Book Description
Thorough and accessible, this book presents the design principles of biological systems, and highlights the recurring circuit elements that make up biological networks. It provides a simple mathematical framework which can be used to understand and even design biological circuits. The text avoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask why a system is designed in a particular way and then proceeds to answer with simplified models.
Customer Reviews:
Clear, rigorous, fascinating.......2007-01-20
I'm a Ph.D. student in biophysics. This is the best treatment of systems biology that I've encountered. It treats both the math and the biology with clarity, rigor, and respect. It simplifies without dumbing down. It's beautifully written. If you doubt that systems biology is a real scientific discipline, this book will change your mind.
Building Mathematical Models of Cells.......2006-09-25
The history of science over the past few centuries is to become ever more specialized. The physicists, becomming ever more concerned with the very large (stars, galaxies, the cosmos) or the very tiny (first atoms, then atomic components, now sub-components. The biologists on the other hand were studying much larger things, such as the cells that make up life. Both sciences developed techniques to facilitate their study.
In recent years, researchers have discovered that sometimes these specialized techniques can be used to develop greater insight into what is happening in other sciences.
In this book, Dr. Alon uses his training in physics to examine certain aspects of biology and to use the terminology and mathematics to describe the way these biological networks work.
The goal of the book is to begin the formulation of general laws that apply to biological networks. This is done by providing a mathematical framework in which some of the design principles of biological systems can help to understand biological networks. In looking at the results, an underlying simplicity not seen before appears in biological systems.
Great Job.......2006-09-09
A superb intro to the field. The math is moderate and helpful. Network concepts and their ties to examples and theory are clearly and succinctly presented. This is a textbook but reads easily like a book. Covers key elements while connecting them by at least mention to up-to-date further research. The basics and the grandeur of systems biology. I am trying to remember now anything on the negative side and cannot.
Book Description
Computational science is a quickly emerging field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. However, limited educational materials exist in this field. Introduction to Computational Science fills this void with a flexible, readable textbook that assumes only a background in high school algebra and enables instructors to follow tailored pathways through the material. It is the first textbook designed specifically for an introductory course in the computational science and engineering curriculum.
The text embraces two major approaches to computational science problems: System dynamics models with their global views of major systems that change with time; and cellular automaton simulations with their local views of how individuals affect individuals. While the text is generic, an extensive author-generated Web-site contains tutorials and files in a variety of software packages to accompany the text.
- Generic software approach in the text
- Web site with tutorials and files in a variety of software packages
- Engaging examples, exercises, and projects that explore science
- Additional, substantial projects for students to develop individually or in teams
- Consistent application of the modeling process
- Quick review questions and answers
- Projects for students to develop individually or in teams
- Reference sections for most modules, as well as a glossary
- Online instructor's manual with a test bank and solutions
Book Description
The only one of its kind devoted entirely to the subject,
Large Eddy Simulation presents a comprehensive account and a unified view of this young but very rich discipline. LES is the only efficient technique for approaching high Reynolds numbers when simulating industrial, natural or experimental configurations. The author concentrates on incompressible fluids and chooses topics well to treat both the mathematical ideas and the applications with care. The book addresses researchers as well as graduate students and engineers. The second edition was a greatly enriched version motivated both by the increasing theoretical interest in LES and the increasing number of applications. Two entirely new chapters were devoted to the coupling of LES with multiresolution multidomain techniques and to the new hybrid approaches that relate the LES procedures to the classical statistical methods based on the Reynolds-Averaged Navier-Stokes equations.
This 3rd edition adds various sections to the text like a careful error analysis, on filtered density function models and multiscale models. It also contains two new chapters on the prediction of scalars using LES which are of considerable interest for engineering and geophysical modeling. The part on geophysical flow has much to offer on a critical current issue.
Customer Reviews:
Good Book!!.......2007-07-12
Great Job, this book is good, but is very tiring. Because the subject is extensive.
Thank you!!
An atlas of large-eddy simulation.......2006-06-02
This book presents the current status of Large-Eddy Simulation (LES) and is invaluable for anyone working on the field.
The author presents all relevant subgrid scale models, the theoretical basis of the method, lessons from practical cases, etc
It is no accident that this is the 3rd revision in 4 years, collecting forewords from leading theoreticians along the way: Germano, Lesieur and Meneveau.
Book Description
Thoroughly updated and revised for its second edition, this advanced textbook provides an introduction to the basic methods of computational physics, and an overview of recent progress in several areas of scientific computing. Tao Pang presents many step-by-step examples, including program listings in JavaTM, of practical numerical methods from modern physics and related areas. Now including many more exercises, the volume can be used as a textbook for either undergraduate or first-year graduate courses on computational physics or scientific computation. It will also be a useful reference for anyone involved in computational research.
Customer Reviews:
Computational Physics...more complex than I thought!.......2007-01-09
I have taken only 3 calculus classes at my local college. Differential calculus (rates of change), integral calculus (areas under curves), and matrix/power series calculus (e.g. the taylor series).
Tao Pang introduces a lot of really complex material that is way over my head. But I love to read it anyways, and I highlight the book anyways, because once I _do_ understand what he is talking about in the future, I can go back and say "ooohh right". I mean, I do understand the computing of the integrals and differentiating equations, but it really opens my eyes to see all of these other uses of using using computers to create scientific solutions! It's so much fun to search these concepts up in Wikipedia and Wolfram Mathworld and have them pop up in class.
My goal in life is to become a really good software engineer, or possibly, a really good computational physics scientist dude. The code Tao Pang gives is very precious, and his web site is loaded not only with Java programs but also C and Fortan. I love how he keeps the code short and makes plenty of room in the margins so that I can scribble my own comments and questions. I love how he goes step-by-step with all of the math so you can follow his thinking for a given problem.
What do I not like about this book? Ehh...maybe more pictures would've been nice. But then again, I've always got Google images.
Thorough intro but..........2005-03-25
Altohough I am not a fan of Fortran by any means the book (now that many of the original errors are corrected) is extremely thorough and readable, but be aware this is not necessarily for the neophyte. One MUST have a good knowledge of numerical anlaysis since derivations of relevant formulas is scant. The book's strength lies in the breadth of topics covered, here you will not find the often included "sport physics" chapter as an introduction, rather you are introduced to the most common numerical methods used by scientists when an analytical soultion is not feasible. The book does deal with many problems found int physics from scattering to quantum mechancis and molecular modelling, Monte Carlo methods and some case studies of applied physics e.g the chapter including ground water dynamics. In the last chapters the author wisely introduces symbolic computing using Mathematica as an example and this is applauded as many of us are not willing to reinvent the wheel since there many excellent programs like Maple, MathCad, FemLab etc and an introduction to the like is good. He also discusses parallel computing and this is also welcome as it has gained more prevalent use in computational sciences.
A complaint, since the book claims by its title no less, that it is an introduction to computational physics, there should have been explict chapters on or at least a chapter on Sports Physics, Astronomy, Cellular Automata. That said the case studies on molecular dynamics, nuclear waste storage and chaos are great.
All in all, a solid text but one should be aware of the fact that the author (and to some extent, rightly so) assumes that the reader has a solid grasp of numerical analsyis, calculus and physics. Having said that if you need a really simple and thorough, ground up introduction and haven't taken the aforementioned courses then try Giordano's Computational Physics, be warned if you are like me and can barely tolerate Fortran (I grew up on C/C++) then the True Basic code snippets (for Mac) in Giordano's book will irritate you to no end!!
Average customer rating:
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Computational Methods in Physics, Chemistry and Biology: An Introduction
Paul Harrison
Manufacturer: Wiley
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Computational Physics: An Introduction
ASIN: 0471495638 |
Book Description
Providing an accessible introduction to a range of modern computational techniques, this book is perfect for anyone with only a limited knowledge of physics. It leads readers through a series of examples, problems, and practical-based tasks covering the basics to more complex ideas and techniques. The focus is placed on the dynamic area
of modern physics, helping readers understand the power and uses of computational physics.
- Leads the reader from a basic introduction to more sophisticated techniques
- Provides the skill-building exercises necessary to tackle more complex problems
- Applies essential techniques to a wide range of key problems
Book Description
Lattice Boltzmann models have a remarkable ability to simulate single- and multi-phase fluids and transport processes within them. A rich variety of behaviors, including higher Reynolds numbers flows, phase separation, evaporation, condensation, cavitation, buoyancy, and interactions with surfaces can readily be simulated. This book provides a basic introduction that emphasizes intuition and simplistic conceptualization of processes. It avoids the more difficult mathematics that underlies LB models. The model is viewed from a particle perspective where collisions, streaming, and particle-particle/particle-surface interactions constitute the entire conceptual framework. Beginners and those with more interest in model application than detailed mathematical foundations will find this a powerful "quick start" guide. Example simulations, exercises, and computer codes are included. Working code is provided on the Internet.
Book Description
The importance and the beauty of modern quantum field theory resides in the power and variety of its methods and ideas, which find application in domains as different as particle physics, cosmology, condensed matter, statistical mechanics and critical phenomena. This book introduces the reader to the modern developments, assuming no previous knowledge of quantum field theory. Along with standard topics like Feynman diagrams, the book discusses effective lagrangians, renormalization group equations, the path integral formulation, spontaneous symmetry breaking and non-abelian gauge theories. The inclusion of more advanced topics will also make this a most useful book for graduate students and researchers.
Customer Reviews:
A Wonderful Book For Quickly Learning The Meat Of QFT.......2007-06-13
This book is short and to the point. The author has a good sense for the heart of the subject and how to present it in an efficient way. I would recommend this book to anybody who wants to either a.) learn the meat of QFT quickly or b.) wants a good reference which quickly reviews the most important parts of QFT. Since the technical details are important, I would highly recommend using this book in conjunction with a book with more technical details like the one by Peskin and Schroeder. (However, this book does have a lot of good information for its size.) Reading this book will help catalyze your understanding of the details in a more technical book.
Average customer rating:
- Review from Measurement and Control Volume 37/1 Feb 04
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Computational Physics: An Introduction
Franz J. Vesely
Manufacturer: Springer
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Computational Methods in Physics, Chemistry and Biology: An Introduction
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Computational Physics
ASIN: 0306466317 |
Book Description
The essential point in computational physics is not the use of machines, but the systematic application of numerical techniques in place of, and in addition to, analytical methods, in order to render accessible to computation as large a part of physical reality as possible.
The various available techniques, disparate as they may seem, are traced back to only three main methodological sources; finite difference calculus, linear algebra, and stochastics. Each algorithm is carefully introduced and every computational tool is explained in terms of fundamental numerical techniques. Examples from statistical mechanics, quantum mechanics, and hydrodynamics are employed to bridge the gap between basic methodology and modern research.
This second edition of Franz Vesely's renowned textbook takes into account the new vistas that have opened up recently in this rapidly evolving field. Furthermore, web-based sample programs augment the text.
Customer Reviews:
Review from Measurement and Control Volume 37/1 Feb 04.......2004-03-09
....provides a good working knowledge of the techniques used to solve problems in hydrodynamics, quantum mechanics, and statistical mechanics. To get the most out of the book, the reader should be familiar with vector notation (div, grad and curl), matrix algebra, the theory of ordinary and partial differential equations, and Monte-Carlo simultation techniques. The 2nd edition of Franz Vesely's book includes recent developments in lattice-gas cellular models for hydrodynamics such as the Lattice Boltzmann method. This is an advance on the Frisch, Hasslacher and Pomeau model. The conclusion is that any book attempting to contemporise the field of computational physics will always be worth the expenditure; it not only reaffirms background theory, but also points the way to new ideas and fresh applications. Review by Paul Barker
Book Description
Introduction to Theoretical and Computational Fluid Dynamics is the first textbook to combine theoretical and computational aspects of fluid dynamics in a unified and comprehensive treatment. The theoretical developments are carried into the realm of numerical computation, and the numerical procedures are developed from first principles. This book offers a comprehensive and rigorous introduction to the fundamental principles and equations that govern the kinematics and dynamics of the laminar flow of incompressible Newtonian fluids. It simultaneously illustrates the application of numerical methods to solving a broad range of problems drawn from diverse areas, and discusses the development of pertinent computational algorithms. Topics considered include the description and analysis of flow kinematics; the computation of exact solutions of hydrostatics and hydrodynamics by solving ordinary differential equations; the study and computation of potential flow; the theory and numerical study of flow at low Reynolds numbers, linear hydrodynamic stability, and vortex motion; boundary-integral methods for potential and Stokes flow; and finite-difference methods for the Navier-Stokes equation. An appendix contains a primer of numerical methods that allows for ready reference. A unique synthesis of the theoretical and computational aspects of its field, Introduction to Theoretical and Computational Fluid Dynamics serves as an ideal text and source reference for advanced undergraduate students, graduate students, and researchers in the various fields of science and engineering, including mechanical, aeronautical, and chemical engineering, applied mathematics, physics, and computational science. It assumes no prior experience in computational fluid dynamics, and provides references for specialized topics. Each section is followed by theoretical and computer problems that allow the reader to acquire hands-on experience and simultaneously develop insights into the physics of a variety of flows.
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An Introduction to Linear and Nonlinear Finite Element Analysis: A Computational Approach
Prem Kythe , and
Dongming Wei
Manufacturer: Birkhäuser Boston
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Schaum's Outline of Finite Element Analysis
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Finite Elements of Nonlinear Continua
ASIN: 0817643087 |
Book Description
Although finite element courses have become more popular in the undergraduate and graduate engineering, science, and applied mathematics curricula, there are very few introductory textbooks geared toward students accustomed to using computers for everyday assignments and research. 'An Introduction to Linear and Nonlinear Finite Element Analysis' fills this gap, offering a concise, integrated presentation of methods, applications, computational software tools, and hands-on programming projects. Suitable for junior/senior undergraduate and first-year graduate courses, the book is aimed at students from a variety of disciplines: engineering, physics, geophysics, and applied mathematics.
Unlike existing texts designed with specific applications to a particular field of mechanical, civil, or chemical engineering, the emphasis here is on interdisciplinary applications. One- and two-dimensional linear and nonlinear initial/boundary value problems are solved using finite element, Newton's, and conjugate gradient methods. Mathematical theory is kept to a minimum, making the text accessible to students with varied backgrounds.
Features:
* Software tools using Mathematica, Matlab, Fortran, and commercial finite element codes, such as Ansys, integrated throughout the text
* Numerous examples and exercises with diverse applications to linear and nonlinear heat transfer, fluid flows, mechanical vibrations, electromagnetics, and structures
* Supporting material and selected solutions to problems available at the authors' websites: http://www.math.uno.edu/fac/pkythe.html and http://www.math.uno.edu/fac/dwei.html
* Minimal prerequisites: a course in calculus of several variables, differential equations and linear algebra, as well as some knowledge of computers
Primarily a classroom resource, the book may also be used as a self-study reference for researchers and practitioners who need a quick introduction to finite element methods.
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