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Computation Works
Architects are now taking advantage of the computer in new ways through experimentation with algorithmic and simulation-driven design. Computation Works: The Building of Algorithmic Thought focuses on this emerging theme in design practice, showcasing built and soon-to-be-built projects and providing a state of the art in computational design. Computational design is considered to be first a design tool, and second a series of instruments that can be applied in the creation of architecture. It allows architects to incorporate performance analysis and knowledge about material, tectonics and the parameters of production machinery. Moving towards a new role as hybrid practitioners, architects a...
Applications
An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
Statement of Disbursements of the House
Covers receipts and expenditures of appropriations and other funds.
Computational Fluid Dynamics 2002
We are pleased to present the Proceedings of the Second International Conference on Computational Fluid Dynamics held at the University of Sydney, Australia, from July 15 to 19, 2002. The conference was a productive meeting of scientists, mathematicians and engineers involved in the computation of fluid flow. Keynote lectures were presented in the areas of optimisation, algorithms, turbulence and bio-fluid mechanics. Two hundred and fifty abstracts from many countries were received for con sideration. The executive committee, consisting of A. Lerat, M. Napolitano, J.J. Chattot, N. Satofuka and myself, were responsible for the selection of papers. Each of the members had a separate subcommitt...
Virtual You
"This book describes the revolutionary efforts underway to build virtual humans - from cells and organs to whole bodies and populations. Virtual human technology has extraordinary potential, but also poses enormous computational challenges. Digital doppelgängers of patients will be able to usher in an era of truly personalized medicine, in which virtual drug trials can be conducted on thousands of digital twins, and "health-casts" can give you an idea of what a change in diet and lifestyle would really mean for you. Your "virtual you" will change your healthcare and potentially extend your lifespan (while also raising philosophical and ethical questions). However, numerous challenges and pr...
Knowledge Guided Machine Learning
Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and d...
Ideas Exchange
Das Londoner Architekturbüro Hawkins\Brown, 1988 von Roger Hawkins und Russell Brown gegründet, gehört zu den upcoming Büros der internationalen Architekturszene. Das Spektrum der Arbeiten reicht vom Wohnhaus und Interior Design über Bürobauten und verschiedene öffentliche Bauten wie Theater und Universitätsgebäude bis hin zum Urban Design wie Platzgestaltungen und U-Bahn-Stationen. Es gehört zum Selbstverständnis von Hawkins\Brown, im integrativen Prozess mit allen Akteuren zu einem optimalen Ergebnis zu kommen. Das Buch dokumentiert ca. 25 Bauten aus den letzten fünf Jahren. Zu den vorgestellten Projekten gehören die Tottenham Court Road Underground Station – mit 100.000 Fahrgästen am Tag eine der geschäftigsten U-Bahnstation Londons (Fertigstellung 2011), die Stratford Regional Station in London – eine Zugangsplattform für eine der Hauptaustragungsstätten der Olympischen Spiele (Fertigstellung 2010), Park Hill – das Masterplanning für ein Stadtviertel in Sheffield, UK, (Fertigstellung 2011) und der Dubai Arts Pavilion in den Vereinigten Arabischen Emiraten.
Computational Uncertainty Quantification for Inverse Problems
This book is an introduction to both computational inverse problems and uncertainty quantification (UQ) for inverse problems. The book also presents more advanced material on Bayesian methods and UQ, including Markov chain Monte Carlo sampling methods for UQ in inverse problems. Each chapter contains MATLAB? code that implements the algorithms and generates the figures, as well as a large number of exercises accessible to both graduate students and researchers. Computational Uncertainty Quantification for Inverse Problems is intended for graduate students, researchers, and applied scientists. It is appropriate for courses on computational inverse problems, Bayesian methods for inverse problems, and UQ methods for inverse problems.
Interpolatory Methods for Model Reduction
Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for improved accuracy leads to larger and more complex dynamical systems, direct simulation often becomes the only available strategy for accurate prediction or control, inevitably creating a considerable burden on computational resources. This is the main context where one considers model reduction, seeking to replace large systems of coupled differential and algebraic equations that constitute high fidelity system models with substantially fewer equations that are crafted to control the loss of fidelity that order reduction may induce in the system response. Int...
Mastering Frequency Domain Techniques for the Stability Analysis of LTI Time Delay Systems
In many dynamical systems, time delays arise because of the time it takes to measure system states, perceive and evaluate events, formulate decisions, and act on those decisions. The presence of delays may lead to undesirable outcomes; without an engineered design, the dynamics may underperform, oscillate, and even become unstable. How to study the stability of dynamical systems influenced by time delays is a fundamental question. Related issues include how much time delay the system can withstand without becoming unstable and how to change system parameters to render improved dynamic characteristics, utilize or tune the delay itself to improve dynamical behavior, and assess the stability an...
