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Solving steel mill slab design problems

AbstractThe steel mill slab design problem from the CSPLIB is a combinatorial optimization problem motivated by an application of the steel industry. It has been widely studied in the constraint...

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Ultrasonic Welding of Wires and Cables

AbstractIn the automobile industry, ultrasonic metal welding is an established method. At the Institute of Materials Science and Engineering (WKK) at the University of Kaiserslautern, Germany,...

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Recent Improvements Using Constraint Integer Programming for Resource...

AbstractRecently, we compared the performance of mixed-integer programming (MIP), constraint programming (CP), and constraint integer programming (CIP) to a state-of-the-art logic-based Benders manual...

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Dimension- and Time-Adaptive Multilevel Monte Carlo Methods

AbstractWe use the multilevel Monte Carlo method to estimate option prices in computational finance and combine this method with two adaptive algorithms. In the first algorithm we consider time...

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Using dual presolving reductions to reformulate cumulative constraints

AbstractDual presolving reductions are a class of reformulation techniques that remove feasible or even optimal solutions while guaranteeing that at least one optimal solution remains, as long as the...

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Wind Energy Applications of Unified and Dynamic Turbulence Models

AbstractThis study investigates linear and nonlinear dynamic LES and unified RANS-LES models obtained by stochastic analysis regarding the simulation of the atmospheric boundary layer. The advantages...

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Computational bounds for elevator control policies by large scale linear...

AbstractWe computationally assess policies for the elevator control problem by a new column-generation approach for the linear programming method for discounted infinite-horizon Markov decision...

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Measurement of Blood Coagulation Factor Synthesis in Cultures of Human...

AbstractAn important function of the liver is the synthesis and secretion of blood coagulation factors. Within the liver, hepatocytes are involved in the synthesis of most blood coagulation factors,...

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Unified RANS-LES Simulations of Turbulent Swirling Jets and Channel Flows

AbstractThe accurate and efficient simulation of both attached and separated flows represents a huge challenge. RANS methods suffer from the lack of ability to simulate instantaneous turbulence...

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Reynolds Stress Closure in Hybrid RANS-LES Methods

AbstractThe feasibility of using the elliptic blending Reynolds stress model (EB-RSM) in hybrid RANS-LES methods is investigated in this paper. The advantage of the EB-RSM is that it does not use any...

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Stochastic Equations for Complex Systems

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Structure-Based Primal Heuristics for Mixed Integer Programming

AbstractPrimal heuristics play an important role in the solving of mixed integer programs (MIPs). They help to reach optimality faster and provide good feasible solutions early in the solving process....

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A First Implementation of ParaXpress: Combining Internal and External...

AbstractThe Ubiquity Generator (UG) is a general framework for the external parallelization of mixed integer programming (MIP) solvers. It has been used to develop ParaSCIP, a distributed memory,...

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Parallelization of the FICO Xpress-Optimizer

AbstractMany optimization problems arising in practice can be modeled as mixed integer programs (MIPs). In this paper, we present the new parallelization concept for the state-of-the-art MIP solver...

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Experiments with Conflict Analysis in Mixed Integer Programming

AbstractThe analysis of infeasible subproblems plays an important role in solving mixed integer programs (MIPs) and is implemented in most major MIP solvers. There are two fundamentally different...

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A Status Report on Conflict Analysis in Mixed Integer Nonlinear Programming

AbstractMixed integer nonlinear programs (MINLPs) are arguably among the hardest optimization problems, with a wide range of applications. MINLP solvers that are based on linear relaxations and spatial...

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Structure-driven fix-and-propagate heuristics for mixed integer programming

AbstractPrimal heuristics play an important role in the solving of mixed integer programs (MIPs). They often provide good feasible solutions early and help to reduce the time needed to prove...

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Grid-Resolution Requirements for Large-Eddy Simulations of the Atmospheric...

AbstractLarge-eddy simulations are widely used to study flows in the atmospheric boundary layer. As atmospheric boundary-layer flows of different atmospheric stratification have very different flow...

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Remarks on Energy Partitioning Control in the PITM Hybrid RANS/LES Method for...

AbstractHybrid RANS-LES methods are supposed to provide major contributions, in particular regarding the analysis and prediction of wall-bounded turbulent flows at high Reynolds numbers. Validation...

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Computational aspects of infeasibility analysis in mixed integer programming

AbstractThe analysis of infeasible subproblems plays an important role in solving mixed integer programs (MIPs) and is implemented in most major MIP solvers. There are two fundamentally different...

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