Fitzgibbon W., Kuznetsov Yu.A., Neittaanmäki P., Pironneau O. (eds.) Modeling, Simulation and Optimization for Science and Technology

Amsterdam: Springer, 2014. - 248p.This volume contains thirteen articles on advances in applied mathematics and computing methods for engineering problems. Six papers are on optimization methods and algorithms with emphasis on problems with multiple criteria; four articles are on numerical methods for applied problems modeled with nonlinear PDEs; two contributions are on abstract estimates for error analysis; finally one paper deals with rare events in the context of uncertainty quantification. Applications include aerospace, glaciology and nonlinear elasticity.
Herein is a selection of contributions from speakers at two conferences on applied mathematics held in June 2012 at the University of Jyväskylä, Finland. The first conference, Optimization and PDEs with Industrial Applications celebrated the seventieth birthday of Professor Jacques Périaux of the University of Jyväskylä and Polytechnic University of Catalonia (Barcelona Tech), and the second conference, Optimization and PDEs with Applications celebrated the seventy-fifth birthday of Professor Roland Glowinski of the University of Houston.
This work should be of interest to researchers and practitioners as well as advanced students or engineers in computational and applied mathematics or mechanics.A Unified Approach to Measuring Accuracy of Error Indicators
On the Numerical Solution of the Dirichlet Problem for the Elliptic ((sigma _2)) Equation
Multiple-gradient Descent Algorithm for Pareto-Front Identification
On Alternating Direction Methods of Multipliers: A Historical Perspective
Numerical Analysis and Simulation of the Dynamics of Mountain Glaciers
Fast Nash Hybridized Evolutionary Algorithms for Single and Multi-objective Design Optimization in Engineering
An Augmented Lagrangian Method for the Microstructure of a Liquid Crystal Model
On an Extension of the First Korn Inequality to Incompatible Tensor Fields on Domains of Arbitrary Dimensions
A Guide for the Selection of a Numerical Methodology Adapted to the Analysis of Extreme Events
Optimization Under Uncertainty Using the Generalized Inverse Distribution Function
Automating the Parameter Selection in VRP: An Off-line Parameter Tuning Tool Comparison
Comparison of Local Computational Approaches for Unsteady Viscous Incompressible Flows
Parameter Rating by Diffusion Gradient