Modern Optimization Methods for Decision Making Under Risk and Uncertainty is popular PDF and ePub book, written by Alexei A. Gaivoronski in 2023-10-06, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Modern Optimization Methods for Decision Making Under Risk and Uncertainty can be Read Online from any device for your convenience.
Modern Optimization Methods for Decision Making Under Risk and Uncertainty Book PDF Summary
The book comprises original articles on topical issues of risk theory, rational decision making, statistical decisions, and control of stochastic systems. The articles are the outcome of a series international projects involving the leading scholars in the field of modern stochastic optimization and decision making. The structure of stochastic optimization solvers is described. The solvers in general implement stochastic quasi-gradient methods for optimization and identification of complex nonlinear models. These models constitute an important methodology for finding optimal decisions under risk and uncertainty. While a large part of current approaches towards optimization under uncertainty stems from linear programming (LP) and often results in large LPs of special structure, stochastic quasi-gradient methods confront nonlinearities directly without need of linearization. This makes them an appropriate tool for solving complex nonlinear problems, concurrent optimization and simulation models, and equilibrium situations of different types, for instance, Nash or Stackelberg equilibrium situations. The solver finds the equilibrium solution when the optimization model describes the system with several actors. The solver is parallelizable, performing several simulation threads in parallel. It is capable of solving stochastic optimization problems, finding stochastic Nash equilibria, and of composite stochastic bilevel problems where each level may require the solution of stochastic optimization problem or finding Nash equilibrium. Several complex examples with applications to water resources management, energy markets, pricing of services on social networks are provided. In the case of power system, regulator makes decision on the final expansion plan, considering the strategic behavior of regulated companies and coordinating the interests of different economic entities. Such a plan can be an equilibrium − a planned decision where a company cannot increase its expected gain unilaterally.
Detail Book of Modern Optimization Methods for Decision Making Under Risk and Uncertainty PDF
- Author : Alexei A. Gaivoronski
- Release : 06 October 2023
- Publisher : CRC Press
- ISBN : 9781000983920
- Genre : Computers
- Total Page : 388 pages
- Language : English
- PDF File Size : 11,5 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Modern Optimization Methods for Decision Making Under Risk and Uncertainty by Alexei A. Gaivoronski, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.