Elementary Mechanics Using Python PDF Download

Elementary Mechanics Using Python PDF
Author: Anders Malthe-Sørenssen
Publisher: Springer
ISBN: 3319195964
Size: 73.94 MB
Format: PDF, Mobi
Category : Science
Languages : en
Pages : 590
View: 3673

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Elementary Mechanics Using Python Book Description:

This book – specifically developed as a novel textbook on elementary classical mechanics – shows how analytical and numerical methods can be seamlessly integrated to solve physics problems. This approach allows students to solve more advanced and applied problems at an earlier stage and equips them to deal with real-world examples well beyond the typical special cases treated in standard textbooks. Another advantage of this approach is that students are brought closer to the way physics is actually discovered and applied, as they are introduced right from the start to a more exploratory way of understanding phenomena and of developing their physical concepts. While not a requirement, it is advantageous for the reader to have some prior knowledge of scientific programming with a scripting-type language. This edition of the book uses Python, and a chapter devoted to the basics of scientific programming with Python is included. A parallel edition using Matlab instead of Python is also available. Last but not least, each chapter is accompanied by an extensive set of course-tested exercises and solutions.

Elementary Mechanics Using Matlab PDF Download

Elementary Mechanics Using Matlab PDF
Author: Anders Malthe-Sørenssen
Publisher: Springer
ISBN: 3319195875
Size: 74.59 MB
Format: PDF, Docs
Category : Science
Languages : en
Pages : 590
View: 6711

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Elementary Mechanics Using Matlab Book Description:

This book – specifically developed as a novel textbook on elementary classical mechanics – shows how analytical and numerical methods can be seamlessly integrated to solve physics problems. This approach allows students to solve more advanced and applied problems at an earlier stage and equips them to deal with real-world examples well beyond the typical special cases treated in standard textbooks. Another advantage of this approach is that students are brought closer to the way physics is actually discovered and applied, as they are introduced right from the start to a more exploratory way of understanding phenomena and of developing their physical concepts. While not a requirement, it is advantageous for the reader to have some prior knowledge of scientific programming with a scripting-type language. This edition of the book uses Matlab, and a chapter devoted to the basics of scientific programming with Matlab is included. A parallel edition using Python instead of Matlab is also available. Last but not least, each chapter is accompanied by an extensive set of course-tested exercises and solutions.

Dynamical Systems With Applications Using Python PDF Download

Dynamical Systems with Applications using Python PDF
Author: Stephen Lynch
Publisher: Springer
ISBN: 3319781456
Size: 19.60 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 665
View: 4575

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Dynamical Systems With Applications Using Python Book Description:

This textbook provides a broad introduction to continuous and discrete dynamical systems. With its hands-on approach, the text leads the reader from basic theory to recently published research material in nonlinear ordinary differential equations, nonlinear optics, multifractals, neural networks, and binary oscillator computing. Dynamical Systems with Applications Using Python takes advantage of Python’s extensive visualization, simulation, and algorithmic tools to study those topics in nonlinear dynamical systems through numerical algorithms and generated diagrams. After a tutorial introduction to Python, the first part of the book deals with continuous systems using differential equations, including both ordinary and delay differential equations. The second part of the book deals with discrete dynamical systems and progresses to the study of both continuous and discrete systems in contexts like chaos control and synchronization, neural networks, and binary oscillator computing. These later sections are useful reference material for undergraduate student projects. The book is rounded off with example coursework to challenge students’ programming abilities and Python-based exam questions. This book will appeal to advanced undergraduate and graduate students, applied mathematicians, engineers, and researchers in a range of disciplines, such as biology, chemistry, computing, economics, and physics. Since it provides a survey of dynamical systems, a familiarity with linear algebra, real and complex analysis, calculus, and ordinary differential equations is necessary, and knowledge of a programming language like C or Java is beneficial but not essential.

Linear Algebra Signal Processing And Wavelets A Unified Approach PDF Download

Linear Algebra  Signal Processing  and Wavelets   A Unified Approach PDF
Author: Øyvind Ryan
Publisher: Springer
ISBN: 3030018121
Size: 59.48 MB
Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 360
View: 3680

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Linear Algebra Signal Processing And Wavelets A Unified Approach Book Description:

This book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and applications. The approach is novel, and the book can be used in undergraduate courses, for example, following a first course in linear algebra, but is also suitable for use in graduate level courses. The book will benefit anyone with a basic background in linear algebra. It defines fundamental concepts in signal processing and wavelet theory, assuming only a familiarity with elementary linear algebra. No background in signal processing is needed. Additionally, the book demonstrates in detail why linear algebra is often the best way to go. Those with only a signal processing background are also introduced to the world of linear algebra, although a full course is recommended. The book comes in two versions: one based on MATLAB, and one on Python, demonstrating the feasibility and applications of both approaches. Most of the MATLAB code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a computational nature.

Computational Problems For Physics PDF Download

Computational Problems for Physics PDF
Author: Rubin H. Landau
Publisher: CRC Press
ISBN: 1351784021
Size: 35.55 MB
Format: PDF, ePub
Category : Science
Languages : en
Pages : 390
View: 3445

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Computational Problems For Physics Book Description:

Our future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses, this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages (Mathematica, Java, C, Fortran, and Maple). It’s also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem. Readers also benefit from the following features: • Detailed explanations and solutions in various coding languages. • Problems are ranked based on computational and physics difficulty. • Basics of numerical methods covered in an introductory chapter. • Programming guidance via flowcharts and pseudocode. Rubin Landau is a Distinguished Professor Emeritus in the Department of Physics at Oregon State University in Corvallis and a Fellow of the American Physical Society (Division of Computational Physics). Manuel Jose Paez-Mejia is a Professor of Physics at Universidad de Antioquia in Medellín, Colombia.

Hands On Quantum Information Processing With Python PDF Download

Hands On Quantum Information Processing with Python PDF
Author: Dr. Makhamisa Senekane
Publisher: Packt Publishing Ltd
ISBN: 1800205724
Size: 42.30 MB
Format: PDF
Category : Computers
Languages : en
Pages : 252
View: 234

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Hands On Quantum Information Processing With Python Book Description:

Quantum computers have the potential to efficiently solve problems that are otherwise unmanageable for classical computers. This book takes a hands-on approach to help you explore the foundation of quantum information processing as well as associated methodologies and implementations to enable you to be productive in no time.