The paper presents a consistent algorithm for regional and sectoral distributed models’ linkage and optimization under asymmetric information based on iterative stochastic quasigradient (SQG) solution procedure of, in general, nonsmooth nondifferentiable optimization. The procedure is used for linking individual sectoral and regional models for integrated and interdependent Food–Energy–Water–Environmental security analysis and management
Interdependencies between land use systems resemble a complex network connected through demand-suppl...
Endogenous uncertainty concerns uncertainty which is dependent of decisions such as link failure in ...
Different classes of nonconvex nonsmooth stochastic optimization problems are analyzed, their genera...
Detailed sectorial and regional models have traditionally been used for planning developments of res...
Traditional integrated modeling (IM) is based on developing and aggregating all relevant (sub)models...
Uncertainties, risks, and disequilibrium are pervasive characteristics of modern socio-economic, tec...
In this presentation we discuss the on-going joint work contributing to the IIASA (International Ins...
The aim of the talk is to introduce and discuss novel systems’ analysis models and methodologies, in...
In this chapter, we describe, the structure of the stochastic optimization solver SQG (Stochastic Qu...
We present a unified and tractable framework for distributionally robust optimization that could enc...
In the presentation we discuss critical issues related to the design of resilient and robust food, w...
In this paper, we introduce an approach for constructing uncertainty sets for robust optimization us...
This thesis consists of three parts, which devote to three topics on optimization under uncertainty ...
A class of stochastic optimization problems is analyzed that cannot be solved by deterministic and s...
In this paper, the author looks at some quite general optimization problems on the space of probabil...
Interdependencies between land use systems resemble a complex network connected through demand-suppl...
Endogenous uncertainty concerns uncertainty which is dependent of decisions such as link failure in ...
Different classes of nonconvex nonsmooth stochastic optimization problems are analyzed, their genera...
Detailed sectorial and regional models have traditionally been used for planning developments of res...
Traditional integrated modeling (IM) is based on developing and aggregating all relevant (sub)models...
Uncertainties, risks, and disequilibrium are pervasive characteristics of modern socio-economic, tec...
In this presentation we discuss the on-going joint work contributing to the IIASA (International Ins...
The aim of the talk is to introduce and discuss novel systems’ analysis models and methodologies, in...
In this chapter, we describe, the structure of the stochastic optimization solver SQG (Stochastic Qu...
We present a unified and tractable framework for distributionally robust optimization that could enc...
In the presentation we discuss critical issues related to the design of resilient and robust food, w...
In this paper, we introduce an approach for constructing uncertainty sets for robust optimization us...
This thesis consists of three parts, which devote to three topics on optimization under uncertainty ...
A class of stochastic optimization problems is analyzed that cannot be solved by deterministic and s...
In this paper, the author looks at some quite general optimization problems on the space of probabil...
Interdependencies between land use systems resemble a complex network connected through demand-suppl...
Endogenous uncertainty concerns uncertainty which is dependent of decisions such as link failure in ...
Different classes of nonconvex nonsmooth stochastic optimization problems are analyzed, their genera...