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Multi-Composed Programming with Applications to Facility Location
Multi-Composed Programming with Applications to Facility Location
115,37
128,19 €
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Oleg Wilfer presents a new conjugate duality concept for geometric and cone constrained optimization problems whose objective functions are a composition of finitely many functions. As an application, the author derives results for single minmax location problems formulated by means of extended perturbed minimal time functions as well as for multi-facility minmax location problems defined by gauges. In addition, he provides formulae of projections onto the epigraphs of gauges to solve these kin…
128.19
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  • ISBN-10: 3658305797
  • ISBN-13: 9783658305796
  • Format: 14.8 x 21 x 1.2 cm, minkšti viršeliai
  • Language: English
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Multi-Composed Programming with Applications to Facility Location (e-book) (used book) | bookbook.eu

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Oleg Wilfer presents a new conjugate duality concept for geometric and cone constrained optimization problems whose objective functions are a composition of finitely many functions. As an application, the author derives results for single minmax location problems formulated by means of extended perturbed minimal time functions as well as for multi-facility minmax location problems defined by gauges. In addition, he provides formulae of projections onto the epigraphs of gauges to solve these kinds of location problems numerically by using parallel splitting algorithms. Numerical comparisons of recent methods show the excellent performance of the proposed solving technique.

About the Author:

Dr. Oleg Wilfer received his PhD at the Faculty of Mathematics of Chemnitz University of Technology, Germany. He is currently working as a development engineer in the automotive industry.

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  • Author: Oleg Wilfer
  • Publisher:
  • ISBN-10: 3658305797
  • ISBN-13: 9783658305796
  • Format: 14.8 x 21 x 1.2 cm, minkšti viršeliai
  • Language: English English

Oleg Wilfer presents a new conjugate duality concept for geometric and cone constrained optimization problems whose objective functions are a composition of finitely many functions. As an application, the author derives results for single minmax location problems formulated by means of extended perturbed minimal time functions as well as for multi-facility minmax location problems defined by gauges. In addition, he provides formulae of projections onto the epigraphs of gauges to solve these kinds of location problems numerically by using parallel splitting algorithms. Numerical comparisons of recent methods show the excellent performance of the proposed solving technique.

About the Author:

Dr. Oleg Wilfer received his PhD at the Faculty of Mathematics of Chemnitz University of Technology, Germany. He is currently working as a development engineer in the automotive industry.

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