Rubin H. Landau's Books

A Survey of Computational Physics

Introductory Computational Science

By: Rubin H. Landau,José Páez,Manuel José Páez Mejía,Cristian C. Bordeianu

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A Survey of Computational Physics

Introductory Computational Science

By: Rubin H. Landau,José Páez,Manuel José Páez Mejía,Cristian C. Bordeianu

This book presents a broad survey of many of the topics that constitute modern computational science. Its view is as a multidisciplinary subject combining aspects of physics, applied mathematics and computer science.

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Page Count

686

Publisher

Princeton University Press

Published Date

ISBN 10

0691131376

ISBN 13

9780691131375

Computational Physics

Problem Solving with Python

By: Rubin H. Landau,Manuel J. Páez,Cristian C. Bordeianu

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Computational Physics

Problem Solving with Python

By: Rubin H. Landau,Manuel J. Páez,Cristian C. Bordeianu

The classic in the field for more than 25 years, now with more emphasis on data science and machine learning Computational physics combines physics, applied mathematics, and computer science in a cutting-edge multidisciplinary approach to solving realistic physical problems. It has become integral to modern physics research because of its capacity to bridge the gap between mathematical theory and real-world system behavior. Computational Physics provides the reader with the essential knowledge to understand computational tools and mathematical methods well enough to be successful. Its philosophy is rooted in “learning by doing”, assisted by many sample programs in the popular Python programming language. The first third of the book lays the fundamentals of scientific computing, including programming basics, stable algorithms for differentiation and integration, and matrix computing. The latter two-thirds of the textbook cover more advanced topics such linear and nonlinear differential equations, chaos and fractals, Fourier analysis, nonlinear dynamics, and finite difference and finite elements methods. A particular focus in on the applications of these methods for solving realistic physical problems. Readers of the fourth edition of Computational Physics will also find: Brand-new chapters on general relativity and the computational physics of soft matter An exceptionally broad range of topics, from simple matrix manipulations to intricate computations in nonlinear dynamics A whole suite of supplementary material: Python programs, Jupyter notebooks and videos Computational Physics is ideal for students in physics, engineering, materials science, and any subjects drawing on applied physics.

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Page Count

597

Publisher

John Wiley & Sons

Published Date

ISBN 10

3527414258

ISBN 13

9783527414253

Computational Problems for Physics

With Guided Solutions Using Python

By: Rubin H. Landau,Manuel José Páez

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Computational Problems for Physics

With Guided Solutions Using Python

By: Rubin H. Landau,Manuel José Páez

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.

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Page Count

435

Publisher

CRC Press

Published Date

ISBN 10

1351784021

ISBN 13

9781351784023

Quantum Mechanics II

A Second Course in Quantum Theory

By: Rubin H. Landau

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Quantum Mechanics II

A Second Course in Quantum Theory

By: Rubin H. Landau

Here is a readable and intuitive quantum mechanics text that covers scattering theory, relativistic quantum mechanics, and field theory. This expanded and updated Second Edition - with five new chapters - emphasizes the concrete and calculable over the abstract and pure, and helps turn students into researchers without diminishing their sense of wonder at physics and nature. As a one-year graduate-level course, Quantum Mechanics II: A Second Course in Quantum Theory leads from quantum basics to basic field theory, and lays the foundation for research-oriented specialty courses. Used selectively, the material can be tailored to create a one-semester course in advanced topics. In either case, it addresses a broad audience of students in the physical sciences, as well as independent readers - whether advanced undergraduates or practicing scientists.

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Page Count

519

Publisher

John Wiley & Sons

Published Date

ISBN 10

3527617442

ISBN 13

9783527617449

Quantum Mechanics II

A Second Course in Quantum Theory

By: Rubin H. Landau

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Quantum Mechanics II

A Second Course in Quantum Theory

By: Rubin H. Landau

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519

Publisher

John Wiley & Sons

Published Date

ISBN 10

3527617442

ISBN 13

9783527617449

A First Course in Scientific Computing

Symbolic, Graphic, and Numeric Modeling Using Maple, Java, Mathematica, and Fortran90

By: Rubin Landau

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A First Course in Scientific Computing

Symbolic, Graphic, and Numeric Modeling Using Maple, Java, Mathematica, and Fortran90

By: Rubin Landau

This book offers a new approach to introductory scientific computing. It aims to make students comfortable using computers to do science, to provide them with the computational tools and knowledge they need throughout their college careers and into their professional careers, and to show how all the pieces can work together. Rubin Landau introduces the requisite mathematics and computer science in the course of realistic problems, from energy use to the building of skyscrapers to projectile motion with drag. He is attentive to how each discipline uses its own language to describe the same concepts and how computations are concrete instances of the abstract. Landau covers the basics of computation, numerical analysis, and programming from a computational science perspective. The first part of the printed book uses the problem-solving environment Maple as its context, with the same material covered on the accompanying CD as both Maple and Mathematica programs; the second part uses the compiled language Java, with equivalent materials in Fortran90 on the CD; and the final part presents an introduction to LaTeX replete with sample files. Providing the essentials of computing, with practical examples, A First Course in Scientific Computing adheres to the principle that science and engineering students learn computation best while sitting in front of a computer, book in hand, in trial-and-error mode. Not only is it an invaluable learning text and an essential reference for students of mathematics, engineering, physics, and other sciences, but it is also a consummate model for future textbooks in computational science and engineering courses. A broad spectrum of computing tools and examples that can be used throughout an academic career Practical computing aimed at solving realistic problems Both symbolic and numerical computations A multidisciplinary approach: science + math + computer science Maple and Java in the book itself; Mathematica, Fortran90, Maple and Java on the accompanying CD in an interactive workbook format

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Page Count

506

Publisher

Princeton University Press

Published Date

ISBN 10

1400841178

ISBN 13

9781400841172

Computational Physics

Problem Solving with Python

By: Rubin H. Landau,Manuel J. Páez,Cristian C. Bordeianu

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Computational Physics

Problem Solving with Python

By: Rubin H. Landau,Manuel J. Páez,Cristian C. Bordeianu

The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming. This upper-division text provides an unusually broad survey of the topics of modern computational physics from a multidisciplinary, computational science point of view. Its philosophy is rooted in learning by doing (assisted by many model programs), with new scientific materials as well as with the Python programming language. Python has become very popular, particularly for physics education and large scientific projects. It is probably the easiest programming language to learn for beginners, yet is also used for mainstream scientific computing, and has packages for excellent graphics and even symbolic manipulations. The text is designed for an upper-level undergraduate or beginning graduate course and provides the reader with the essential knowledge to understand computational tools and mathematical methods well enough to be successful. As part of the teaching of using computers to solve scientific problems, the reader is encouraged to work through a sample problem stated at the beginning of each chapter or unit, which involves studying the text, writing, debugging and running programs, visualizing the results, and the expressing in words what has been done and what can be concluded. Then there are exercises and problems at the end of each chapter for the reader to work on their own (with model programs given for that purpose).

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Page Count

647

Publisher

John Wiley & Sons

Published Date

ISBN 10

3527413154

ISBN 13

9783527413157

Computational Problems for Physics

With Guided Solutions Using Python

By: Rubin H. Landau,Manuel Jos Pez

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Computational Problems for Physics

With Guided Solutions Using Python

By: Rubin H. Landau,Manuel Jos Pez

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 Medell¿ Colombia.

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Solve jigsaw puzzle

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Page Count

389

Publisher

CRC Press

Published Date

ISBN 10

1138705411

ISBN 13

9781138705418

Book's by Rubin H. Landau

A Survey of Computational Physics

A Survey of Computational Physics

Computational Physics

Computational Physics

Computational Problems for Physics

Computational Problems for Physics

Quantum Mechanics II

Quantum Mechanics II

Quantum Mechanics II

Quantum Mechanics II

A First Course in Scientific Computing

A First Course in Scientific Computing

Computational Physics

Computational Physics

Computational Problems for Physics

Computational Problems for Physics

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