Computational Frameworks

Computational Frameworks PDF

Author: Mamadou Kaba Traore

Publisher: Elsevier

Published: 2017-07-07

Total Pages: 136

ISBN-13: 0081023162

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Computational Frameworks: Systems, Models and Applications provides an overview of advanced perspectives that bridges the gap between frontline research and practical efforts. It is unique in showing the interdisciplinary nature of this area and the way in which it interacts with emerging technologies and techniques. As computational systems are a dominating part of daily lives and a required support for most of the engineering sciences, this book explores their usage (e.g. big data, high performance clusters, databases and information systems, integrated and embedded hardware/software components, smart devices, mobile and pervasive networks, cyber physical systems, etc.). Provides a unique presentation on the views of frontline researchers on computational systems theory and applications in one holistic scope Cover both computational science and engineering Bridges the gap between frontline research and practical efforts

Computational Frameworks for the Fast Fourier Transform

Computational Frameworks for the Fast Fourier Transform PDF

Author: Charles Van Loan

Publisher: SIAM

Published: 1992-01-01

Total Pages: 286

ISBN-13: 9781611970999

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The most comprehensive treatment of FFTs to date. Van Loan captures the interplay between mathematics and the design of effective numerical algorithms--a critical connection as more advanced machines become available. A stylized Matlab notation, which is familiar to those engaged in high-performance computing, is used. The Fast Fourier Transform (FFT) family of algorithms has revolutionized many areas of scientific computation. The FFT is one of the most widely used algorithms in science and engineering, with applications in almost every discipline. This volume is essential for professionals interested in linear algebra as well as those working with numerical methods. The FFT is also a great vehicle for teaching key aspects of scientific computing.

Computational Frameworks for Political and Social Research with Python

Computational Frameworks for Political and Social Research with Python PDF

Author: Josh Cutler

Publisher: Springer Nature

Published: 2020-04-22

Total Pages: 213

ISBN-13: 3030368262

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This book is intended to serve as the basis for a first course in Python programming for graduate students in political science and related fields. The book introduces core concepts of software development and computer science such as basic data structures (e.g. arrays, lists, dictionaries, trees, graphs), algorithms (e.g. sorting), and analysis of computational efficiency. It then demonstrates how to apply these concepts to the field of political science by working with structured and unstructured data, querying databases, and interacting with application programming interfaces (APIs). Students will learn how to collect, manipulate, and exploit large volumes of available data and apply them to political and social research questions. They will also learn best practices from the field of software development such as version control and object-oriented programming. Instructors will be supplied with in-class example code, suggested homework assignments (with solutions), and material for practical lab sessions.

Multiscale and Multiphysics Computational Frameworks for Nano- and Bio-Systems

Multiscale and Multiphysics Computational Frameworks for Nano- and Bio-Systems PDF

Author: Hyungjun Kim

Publisher: Springer Science & Business Media

Published: 2010-11-18

Total Pages: 191

ISBN-13: 1441976019

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This volume develops multiscale and multiphysics simulation methods to understand nano- and bio-systems by overcoming the limitations of time- and length-scales. Here the key issue is to extend current computational simulation methods to be useful for providing microscopic understanding of complex experimental systems. This thesis discusses the multiscale simulation approaches in nanoscale metal-insulator-metal junction, molecular memory, ionic transport in zeolite systems, dynamics of biomolecules such as lipids, and model lung system. Based on the cases discussed here, the author suggests various systematic strategies to overcome the limitations in time- and length-scales of the traditional monoscale approaches.

Computational Frameworks

Computational Frameworks PDF

Author: Mamadou Kaba Traore

Publisher:

Published: 2017-04-06

Total Pages: 136

ISBN-13: 9781785482564

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Computational systems are a dominating part of daily lives and a required support for most of the Engineering sciences. Many important issues need be studied, monitored, and predicted to the use of these technologies for development; a Computational Science and Engineering (CSE) is core to all engineering sciences. As a result, computational systems are seeing worldwide growth of services to all user domains: public or private, military or government, education or industry, healthcare or finance, science or entertainment. The use of computational technologies (e.g. big data, high performance clusters, databases and information systems, integrated and embedded hardware/software components, smart devices, mobile and pervasive networks, cyber physical systems, etc.) requires many important theoretical, methodological, technical and scaling issues to be studied, monitored, and predicted, in order to save time, reduce costs and add value to social capital. With a highly selective set of contributions, this book aims to provide an overview of advanced perspectives in this domain, while bridging the gap between frontline research and practical efforts. It is unique in showing the interdisciplinary nature of this area and the way in which it interacts with emerging technologies and techniques. This handbook is unique in presenting the views of frontline researchers on computational systems theory and applications in one holistic scope, but with focus on key aspects and requirements: Computational Science and Engineering High Performance Computing Big Data Reproducibility Computational systemS

Computational Models For Life Sciences (CMLS '07)

Computational Models For Life Sciences (CMLS '07) PDF

Author: Tuan D. Pham

Publisher: American Institute of Physics

Published: 2007-11-26

Total Pages: 386

ISBN-13:

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This conference proceedings text features research papers that address novel applications of computer, physical, engineering and mathematical models for solving modern challenging problems in life sciences. All the papers, presented at the Computational Models for Life Sciences conference held in 2007, have been peer-reviewed. They cover a huge range of topics, including image analysis, computer vision, and pattern analysis and classification, among many others.

Computational Framework for the Finite Element Method in MATLAB® and Python

Computational Framework for the Finite Element Method in MATLAB® and Python PDF

Author: Pavel Sumets

Publisher: CRC Press

Published: 2022-08-11

Total Pages: 182

ISBN-13: 1000609995

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Computational Framework for the Finite Element Method in MATLAB® and Python aims to provide a programming framework for coding linear FEM using matrix-based MATLAB® language and Python scripting language. It describes FEM algorithm implementation in the most generic formulation so that it is possible to apply this algorithm to as many application problems as possible. Readers can follow the step-by-step process of developing algorithms with clear explanations of its underlying mathematics and how to put it into MATLAB and Python code. The content is focused on aspects of numerical methods and coding FEM rather than FEM mathematical analysis. However, basic mathematical formulations for numerical techniques which are needed to implement FEM are provided. Particular attention is paid to an efficient programming style using sparse matrices. Features Contains ready-to-use coding recipes allowing fast prototyping and solving of mathematical problems using FEM Suitable for upper-level undergraduates and graduates in applied mathematics, science or engineering Both MATLAB and Python programming codes are provided to give readers more flexibility in the practical framework implementation