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This book contains the results in numerical analysis and optimization presented at the ECCOMAS thematic conference “Computational Analysis and Optimization” (CAO 2011) held in Jyväskylä, Finland, June 9–11, 2011. Both the conference and this volume are dedicated to Professor Pekka Neittaanmäki on the occasion of his sixtieth birthday. It consists of five parts that are closely related to his scientific activities and interests: Numerical Methods for Nonlinear Problems; Reliable Methods for Computer Simulation; Analysis of Noised and Uncertain Data; Optimization Methods; Mathematical Models Generated by Modern Technological Problems. The book also includes a short biography of Professor Neittaanmäki.

Differential equations -- Numerical solutions. --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Applied Mathematics --- Civil Engineering --- Differential equations --- Numerical solutions. --- 517.91 Differential equations --- Engineering. --- Computer mathematics. --- Physics. --- Mechanics. --- Mechanics, Applied. --- Theoretical and Applied Mechanics. --- Computational Mathematics and Numerical Analysis. --- Numerical and Computational Physics. --- Applied mechanics --- Engineering, Mechanical --- Engineering mathematics --- Classical mechanics --- Newtonian mechanics --- Physics --- Dynamics --- Quantum theory --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Construction --- Industrial arts --- Technology --- Mathematics --- Mechanics, applied. --- Computer science --- Numerical and Computational Physics, Simulation. --- Mathematics.

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This book provides a thorough introduction to the challenge of applying mathematics in real-world scenarios. Modelling tasks rarely involve well-defined categories, and they often require multidisciplinary input from mathematics, physics, computer sciences, or engineering. In keeping with this spirit of modelling, the book includes a wealth of cross-references between the chapters and frequently points to the real-world context. The book combines classical approaches to modelling with novel areas such as soft computing methods, inverse problems, and model uncertainty. Attention is also paid to the interaction between models, data and the use of mathematical software. The reader will find a broad selection of theoretical tools for practicing industrial mathematics, including the analysis of continuum models, probabilistic and discrete phenomena, and asymptotic and sensitivity analysis. .

Mathematics. --- Computer simulation. --- Computer mathematics. --- Mathematical models. --- Applied mathematics. --- Engineering mathematics. --- Mathematical Modeling and Industrial Mathematics. --- Appl.Mathematics/Computational Methods of Engineering. --- Computational Science and Engineering. --- Simulation and Modeling. --- Engineering --- Engineering analysis --- Models, Mathematical --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Math --- Mathematics --- Computer science. --- Mathematical and Computational Engineering. --- Informatics --- Science --- Mathematical analysis --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Maths for engineers. --- Maths for scientists.