Cantitate/Preț
Produs
Total produse
Vezi coșul
An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management de Emilia Graß

An Accelerated Solution Method for Two-Stage Stochastic Models in Disaster Management: Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics

Autor Emilia Graß
en Limba Engleză Paperback – 13 noi 2018
Emilia Graß develops a solution method which can provide fast and near-optimal solutions to realistic large-scale two-stage stochastic problems in disaster management. The author proposes a specialized interior-point method to accelerate the standard L-shaped algorithm. She shows that the newly developed solution method solves two realistic large-scale case studies for the hurricane prone Gulf and Atlantic coast faster than the standard L-shaped method and a commercial solver. The accelerated solution method enables relief organizations to employ appropriate preparation measures even in the case of short-term disaster warnings.
About the Author
Emilia Graß holds a PhD from the Hamburg University of Technology, Germany. She is currently working as guest researcher on the project cyber security in healthcare at the Centre for Health Policy, Imperial College London, UK. Her scientific focus is on stochastic programming, solution methods, disaster management and healthcare.


Citește tot Restrânge

Din seria Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics

  • Replizierende Portfolios in der Lebensversicherung: Mathematische Fundierung und Analyse
    Preț: 33681 lei
  • 15% High-Frequency Statistics with Asynchronous and Irregular Data
    Preț: 46121 lei
  • Multi-Composed Programming with Applications to Facility Location
    Preț: 37489 lei
  • Cost Sharing, Capacity Investment and Pricing in Networks
    Preț: 37543 lei
  • Modelling German Covered Bonds
    Preț: 44218 lei

Preț: 37206 lei

Nou

Puncte Express: 558
Preț estimativ în valută:
7120€ • 7490$ • 5941£

Carte tipărită la comandă

Livrare economică 10-24 ianuarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783658240806
ISBN-10: 3658240806
Pagini: 151
Ilustrații: XVII, 155 p. 36 illus., 10 illus. in color.
Dimensiuni: 148 x 210 mm
Greutate: 0.22 kg
Ediția:1st ed. 2018
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Spektrum
Seria Mathematische Optimierung und Wirtschaftsmathematik | Mathematical Optimization and Economathematics

Locul publicării:Wiesbaden, Germany

Cuprins

Quantitative Optimization Models in Disaster Management: A Literature Review.- Solution Methods in Disaster Management: A Literature Review.- The Accelerated L-Shaped Method.- Case Study Design.- Numerical Experiments and Analysis.

Notă biografică

Emilia Graß holds a PhD from the Hamburg University of Technology, Germany. She is currently working as guest researcher on the project cyber security in healthcare at the Centre for Health Policy, Imperial College London, UK. Her scientific focus is on stochastic programming, solution methods, disaster management and healthcare.

Textul de pe ultima copertă

Emilia Graß develops a solution method which can provide fast and near-optimal solutions to realistic large-scale two-stage stochastic problems in disaster management. The author proposes a specialized interior-point method to accelerate the standard L-shaped algorithm. She shows that the newly developed solution method solves two realistic large-scale case studies for the hurricane prone Gulf and Atlantic coast faster than the standard L-shaped method and a commercial solver. The accelerated solution method enables relief organizations to employ appropriate preparation measures even in the case of short-term disaster warnings.

Contents
  • Quantitative Optimization Models in Disaster Management: A Literature Review
  • Solution Methods in Disaster Management: A Literature Review
  • The Accelerated L-Shaped Method
  • Case Study Design
  • Numerical Experiments and Analysis
TargetGroups
  • Scientist and students in the fields of operations research, optimization and numerical algorithms
  • Practitioners working in charities and NGOs
About the Author
Emilia Graß holds a PhD from the Hamburg University of Technology, Germany. She is currently working as guest researcher on the project cyber security in healthcare at the Centre for Health Policy, Imperial College London, UK. Her scientific focus is on stochastic programming, solution methods, disaster management and healthcare.

Caracteristici

Preperation measures also for short-term disaster warnings