Kontakt
Kako kupovati
Dostava
Savjetnik za kupnju
Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming
Engleski
125 b
30 dana za povrat kupljenih proizvoda
Kupci su kupili i
Stochastic programming provides a framework for modelling, analyzing, and solving optimization problems with some parameters being not known up to a probability distribution. Such problems arise in a variety of applications, such as inventory control, financial planning and portfolio optimization, airline revenue management, scheduling and operation of power systems, and supply chain management. §§Christian Küchler studies various aspects of the stability of stochastic optimization problems as well as approximation and decomposition methods in stochastic programming. One of these aspects is the problem of the quantitative stability of linear multistage stochastic programs under perturbations or approximations of the underlying stochastic processes. The author further presents an extension of the Nested Benders decomposition algorithm related to the concept of recombining scenario trees. The approach combines the concept of cut sharing with a specific aggregation procedure and prevents an exponentially growing number of subproblem evaluations. Convergence results and numerical properties are discussed.
Informacije o knjizi
Engleski
Kategorija
Poklonite ovu knjigu još danas
To je jednostavno
1 Dodajte knjigu u košaricu i odaberite isporuku kao poklon 2 Zauzvrat ćemo vam poslati kupon 3 Knjiga dolazi na adresu poklonoprimcaMoglo bi vas zanimati i
/
Meki uvez
26.90
€
Dobar dan! Ja sam Libroamiko, vaš književni savjetnik.
Kako vam mogu pomoći?