BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems

BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems

This book presents the details of the BONUS algorithm and its real world applications in areas like sensor placement in large scale drinking water networks, sensor placement in advanced power systems, water management in power systems, and capacity expansion of energy systems. A generalized method f...

Full description

Bibliographic Details
Main Authors: Diwekar, Urmila (Author), David, Amy (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2015.
Series:SpringerBriefs in Optimization,
Subjects:
Mathematics.
Dynamics.
Ergodic theory.
System theory.
Algorithms.
Operations research.
Management science.
Operations Research, Management Science.
Systems Theory, Control.
Dynamical Systems and Ergodic Theory.
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 1. Introduction
  • 2. Uncertainty Analysis and Sampling Techniques
  • 3. Probability Density Functions and Kernel Density Estimation
  • 4. The BONUS Algorithm
  • 5. Water Management under Weather Uncertainty
  • 6. Real Time Optimization for Water Management
  • 7. Sensor Placement under Uncertainty for Power Plants
  • 8. The L-Shaped BONUS Algorithm
  • 9. The Environmental Trading Problem
  • 10. Water Security Networks
  • References
  • Index.

Similar Items