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[PDF] Top 20 Upper and Lower Bounds for Large Scale Multistage Stochastic Optimization Problems: Decomposition Methods

Has 10000 "Upper and Lower Bounds for Large Scale Multistage Stochastic Optimization Problems: Decomposition Methods" found on our website. Below are the top 20 most common "Upper and Lower Bounds for Large Scale Multistage Stochastic Optimization Problems: Decomposition Methods".

Upper and Lower Bounds for Large Scale Multistage Stochastic Optimization Problems: Decomposition Methods

Upper and Lower Bounds for Large Scale Multistage Stochastic Optimization Problems: Decomposition Methods

... a large scale multistage stochastic optimization prob- lem involving multiple ...such large scale problems, we pro- pose two decomposition methods, ... Voir le document complet

21

Upper and Lower Bounds for Large Scale Multistage Stochastic Optimization Problems: Application to Microgrid Management

Upper and Lower Bounds for Large Scale Multistage Stochastic Optimization Problems: Application to Microgrid Management

... Upper and Lower Bounds for Large Scale Multistage Stochastic Optimization Problems: Application to Microgrid Management Pierre Carpentier, Jean-Philippe Chancelier, Michel de Lara, Franç[r] ... Voir le document complet

21

Time Blocks Decomposition of Multistage Stochastic Optimization Problems

Time Blocks Decomposition of Multistage Stochastic Optimization Problems

... receipt and acceptance should be inserted later Abstract Multistage stochastic optimization problems are, by essence, complex because their solutions are indexed both by stages (time) ... Voir le document complet

29

On High-Performance Benders-Decomposition-Based Exact
Methods with Application to Mixed-Integer and Stochastic
Problems

On High-Performance Benders-Decomposition-Based Exact Methods with Application to Mixed-Integer and Stochastic Problems

... the lower and upper ...high-quality and diverse ...iterations and cause the lower bound to increase more ...2016) and the sustainable supply chain network design problem ... Voir le document complet

218

Decomposition-Based Integer Programming, Stochastic
Programming, and Robust Optimization Methods for Healthcare
Planning, Scheduling, and Routing Problems

Decomposition-Based Integer Programming, Stochastic Programming, and Robust Optimization Methods for Healthcare Planning, Scheduling, and Routing Problems

... even for instances where the dual algorithm does not converge very ...gaps for the Benders-dual algorithm (Gap ∗ BD ) are ...gaps for the Benders ...better upper bounds than the Benders ... Voir le document complet

217

Regularized decomposition of large scale block-structured robust optimization problems

Regularized decomposition of large scale block-structured robust optimization problems

... so large with the data instances described above, that it cannot be solved (to any decent precision) by a monolithic solver ...model for D contains an exponential number of scenarios, in our case ... Voir le document complet

22

Distributed algebraic connectivity estimation for undirected graphs with upper and lower bounds

Distributed algebraic connectivity estimation for undirected graphs with upper and lower bounds

... a lower bound of this algebraic connectivity is necessary in order to achieve a certain ...several methods based on distributed Power Iteration have been proposed for computing the algebraic ... Voir le document complet

10

Upper and lower bounds for finding connected motifs in vertex-colored graphs

Upper and lower bounds for finding connected motifs in vertex-colored graphs

... {v} for some vertex v ∈ X ′ , and E(X) = E(X ′ ) \ n {u, v} ∈ E(X ′ ) o ...′ and X ′′ in T with X = X ′ = X ′′ ...[5], for graph of constant treewidth there exists a linear-time algo- rithm ... Voir le document complet

24

Upper and lower bounds for the ergodic capacity of MIMO Jacobi fading channels

Upper and lower bounds for the ergodic capacity of MIMO Jacobi fading channels

... backscattering and near-lossless propagation, we can model the transmission channel as a random complex unitary matrix ...channel for fiber-optical MIMO channel and they gave analytical expression ... Voir le document complet

9

Decomposition methods for facility location problems

Decomposition methods for facility location problems

... Although solving the linear program (5.3.12) generates pareto-optimal cuts for Benders' method applied to general mixed integer programs, the special structure of facility locat[r] ... Voir le document complet

84

Connections between circuit analysis problems and circuit lower bounds

Connections between circuit analysis problems and circuit lower bounds

... We show how faster algorithms (slightly beating the 2" cost of exhaustive search) for Circuit Satisfiability or Gap Circuit Satisfiability can imply non-uniform [r] ... Voir le document complet

112

Cost Bounds for Pickup and Delivery Problems with Application to Large-Scale Transportation Systems

Cost Bounds for Pickup and Delivery Problems with Application to Large-Scale Transportation Systems

... gap for a rather general model of DRT ...Pickup and Delivery Problem (DPDP), where pickup requests arrive according to a renewal process and are randomly located according to a general probability ... Voir le document complet

9

Stochastic decomposition applied to large-scale hydro valleys management

Stochastic decomposition applied to large-scale hydro valleys management

... price decomposition within the closed- loop stochastic ...price decomposition algorithm solves each subproblem using the current price, and then uses the solutions to update ...the ... Voir le document complet

30

Domain decomposition methods for large linearly elliptic three dimensional problems

Domain decomposition methods for large linearly elliptic three dimensional problems

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet

26

Decomposition techniques for large-scale optimization in the supply chain

Decomposition techniques for large-scale optimization in the supply chain

... decisions and continuous decisions are made in different stages is an interesting and potentially beneficial ...approaches for supply chain prob- lems are applied in the literature in order to reduce ... Voir le document complet

105

Computing Upper and Lower Bounds for the J-Integral in Two-Dimensional Linear Elasticity

Computing Upper and Lower Bounds for the J-Integral in Two-Dimensional Linear Elasticity

... method for computing rigorous upper and lower bounds of the J-integral in two dimensional linear ...linear and quadratic functionals of the solution ...displacement and in ... Voir le document complet

8

Upper and Lower Bounds on Overflow Probabilities for a Multiplexer with Multiclass Markovian Sources

Upper and Lower Bounds on Overflow Probabilities for a Multiplexer with Multiclass Markovian Sources

... Unite´ de recherche INRIA Lorraine, Technopoˆle de Nancy-Brabois, Campus scientifique, 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LE` S NANCY Unite´ de recherche INRIA Rennes, Ir[r] ... Voir le document complet

31

Computationally efficient simulation-based optimization algorithms for large-scale urban transportation problems

Computationally efficient simulation-based optimization algorithms for large-scale urban transportation problems

... In this section, we use three frameworks to address the traffic responsive control problem of Lausanne: 1) an optimization framework that uses only model-driven sim[r] ... Voir le document complet

151

Stochastic optimization of maintenance scheduling : blackbox methods, decomposition approaches - Theoretical and numerical aspects

Stochastic optimization of maintenance scheduling : blackbox methods, decomposition approaches - Theoretical and numerical aspects

... search methods and exposes the ideas that have led to the design of the MADS algorithm, which enjoys strong theoretical ...solvers for the Expected Improvement (EI) maximization step within ...solver ... Voir le document complet

223

Lower and Upper Bounds on the Randomness Complexity of Private Computations of AND

Lower and Upper Bounds on the Randomness Complexity of Private Computations of AND

... interesting, and perhaps feasible, task to determine the exact randomness complexity of the private computation of boolean functions of linear circuit size, where each player has a single input ...f and, in ... Voir le document complet

22

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