SQG
This paper describes an implementation of a complementary set of methods called stochastic quasi-gradient methods (SQG). These methods are specifically designed having in mind continuous distributions of random parameters and nonlinear optimization problems. They are suited for optimization of simulation models where analytical relations between the objective function and parameters are difficult to trace. Another application area of such methods consists of multiperiod dynamic stochastic models with parametrized decision rules. Supply chain management, financial applications, telecommunications, and energy generation are among the sources of such problems. The most important notion here is the stochastic gradient, which is a statistical estimate of the gradient of the objective function.
Keywords for this software
References in zbMATH (referenced in 17 articles , 1 standard article )
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Sorted by year (- Gaivoronski, Alexei A.; Nesse, Per-Jonny; Østerbo, Olav-Norvald; Lønsethagen, Håkon: Risk-balanced dimensioning and pricing of end-to-end differentiated services (2016)
- Becker, Denis M.; Gaivoronski, Alexei A.: Stochastic optimization on social networks with application to service pricing (2014)
- Dance, Christopher; Gaivoronski, Alexei A.: Stochastic optimization for real time service capacity allocation under random service demand (2012)
- Knopov, P. S.; Sergienko, I. V.: Some scientific results of Yu. M. Ermoliev and his school in modern stochastic optimization theory (2011)
- Castro, A.; Córdoba, D.: Infinite energy solutions of the surface quasi-geostrophic equation (2010)
- Adiga, C.; Zaferani, R. K.: Upper bounds for energy of a graph (2008)
- Capet, Xavier; Klein, Patrice; Hua, Bach Lien; Lapeyre, Guillaume; McWilliams, James C.: Surface kinetic energy transfer in surface quasi-geostrophic flows (2008)
- Khouider, Boualem; Titi, Edriss S.: An inviscid regularization for the surface quasi-geostrophic equation (2008)
- Nicolai, H.; Peeters, K.: Loop and spin foam quantum gravity: a brief guide for beginners (2007)
- Gaivoronski, Alexei A.: SQG: software for solving stochastic programming problems with stochastic quasi-gradient methods (2005)
- Horata, S.; Egawa, H. S.; Yukawa, T.: Grand-canonical simulation of 4D simplicial quantum gravity (2003)
- Armanious, M. H.; Tadros, S. F.; Dhshan, N. M.: Subdirectly irreducible squags of cardinality $3n$. (2002)
- Sukhatme, Jai; Pierrehumbert, Raymond T.: Surface quasigeostrophic turbulence: the study of an active scalar (2002)
- Zeitler, Herbert: Something old and something new on quasigroups (1998)
- Zeitler, H.: About a special class of quasigroups (1996)
- Zeitler, H.: Steiner systems and Stein quasigroups (1994)
- Uryas’ev, S. P.: Adaptive algorithms of stochastic optimization and game theory. (Adaptivnye algoritmy stokhasticheskoj optimizatsii i teorii igr). (1990)