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Modeling, Simulation and Optimization for Science and Technology, 2014
- William Fitzgibbon, Yuri A. Kuznetsov, Pekka Neittaanmäki, Olivier Pironneau:
Modeling, Simulation and Optimization for Science and Technology. Computational Methods in Applied Sciences 34, Springer 2014, ISBN 978-94-017-9053-6 - Immanuel Anjam, Olli Mali, Pekka Neittaanmäki, Sergey I. Repin:
A Unified Approach to Measuring Accuracy of Error Indicators. 1-22 - Alexandre Caboussat
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On the Numerical Solution of the Dirichlet Problem for the Elliptic $$(\sigma _2)$$ ( σ 2 ) Equation. 23-40 - Jean-Antoine Désidéri:
Multiple-gradient Descent Algorithm for Pareto-Front Identification. 41-58 - Roland Glowinski:
On Alternating Direction Methods of Multipliers: A Historical Perspective. 59-82 - Guillaume Jouvet
Numerical Analysis and Simulation of the Dynamics of Mountain Glaciers. 83-92 - Dong Seop Lee, Jacques Périaux, Sung-Wook Lee:
Fast Nash Hybridized Evolutionary Algorithms for Single and Multi-objective Design Optimization in Engineering. 93-121 - Ping Lin, Xue-Cheng Tai:
An Augmented Lagrangian Method for the Microstructure of a Liquid Crystal Model. 123-137 - Patrizio Neff
On an Extension of the First Korn Inequality to Incompatible Tensor Fields on Domains of Arbitrary Dimensions. 139-159 - Pierre C. Perrier:
A Guide for the Selection of a Numerical Methodology Adapted to the Analysis of Extreme Events. 161-169 - Domenico Quagliarella, Giovanni Petrone, Gianluca Iaccarino:
Optimization Under Uncertainty Using the Generalized Inverse Distribution Function. 171-190 - Jussi Rasku
Automating the Parameter Selection in VRP: An Off-line Parameter Tuning Tool Comparison. 191-209 - Nobuyuki Satofuka, Koji Morinishi, Itaru Tanno, Tomohisa Hashimoto, Takahiro Yasuda, Yoshihiro Tanaka:
Comparison of Local Computational Approaches for Unsteady Viscous Incompressible Flows. 211-223 - Guy Wolf, Amir Averbuch, Pekka Neittaanmäki:
Parameter Rating by Diffusion Gradient. 225-248
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