total delivery time of a given radiation dose to a cancer patient is discussed. In fact, as the problem is NP-hard, there exists thus far no exact method to solve it to optimality. Dealing with this important problem further, the work presents a new and efficient algorithm that can find a very good approximate solution by combining exact and heuristic procedures. The methods and analysis are well explained and should be useful to professionals, researchers and graduate students in diverse areas such as Optimization, Computational mathematics, Radiation oncology, and Engineering. 196 pp. Englisch. Seller Inventory # 9783639201178

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Berhanu Guta
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Book Description VDM Verlag Sep 2009, 2009. Taschenbuch. Condition: Neu. Neuware - The monograph deals with analysis and methods of subgradient optimization in integer programming. In it, various versions of subgradient procedures are described and their drawback, vis-à-vis, the zigzagging trend that may slow their convergence is analyzed. To overcome the drawback, a new zigzag free subgradient procedure is designed and presented. Procedures that can be used to construct both primal and dual solutions within the subgradient schemes are also illustrated. Finally, the methods are applied to a problem of optimal radiation therapy planning. In particular, the problem of minimizing total delivery time of a given radiation dose to a cancer patient is discussed. In fact, as the problem is NP-hard, there exists thus far no exact method to solve it to optimality. Dealing with this important problem further, the work presents a new and efficient algorithm that can find a very good approximate solution by combining exact and heuristic procedures. The methods and analysis are well explained and should be useful to professionals, researchers and graduate students in diverse areas such as Optimization, Computational mathematics, Radiation oncology, and Engineering. 196 pp. Englisch. Seller Inventory # 9783639201178

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Book Description VDM Verlag, 2009. Condition: New. book. Seller Inventory # M3639201175

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