Advances in Computational Modeling and Simulation

Advances in Computational Modeling and Simulation
Author: Ran Guo
Publisher: Trans Tech Publications Ltd
Total Pages: 1869
Release: 2013-10-15
Genre: Technology & Engineering
ISBN: 3038262870

Selected, peer reviewed papers from the 2nd International Conference on Advances in Computational Modeling and Simulation (ACMS 2013), July 17-19, 2013, Kunming, China

Advances in Computational Modeling and Simulation

Advances in Computational Modeling and Simulation
Author: Rallapalli Srinivas
Publisher: Springer
Total Pages: 0
Release: 2023-02-17
Genre: Computers
ISBN: 9789811678592

The book presents select proceedings of Global meet on ‘Computational Modelling and Simulation, Recent Innovations, Challenges and Perspectives, 2020. This book covers leading-edge technologies from different domains such as computation in optimization and control, multiscale and multiphysics modeling and computation analysis, environmental modeling, modeling approaches to enterprise systems and services, finite element analysis, dependability and security, high-performance computation/cloud computing applications, computational biology and chemistry and computational mechanics. The primary goal of this book is to strengthen pre-eminence in computational modeling and simulation by catalyzing the transformative use of innovative developments in a wide range of disciplines to achieve lasting societal impact. The book discusses on how to perform simulation of large complex dynamic systems in an efficient manner using advanced computational analysis. The inter-disciplinary nature of the book would be a valuable reference for academicians and research scientists, industrialists interested in modelling and simulation driven by computational technology.

Computational Modeling And Simulations Of Biomolecular Systems

Computational Modeling And Simulations Of Biomolecular Systems
Author: Benoit Roux
Publisher: World Scientific
Total Pages: 209
Release: 2021-08-23
Genre: Computers
ISBN: 9811232776

This textbook originated from the course 'Simulation, Modeling, and Computations in Biophysics' that I have taught at the University of Chicago since 2011. The students typically came from a wide range of backgrounds, including biology, physics, chemistry, biochemistry, and mathematics, and the course was intentionally adapted for senior undergraduate students and graduate students. This is not a highly technical book dedicated to specialists. The objective is to provide a broad survey from the physical description of a complex molecular system at the most fundamental level, to the type of phenomenological models commonly used to represent the function of large biological macromolecular machines.The key conceptual elements serving as building blocks in the formulation of different levels of approximations are introduced along the way, aiming to clarify as much as possible how they are interrelated. The only assumption is a basic familiarity with simple mathematics (calculus and integrals, ordinary differential equations, matrix linear algebra, and Fourier-Laplace transforms).

Computational Techniques in Modeling and Simulation

Computational Techniques in Modeling and Simulation
Author: Victor Krasnoproshin
Publisher: Nova Science Publishers
Total Pages: 0
Release: 2013
Genre: Business & Economics
ISBN: 9781628080179

This volume is concerned with Computational Techniques in Modeling and Simulation. Initially, there are four research papers and apart from those, the rest of the research papers are coming from the International Conference on Modeling and Simulation (MS2012), held in Minsk, 24 May 2012. MS'12 was co-organised by the AMSE Association and the Belarusian State University in co-operation with other scientific establishments: the Belarusian Academy of Sciences (United Institute of Problems of Informatics), the Belarusian Society of International Association of Pattern Recognition and the International Association for Fuzzy Set Management and Economy (SIGEF, Spain). The Conference was sponsored by the Belarusian State University and Byelex Multimedia Products BV (The Netherlands). It offered a unique opportunity for researchers, professionals and students to share ideas concerning modelling, simulation and implementation of the results in the real world.We would like to thank all contributors, referees, honorary committees for their co-operation within MS'12, in particular: Jaime Gil Aluja (AMSE President), Sergey Ablameyko (the Rector of the Belarusian State University) as honorary chairmen.

Advanced Methods for Geometric Modeling and Numerical Simulation

Advanced Methods for Geometric Modeling and Numerical Simulation
Author: Carlotta Giannelli
Publisher: Springer Nature
Total Pages: 242
Release: 2019-09-18
Genre: Mathematics
ISBN: 3030273318

This book gathers selected contributions presented at the INdAM Workshop “DREAMS”, held in Rome, Italy on January 22−26, 2018. Addressing cutting-edge research topics and advances in computer aided geometric design and isogeometric analysis, it covers distinguishing curve/surface constructions and spline models, with a special focus on emerging adaptive spline constructions, fundamental spline theory and related algorithms, as well as various aspects of isogeometric methods, e.g. efficient quadrature rules and spectral analysis for isogeometric B-spline discretizations. Applications in finite element and boundary element methods are also discussed. Given its scope, the book will be of interest to both researchers and graduate students working in these areas.

Introduction to Computational Science

Introduction to Computational Science
Author: Angela B. Shiflet
Publisher: Princeton University Press
Total Pages: 857
Release: 2014-03-30
Genre: Computers
ISBN: 140085055X

The essential introduction to computational science—now fully updated and expanded Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors

Biological Modeling and Simulation

Biological Modeling and Simulation
Author: Russell Schwartz
Publisher: MIT Press
Total Pages: 403
Release: 2008-07-25
Genre: Science
ISBN: 0262303396

A practice-oriented survey of techniques for computational modeling and simulation suitable for a broad range of biological problems. There are many excellent computational biology resources now available for learning about methods that have been developed to address specific biological systems, but comparatively little attention has been paid to training aspiring computational biologists to handle new and unanticipated problems. This text is intended to fill that gap by teaching students how to reason about developing formal mathematical models of biological systems that are amenable to computational analysis. It collects in one place a selection of broadly useful models, algorithms, and theoretical analysis tools normally found scattered among many other disciplines. It thereby gives the aspiring student a bag of tricks that will serve him or her well in modeling problems drawn from numerous subfields of biology. These techniques are taught from the perspective of what the practitioner needs to know to use them effectively, supplemented with references for further reading on more advanced use of each method covered. The text, which grew out of a class taught at Carnegie Mellon University, covers models for optimization, simulation and sampling, and parameter tuning. These topics provide a general framework for learning how to formulate mathematical models of biological systems, what techniques are available to work with these models, and how to fit the models to particular systems. Their application is illustrated by many examples drawn from a variety of biological disciplines and several extended case studies that show how the methods described have been applied to real problems in biology.

Scientific Modeling and Simulations

Scientific Modeling and Simulations
Author: Sidney Yip
Publisher: Springer Science & Business Media
Total Pages: 396
Release: 2010-04-07
Genre: Science
ISBN: 1402097417

Although computational modeling and simulation of material deformation was initiated with the study of structurally simple materials and inert environments, there is an increasing demand for predictive simulation of more realistic material structure and physical conditions. In particular, it is recognized that applied mechanical force can plausibly alter chemical reactions inside materials or at material interfaces, though the fundamental reasons for this chemomechanical coupling are studied in a material-speci c manner. Atomistic-level s- ulations can provide insight into the unit processes that facilitate kinetic reactions within complex materials, but the typical nanosecond timescales of such simulations are in contrast to the second-scale to hour-scale timescales of experimentally accessible or technologically relevant timescales. Further, in complex materials these key unit processes are “rare events” due to the high energy barriers associated with those processes. Examples of such rare events include unbinding between two proteins that tether biological cells to extracellular materials [1], unfolding of complex polymers, stiffness and bond breaking in amorphous glass bers and gels [2], and diffusive hops of point defects within crystalline alloys [3].

Catalyzing Inquiry at the Interface of Computing and Biology

Catalyzing Inquiry at the Interface of Computing and Biology
Author: National Research Council
Publisher: National Academies Press
Total Pages: 469
Release: 2006-01-01
Genre: Science
ISBN: 030909612X

Advances in computer science and technology and in biology over the last several years have opened up the possibility for computing to help answer fundamental questions in biology and for biology to help with new approaches to computing. Making the most of the research opportunities at the interface of computing and biology requires the active participation of people from both fields. While past attempts have been made in this direction, circumstances today appear to be much more favorable for progress. To help take advantage of these opportunities, this study was requested of the NRC by the National Science Foundation, the Department of Defense, the National Institutes of Health, and the Department of Energy. The report provides the basis for establishing cross-disciplinary collaboration between biology and computing including an analysis of potential impediments and strategies for overcoming them. The report also presents a wealth of examples that should encourage students in the biological sciences to look for ways to enable them to be more effective users of computing in their studies.

Advances in Computational Plasticity

Advances in Computational Plasticity
Author: Eugenio Oñate
Publisher: Springer
Total Pages: 443
Release: 2017-09-09
Genre: Technology & Engineering
ISBN: 3319608851

This book brings together some 20 chapters on state-of-the-art research in the broad field of computational plasticity with applications in civil and mechanical engineering, metal forming processes, geomechanics, nonlinear structural analysis, composites, biomechanics and multi-scale analysis of materials, among others. The chapters are written by world leaders in the different fields of computational plasticity.