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This book comprises the proceedings of the 4th International
Conference on Computational Engineering (ICCE 2017), held in
Darmstadt, Germany on September 28-29, 2017. The conference is
intended to provide an interdisciplinary meeting place for
researchers and practitioners working on computational methods in
all disciplines of engineering, applied mathematics and computer
science. The aims of the conference are to discuss the state of the
art in this challenging field, exchange experiences, develop
promising perspectives for future research and initiate further
cooperation. Computational Engineering is a modern and
multidisciplinary science for computer-based modeling, simulation,
analysis, and optimization of complex engineering applications and
natural phenomena. The book contains an overview of selected
approaches from numerics and optimization of Partial Differential
Equations as well as uncertainty quantification techniques,
typically in multiphysics environments. Where possible, application
cases from engineering are integrated. The book will be of interest
to researchers and practitioners of Computational Engineering,
Applied Mathematics, Engineering Sciences and Computer Science.
This book comprises the proceedings of the 4th International
Conference on Computational Engineering (ICCE 2017), held in
Darmstadt, Germany on September 28-29, 2017. The conference is
intended to provide an interdisciplinary meeting place for
researchers and practitioners working on computational methods in
all disciplines of engineering, applied mathematics and computer
science. The aims of the conference are to discuss the state of the
art in this challenging field, exchange experiences, develop
promising perspectives for future research and initiate further
cooperation. Computational Engineering is a modern and
multidisciplinary science for computer-based modeling, simulation,
analysis, and optimization of complex engineering applications and
natural phenomena. The book contains an overview of selected
approaches from numerics and optimization of Partial Differential
Equations as well as uncertainty quantification techniques,
typically in multiphysics environments. Where possible, application
cases from engineering are integrated. The book will be of interest
to researchers and practitioners of Computational Engineering,
Applied Mathematics, Engineering Sciences and Computer Science.
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