Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Percolation Theory Using Python full books in PDF, epub, and Kindle. Read online Percolation Theory Using Python ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Anders Malthe-Sørenssen
Publisher : Springer Nature
ISBN 13 : 3031599004
Total Pages : 221 pages
Book Rating : 4.0/5 (315 download)
Download or read book Percolation Theory Using Python written by Anders Malthe-Sørenssen and published by Springer Nature. This book was released on with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : A. Aharony
Publisher : Taylor & Francis
ISBN 13 : 1135747830
Total Pages : 205 pages
Book Rating : 4.1/5 (357 download)
Download or read book Introduction To Percolation Theory written by A. Aharony and published by Taylor & Francis. This book was released on 2003-07-13 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Percolation theory deals with clustering, criticality, diffusion, fractals, phase transitions and disordered systems. It provides a quantitative model for understanding these phenomena, and therefore a theoretical and statistical background to many physical and natural sciences. This book explains the basic theory for the graduate while also reaching into the specialized fields of disordered systems and renormalization groups. Much of the book deals with systems lying close to the critical point phase transition point, where the subject is at its most interesting and sensitive. This text is ideal for those who deal with systems which exhibit critical points and phase transition behavior.
Author : Muhammad Sahimi
Publisher : Springer Nature
ISBN 13 : 3031203860
Total Pages : 690 pages
Book Rating : 4.0/5 (312 download)
Download or read book Applications of Percolation Theory written by Muhammad Sahimi and published by Springer Nature. This book was released on 2023-03-18 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of this book was published in 1994. Since then considerable progress has been made in both theoretical developments of percolation theory, and in its applications. The 2nd edition of this book is a response to such developments. Not only have all of the chapters of the 1st edition been completely rewritten, reorganized, and updated all the way to 2022, but also 8 new chapters have been added that describe extensive new applications, including biological materials, networks and graphs, directed percolation, earthquakes, geochemical processes, and large-scale real world problems, from spread of technology to ad-hoc mobile networks.
Author : Joshua S. Weitz
Publisher : Princeton University Press
ISBN 13 : 0691259615
Total Pages : 273 pages
Book Rating : 4.6/5 (912 download)
Download or read book Quantitative Biosciences Companion in Python written by Joshua S. Weitz and published by Princeton University Press. This book was released on 2024-01-09 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on lab guide in the Python programming language that enables students in the life sciences to reason quantitatively about living systems across scales This lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively in the face of uncertainty. Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities Encourages good coding practices, clear and understandable modeling, and accessible presentation of results Helps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scale Builds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulations Bridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their own Stand-alone computational lab guides for Quantitative Biosciences also available in R and MATLAB
Author : Krishna Raj P.M.
Publisher : Springer
ISBN 13 : 3319967460
Total Pages : 355 pages
Book Rating : 4.3/5 (199 download)
Download or read book Practical Social Network Analysis with Python written by Krishna Raj P.M. and published by Springer. This book was released on 2018-08-25 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on social network analysis from a computational perspective, introducing readers to the fundamental aspects of network theory by discussing the various metrics used to measure the social network. It covers different forms of graphs and their analysis using techniques like filtering, clustering and rule mining, as well as important theories like small world phenomenon. It also presents methods for identifying influential nodes in the network and information dissemination models. Further, it uses examples to explain the tools for visualising large-scale networks, and explores emerging topics like big data and deep learning in the context of social network analysis. With the Internet becoming part of our everyday lives, social networking tools are used as the primary means of communication. And as the volume and speed of such data is increasing rapidly, there is a need to apply computational techniques to interpret and understand it. Moreover, relationships in molecular structures, co-authors in scientific journals, and developers in a software community can also be understood better by visualising them as networks. This book brings together the theory and practice of social network analysis and includes mathematical concepts, computational techniques and examples from the real world to offer readers an overview of this domain.
Author : Geoffrey Grimmett
Publisher : Springer Science & Business Media
ISBN 13 : 1475742088
Total Pages : 304 pages
Book Rating : 4.4/5 (757 download)
Download or read book Percolation written by Geoffrey Grimmett and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quite apart from the fact that percolation theory had its ongm in an honest applied problem, it is a source of fascinating problems of the best kind for which a mathematician can wish: problems which are easy to state with a minimum of preparation, but whose solutions are apparently difficult and require new methods. At the same time, many of the prob lems are of interest to or proposed by statistical physicists and not dreamed up merely to demonstrate ingenuity. Much progress has been made in recent years, and many of the open problems of ten years aga have been solved. With such solutions we have seen the evolution of new techniques and questions; the consequent knowledge has shifted the ground under percolation, and it is time to examine afresh the mathematics of the subject. The quantity of literature related to percolation seems to grow hour by hour, mostly in the physics journals. It is becoming increasingly diffi cult to get to know the subject from scratch, and one of the principal purposes of this book is to remedy this. This book is about the mathematics of percolation theory, with the emphasis upon presenting the shortest rigorous proofs of the main facts.
Author : Ingrid Hotz
Publisher : Springer Nature
ISBN 13 : 3030835006
Total Pages : 372 pages
Book Rating : 4.0/5 (38 download)
Download or read book Topological Methods in Data Analysis and Visualization VI written by Ingrid Hotz and published by Springer Nature. This book was released on 2021-09-28 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a result of a workshop, the 8th of the successful TopoInVis workshop series, held in 2019 in Nyköping, Sweden. The workshop regularly gathers some of the world’s leading experts in this field. Thereby, it provides a forum for discussions on the latest advances in the field with a focus on finding practical solutions to open problems in topological data analysis for visualization. The contributions provide introductory and novel research articles including new concepts for the analysis of multivariate and time-dependent data, robust computational approaches for the extraction and approximations of topological structures with theoretical guarantees, and applications of topological scalar and vector field analysis for visualization. The applications span a wide range of scientific areas comprising climate science, material sciences, fluid dynamics, and astronomy. In addition, community efforts with respect to joint software development are reported and discussed.
Author : Dorian A. H. Hanaor
Publisher : Springer Nature
ISBN 13 : 3031473035
Total Pages : 589 pages
Book Rating : 4.0/5 (314 download)
Download or read book Computational Design of Battery Materials written by Dorian A. H. Hanaor and published by Springer Nature. This book was released on with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dietrich Stauffer
Publisher :
ISBN 13 :
Total Pages : 124 pages
Book Rating : 4.:/5 (81 download)
Download or read book Introduction to Percolation Theory written by Dietrich Stauffer and published by . This book was released on 1985 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert A. Francis
Publisher : Routledge
ISBN 13 : 042967967X
Total Pages : 434 pages
Book Rating : 4.4/5 (296 download)
Download or read book The Routledge Handbook of Landscape Ecology written by Robert A. Francis and published by Routledge. This book was released on 2021-09-09 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook provides a supporting guide to key aspects and applications of landscape ecology to underpin its research and teaching. A wide range of contributions written by expert researchers in the field summarize the latest knowledge on landscape ecology theory and concepts, landscape processes, methods and tools, and emerging frontiers. Landscape ecology is an interdisciplinary and holistic discipline, and this is reflected in the chapters contained in this Handbook. Authors from varying disciplinary backgrounds tackle key concepts such as landscape structure and function, scale and connectivity; landscape processes such as disturbance, flows, and fragmentation; methods such as remote sensing and mapping, fieldwork, pattern analysis, modelling, and participation and engagement in landscape planning; and emerging frontiers such as ecosystem services, landscape approaches to biodiversity conservation, and climate change. Each chapter provides a blend of the latest scientific understanding of its focal topics along with considerations and examples of their application from around the world. An invaluable guide to the concepts, methods, and applications of landscape ecology, this book will be an important reference text for a wide range of students and academics in ecology, geography, biology, and interdisciplinary environmental studies.
Author : Guido Caldarelli
Publisher : Oxford University Press
ISBN 13 : 0199639604
Total Pages : 139 pages
Book Rating : 4.1/5 (996 download)
Download or read book Data Science and Complex Networks written by Guido Caldarelli and published by Oxford University Press. This book was released on 2016 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book guides the reader in the analysis of big-data by providing theoretical and practical instruments to tame the complexity of such systems. Together with support provided by the companion website, it constitutes a simple and useful handbook for data analysts.
Author : Yijia Cao
Publisher : Springer Nature
ISBN 13 : 9811500622
Total Pages : 224 pages
Book Rating : 4.8/5 (115 download)
Download or read book Cyber-Physical Energy and Power Systems written by Yijia Cao and published by Springer Nature. This book was released on 2019-11-19 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses recent advances in cyber-physical power systems (CPPS) in the modeling, analysis and applications of smart grid. It introduces a series of models, such as an analysis of interaction between the power grid and the communication network, differential protection in smart distribution systems, data flow for VLAN-based communication in substations, a co-simulation model for investigating the impacts of cyber-contingency and distributed control systems as well as the analytical techniques used in different parts of cyber physical energy systems. It also discusses methods of cyber-attack on power systems, particularly false data injection. The results presented are a comprehensive summary of the authors’ original research conducted over a period of 5 years. The book is of interest to university researchers, R&D engineers and graduate students in power and energy systems.
Author : Mohammad Gouse Galety
Publisher : John Wiley & Sons
ISBN 13 : 1119836239
Total Pages : 260 pages
Book Rating : 4.1/5 (198 download)
Download or read book Social Network Analysis written by Mohammad Gouse Galety and published by John Wiley & Sons. This book was released on 2022-05-24 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: SOCIAL NETWORK ANALYSIS As social media dominates our lives in increasing intensity, the need for developers to understand the theory and applications is ongoing as well. This book serves that purpose. Social network analysis is the solicitation of network science on social networks, and social occurrences are denoted and premeditated by data on coinciding pairs as the entities of opinion. The book features: Social network analysis from a computational perspective using python to show the significance of fundamental facets of network theory and the various metrics used to measure the social network. An understanding of network analysis and motivations to model phenomena as networks. Real-world networks established with human-related data frequently display social properties, i.e., patterns in the graph from which human behavioral patterns can be analyzed and extracted. Exemplifies information cascades that spread through an underlying social network to achieve widespread adoption. Network analysis that offers an appreciation method to health systems and services to illustrate, diagnose, and analyze networks in health systems. The social web has developed a significant social and interactive data source that pays exceptional attention to social science and humanities research. The benefits of artificial intelligence enable social media platforms to meet an increasing number of users and yield the biggest marketplace, thus helping social networking analysis distribute better customer understanding and aiding marketers to target the right customers. Audience The book will interest computer scientists, AI researchers, IT and software engineers, mathematicians.
Author : Sacha Jon Mooney
Publisher : Springer Nature
ISBN 13 : 3031121767
Total Pages : 232 pages
Book Rating : 4.0/5 (311 download)
Download or read book X-ray Imaging of the Soil Porous Architecture written by Sacha Jon Mooney and published by Springer Nature. This book was released on 2022-11-28 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of X-ray Computed Tomography (CT) as a tool for the soil sciences almost 40 years ago has revolutionised the field. Soil is the fragile, thin layer of material that exists above earth’s geological substrates upon which so much of life on earth depends. However a major limitation to our understanding of how soils behave and function is due to its complex, opaque structure that hinders our ability to assess its porous architecture without disturbance. X-ray imagery has facilitated the ability to truly observe soil as it exists in three dimensions and across contrasting spatial and temporal scales in the field in an undisturbed fashion. This book gives a comprehensive overview of the “state of the art” in a variety of application areas where this type of imaging is used, including soil water physics and hydrology, agronomic management of soils, and soil-plant-microbe interactions. It provides the necessary details for entry level readers in the crucial areas of sample preparation, scanner optimisation and image processing and analysis. Drawing on experts across the globe, from both academia and industry, the book covers the necessary “dos and don’ts”, but also offers insights into the future of both technology and science. The wider application of the book is provided by dedicated chapters on how the data from such imagery can be incorporated into models and how the technology can be interfaced with other relevant technical applications. The book ends with a future outlook from the four editors, each of whom has over 20 years of experience in the application of X-ray CT to soil science.
Author : Muhammad Sahimi
Publisher : CRC Press
ISBN 13 : 9781466513396
Total Pages : 500 pages
Book Rating : 4.5/5 (133 download)
Download or read book Applications of Percolation Theory, Second Edition written by Muhammad Sahimi and published by CRC Press. This book was released on 2014-09-26 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Percolation theory provides a mathematical framework for the study of random physical processes such as flow through disordered porous media. It spans applications in the physical sciences and beyond natural phenomena. Double in size, this second edition provides an up-to-date account of these applications. After reviewing the theory, the book covers a range of applications and variations. Well known in the field, the author presents examples in phase transitions, semiconductors, geology, astrophysics, network modeling, and the social sciences.
Author : Bela Bollobás
Publisher : Cambridge University Press
ISBN 13 : 0521872324
Total Pages : 334 pages
Book Rating : 4.5/5 (218 download)
Download or read book Percolation written by Bela Bollobás and published by Cambridge University Press. This book was released on 2006-09-21 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, first published in 2006, is an account of percolation theory and its ramifications.
Author : Robert Sedgewick
Publisher : Addison-Wesley Professional
ISBN 13 : 0134076524
Total Pages : 1487 pages
Book Rating : 4.1/5 (34 download)
Download or read book Introduction to Programming in Python written by Robert Sedgewick and published by Addison-Wesley Professional. This book was released on 2015-05-27 with total page 1487 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it. Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience. This example-driven guide focuses on Python’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3 Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material.
