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Dynamic Process Modeling
  • Language: en
  • Pages: 628

Dynamic Process Modeling

Inspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London, this book includes theoretical developments, algorithms, methodologies and tools in process systems engineering and applications from the chemical, energy, molecular, biomedical and other areas. It spans a whole range of length scales seen in manufacturing industries, from molecular and nanoscale phenomena to enterprise-wide optimization and control. As such, this will appeal to a broad readership, since the topic applies not only to all technical processes but also due to the interdisciplinary expertise required to solve the challenge. The ultimate reference work for years to come.

European Symposium on Computer-Aided Process Engineering-15
  • Language: en
  • Pages: 739

European Symposium on Computer-Aided Process Engineering-15

  • Type: Book
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  • Published: 2005
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  • Publisher: Elsevier

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Computational Methods in Systems Biology
  • Language: en
  • Pages: 279

Computational Methods in Systems Biology

  • Type: Book
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  • Published: 2014-10-20
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  • Publisher: Springer

This book constitutes the proceedings of the 12th International Conference on Computational Methods in Systems Biology, CMSB 2014, held in Manchester, UK, in November 2014. The 16 regular papers presented together with 6 poster papers were carefully reviewed and selected from 31 regular and 18 poster submissions. The papers are organized in topical sections on formalisms for modeling biological processes, model inference from experimental data, frameworks for model verification, validation, and analysis of biological systems, models and their biological applications, computational approaches for synthetic biology, and flash posters.

System Modelling and Optimization
  • Language: en
  • Pages: 348

System Modelling and Optimization

  • Type: Book
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  • Published: 2013-03-20
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  • Publisher: Springer

System Modelling and Optimization covers research issues within systems theory, optimization, modelling, and computing. It includes contributions to structural mechanics, integer programming, nonlinear programming, interior point methods, dynamical systems, stability analysis, stochastic optimization, bilevel optimization, and semidefinite programming. Several survey papers written by leading experts in their fields complement new developments in theory and applications. This book contains most of the invited papers and a few carefully selected submitted papers that were presented at the 19th IFIP TC7 Conference on System Modelling and Optimization, which was held in Cambridge, England, from July 12 to 16, 1999, and sponsored by the International Federation for Information Processing (IFIP).

Progress in Industrial Mathematics at ECMI 2016
  • Language: en
  • Pages: 749

Progress in Industrial Mathematics at ECMI 2016

  • Type: Book
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  • Published: 2018-03-26
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  • Publisher: Springer

This book addresses mathematics in a wide variety of applications, ranging from problems in electronics, energy and the environment, to mechanics and mechatronics. Using the classification system defined in the EU Framework Programme for Research and Innovation H2020, several of the topics covered belong to the challenge climate action, environment, resource efficiency and raw materials; and some to health, demographic change and wellbeing; while others belong to Europe in a changing world – inclusive, innovative and reflective societies. The 19th European Conference on Mathematics for Industry, ECMI2016, was held in Santiago de Compostela, Spain in June 2016. The proceedings of this confe...

Practical Applications of Computational Biology and Bioinformatics, 12th International Conference
  • Language: en
  • Pages: 239

Practical Applications of Computational Biology and Bioinformatics, 12th International Conference

  • Type: Book
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  • Published: 2018-08-16
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  • Publisher: Springer

This book introduces the latest international research in the fields of bioinformatics and computational biology. It includes various studies in the area of machine learning in bioinformatics, systems biology, omics data analysis and mining, biomedical applications and sequences, which were selected by an international committee and presented at the 12th International Conference on Practical Applications of Computational Biology & Bioinformatics held in Toledo in June 2018.

Systems Biology for Signaling Networks
  • Language: en
  • Pages: 900

Systems Biology for Signaling Networks

System Biology encompasses the knowledge from diverse fields such as Molecular Biology, Immunology, Genetics, Computational Biology, Mathematical Biology, etc. not only to address key questions that are not answerable by individual fields alone, but also to help in our understanding of the complexities of biological systems. Whole genome expression studies have provided us the means of studying the expression of thousands of genes under a particular condition and this technique had been widely used to find out the role of key macromolecules that are involved in biological signaling pathways. However, making sense of the underlying complexity is only possible if we interconnect various signal...

Computational Methods in Systems Biology
  • Language: en
  • Pages: 299

Computational Methods in Systems Biology

  • Type: Book
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  • Published: 2013-09-18
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  • Publisher: Springer

This book constitutes the proceedings of the 11th International Conference on Computational Methods in Systems Biology, CMSB 2013, held in Klosterneuburg, Austria, in September 2013. The 15 regular papers included in this volume were carefully reviewed and selected from 27 submissions. They deal with computational models for all levels, from molecular and cellular, to organs and entire organisms.

Stochastic Methods for Parameter Estimation and Design of Experiments in Systems Biology
  • Language: en
  • Pages: 164

Stochastic Methods for Parameter Estimation and Design of Experiments in Systems Biology

Markov Chain Monte Carlo (MCMC) methods are sampling based techniques, which use random numbers to approximate deterministic but unknown values. They can be used to obtain expected values, estimate parameters or to simply inspect the properties of a non-standard, high dimensional probability distribution. Bayesian analysis of model parameters provides the mathematical foundation for parameter estimation using such probabilistic sampling. The strengths of these stochastic methods are their robustness and relative simplicity even for nonlinear problems with dozens of parameters as well as a built-in uncertainty analysis. Because Bayesian model analysis necessarily involves the notion of prior ...

Chemistry of Structure-Function Relationships in Cheese
  • Language: en
  • Pages: 398

Chemistry of Structure-Function Relationships in Cheese

Although the art of making cheese can be traced to prehistoric times, it has continued to evolve as modern civilization progressed. The advent of new technologies and instrumentation has brought exponential growth in the understanding of cheese components and their function. Even more recently, the evolution of cheesemaking has accelerated, driven by economic factors such as the establishment of the European Economic Community, the changing diet of developed countries, and the environmental and economic concerns associated with whey disposal. Molecular biology has revolutionized the development of starter and adjunct cultures as well as rennets, and genetics will make it possible to maintain...