Simple Harmonic Motion Advanced Level Physics GCE (Easy JavaScript Simulation) 2/2: 20170720 version PDF Download

Author: Lawrence
Publisher: Open Source Physics Singapore
ISBN:
Category : Science
Languages : en
Pages : 135

View

Book Description
This interactive Oscillators Advanced Level Physics chapter textbook works on both Android and iOS, offering a gorgeous, full-screen experience full of interactive simulations, animated pictures and static photos, and links to videos on Youtube. No longer limited to static pictures to illustrate the text, now students can play and conduct mathematical modeling pedagogy developed by the Author using the Open Source Physics/Easy JavaScript Simulations. They can flip through a book by simply sliding a finger along the bottom of the screen. Highlighting text, taking notes, searching for content, and finding definitions in the glossary are just as easy. And with all their books on a single device, students will have no problem carrying them wherever they go. The content are orginally based on lectures notes from Yishun Junior College, Singapore. photo from Leong T. K.. The content are licensed Creative Commons Attribution ShareALike CC-BY-SA, and the Open Source Physics/Easy JavaScript Simulations are licensed Creative Commons Attribution ShareALike Non-commercial CC-BY-SA-NC. If you are having problem getting this interactive textbook, try this link http://iwant2study.org/ospsg/index.php/154

Author: Rick Wicklin
Publisher: SAS Institute
ISBN: 1612903320
Category : Computers
Languages : en
Pages : 363

View

Book Description
Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and statistical programmers. This book discusses in detail how to simulate data from common univariate and multivariate distributions, and how to use simulation to evaluate statistical techniques. It also covers simulating correlated data, data for regression models, spatial data, and data with given moments. It provides tips and techniques for beginning programmers, and offers libraries of functions for advanced practitioners. As the first book devoted to simulating data across a range of statistical applications, Simulating Data with SAS is an essential tool for programmers, analysts, researchers, and students who use SAS software. This book is part of the SAS Press program.

Author: Claudius Ptolemaeus
Publisher: Lee & Seshia
ISBN: 1304421066
Category : Computers
Languages : en
Pages : 687

View

Book Description
This book is a definitive introduction to models of computation for the design of complex, heterogeneous systems. It has a particular focus on cyber-physical systems, which integrate computing, networking, and physical dynamics. The book captures more than twenty years of experience in the Ptolemy Project at UC Berkeley, which pioneered many design, modeling, and simulation techniques that are now in widespread use. All of the methods covered in the book are realized in the open source Ptolemy II modeling framework and are available for experimentation through links provided in the book. The book is suitable for engineers, scientists, researchers, and managers who wish to understand the rich possibilities offered by modern modeling techniques. The goal of the book is to equip the reader with a breadth of experience that will help in understanding the role that such techniques can play in design.

Author: Robert E. Keen
Publisher: Wiley-Liss
ISBN:
Category : Science
Languages : en
Pages : 524

View

Book Description
Role of modeling and computer simulation in biology; Simple model equations; Analytical models based on differential equations; Analytical models based on stable states; Estimating model coefficients from experimental data; Planning and problems of programming; Numerical solution of rate equations; Models with multiple components; Kinetics of biochemical reactions; Models of homogeneous populations of organisms; Simple models of microbial growth; Population models based on age-specific events; Simulations of population genetics; Models of light and photosynthesis; Temperature and biological activity; Compartmental models of biogeochemical cycling; Diffusion models; Compartmental models in Physiology; Application of matrix methods to simulations; Physiological control systems; Probabilistic models; Monte Carlo modeling of simple stochastic processes; Modeling of sampling processes; Random walks and related stochastic processes; Markov chain simulations in biology; Supplementary models; Models of cellular function; Models of development and morphogenesis; Models of epidemics; Appendixes; Literature cited; Index.

Author: Gerald Jay Sussman
Publisher: MIT Press
ISBN: 0262028964
Category : Science
Languages : en
Pages : 580

View

Book Description
The new edition of a classic text that concentrates on developing general methods for studying the behavior of classical systems, with extensive use of computation. We now know that there is much more to classical mechanics than previously suspected. Derivations of the equations of motion, the focus of traditional presentations of mechanics, are just the beginning. This innovative textbook, now in its second edition, concentrates on developing general methods for studying the behavior of classical systems, whether or not they have a symbolic solution. It focuses on the phenomenon of motion and makes extensive use of computer simulation in its explorations of the topic. It weaves recent discoveries in nonlinear dynamics throughout the text, rather than presenting them as an afterthought. Explorations of phenomena such as the transition to chaos, nonlinear resonances, and resonance overlap to help the student develop appropriate analytic tools for understanding. The book uses computation to constrain notation, to capture and formalize methods, and for simulation and symbolic analysis. The requirement that the computer be able to interpret any expression provides the student with strict and immediate feedback about whether an expression is correctly formulated. This second edition has been updated throughout, with revisions that reflect insights gained by the authors from using the text every year at MIT. In addition, because of substantial software improvements, this edition provides algebraic proofs of more generality than those in the previous edition; this improvement permeates the new edition.

Author: Walter W. Stroup
Publisher: CRC Press
ISBN: 1439815135
Category : Mathematics
Languages : en
Pages : 547

View

Book Description
With numerous examples using SAS PROC GLIMMIX, this text presents an introduction to linear modeling using the generalized linear mixed model as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers must consider.

Author: Harvey Gould
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 412

View

Book Description

Author: Granino A. Korn
Publisher: CRC Press
ISBN: 1439836434
Category : Mathematics
Languages : en
Pages : 220

View

Book Description
Showing you how to use personal computers for modeling and simulation, Interactive Dynamic-System Simulation, Second Edition provides a practical tutorial on interactive dynamic-system modeling and simulation. It discusses how to effectively simulate dynamical systems, such as aerospace vehicles, power plants, chemical processes, control systems, a

Author: Jaime S. Sichman
Publisher: Springer
ISBN: 3540364838
Category : Computers
Languages : en
Pages : 204

View

Book Description
This volume presents extended and revised versions of the papers presented at the Third International Workshop on Multi-Agent Based Simulation (MABS 2002), a workshop federated with the First International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2002), which was held in Bologna, Italy, in July, 2002. This workshop was the third in the MABS series. The earlier two were - ganized as workshops of the two most recent ICMAS conferences (ICMAS 1998, Paris, France and ICMAS 2000, Boston, USA). Revised versions of the papers presented at these workshops were published as volumes 1534 and 1979 in the Lecture Notes in Arti?cial Intelligence series. One aim of the workshop was to develop stronger links between those wo- ing in the social sciences and those involved with multi-agent systems. We are pleased to note that many important conferences in various disciplines such as geography, economics, ecology, sociology, and physics have hosted workshops on MABS-related topics and that many respected journals publish papers that - clude elements of MABS. But although MABS is gradually acquiring legitimacy in many disciplinary ?elds, much remains to be done to clarify the potential use of MABS in these disciplines. Researchers from these disciplines have di?erent points of view on issues such as time-frame, space, geographical scales, or- nizational levels, etc. Moreover, the interest in MABS goes beyond the scienti?c community, as MABS models have been developed and used interactively with other communities as well.

Author: Manuel D. Rossetti
Publisher: John Wiley & Sons
ISBN: 111885814X
Category : Mathematics
Languages : en
Pages : 746

View

Book Description
Emphasizes a hands-on approach to learning statistical analysis and model building through the use of comprehensive examples, problems sets, and software applications With a unique blend of theory and applications, Simulation Modeling and Arena®, Second Edition integrates coverage of statistical analysis and model building to emphasize the importance of both topics in simulation. Featuring introductory coverage on how simulation works and why it matters, the Second Edition expands coverage on static simulation and the applications of spreadsheets to perform simulation. The new edition also introduces the use of the open source statistical package, R, for both performing statistical testing and fitting distributions. In addition, the models are presented in a clear and precise pseudo-code form, which aids in understanding and model communication. Simulation Modeling and Arena, Second Edition also features: Updated coverage of necessary statistical modeling concepts such as confidence interval construction, hypothesis testing, and parameter estimation Additional examples of the simulation clock within discrete event simulation modeling involving the mechanics of time advancement by hand simulation A guide to the Arena Run Controller, which features a debugging scenario New homework problems that cover a wider range of engineering applications in transportation, logistics, healthcare, and computer science A related website with an Instructor’s Solutions Manual, PowerPoint® slides, test bank questions, and data sets for each chapter Simulation Modeling and Arena, Second Edition is an ideal textbook for upper-undergraduate and graduate courses in modeling and simulation within statistics, mathematics, industrial and civil engineering, construction management, business, computer science, and other departments where simulation is practiced. The book is also an excellent reference for professionals interested in mathematical modeling, simulation, and Arena.