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Numerical Methods in Physics with Python
Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.
Step by Step
The street riots that swept through France in the fall of 2005 focused worldwide attention on the plight of the country's immigrants and their living conditions in the suburbs many of them call home. These high-density neighborhoods were constructed according to the principles of functionalist urbanism that were ascendant in the 1960s. Then, as now, the disparities between the planners' utopian visions and the experiences of the inhabitants raised concerns, generating a number of sociological studies of the "new towns." One of the most sophisticated and significant of these critiques is Jean-François Augoyard's Step by Step, which was originally published in France in 1979 and famously infl...
Advanced Programming in the UNIX Environment
For more than twenty years, serious C programmers have relied on one book for practical, in-depth knowledge of the programming interfaces that drive the UNIX and Linux kernels: W. Richard Stevens’ Advanced Programming in the UNIX® Environment. Now, once again, Rich’s colleague Steve Rago has thoroughly updated this classic work. The new third edition supports today’s leading platforms, reflects new technical advances and best practices, and aligns with Version 4 of the Single UNIX Specification. Steve carefully retains the spirit and approach that have made this book so valuable. Building on Rich’s pioneering work, he begins with files, directories, and processes, carefully laying t...
Condensed Matter Field Theory
Modern experimental developments in condensed matter and ultracold atom physics present formidable challenges to theorists. This book provides a pedagogical introduction to quantum field theory in many-particle physics, emphasizing the applicability of the formalism to concrete problems. This second edition contains two new chapters developing path integral approaches to classical and quantum nonequilibrium phenomena. Other chapters cover a range of topics, from the introduction of many-body techniques and functional integration, to renormalization group methods, the theory of response functions, and topology. Conceptual aspects and formal methodology are emphasized, but the discussion focuses on practical experimental applications drawn largely from condensed matter physics and neighboring fields. Extended and challenging problems with fully worked solutions provide a bridge between formal manipulations and research-oriented thinking. Aimed at elevating graduate students to a level where they can engage in independent research, this book complements graduate level courses on many-particle theory.
Bulk Nuclear Properties
This workshop series was established to explore the theoretical motivations for the Facility of Rare Isotope Beams. This specific workshop focused on bulk nuclear quantities and included discussions of nuclear masses, ab-initio nuclear structure, nuclear energy functional, giant resonances, nuclear matter, nuclear equation of state, central collisions and neutron stars.
An Introduction to Python Programming for Scientists and Engineers
Textbook that uses examples and Jupyter notebooks from across the sciences and engineering to teach Python programming.
An Introduction to Computational Physics
This advanced textbook provides an introduction to the basic methods of computational physics.
Numerical Python
Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more. Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python...
Numerical Analysis for Engineers and Scientists
A graduate-level introduction balancing theory and application, providing full coverage of classical methods with many practical examples and demonstration programs.
Quantum Theory, Groups and Representations
This text systematically presents the basics of quantum mechanics, emphasizing the role of Lie groups, Lie algebras, and their unitary representations. The mathematical structure of the subject is brought to the fore, intentionally avoiding significant overlap with material from standard physics courses in quantum mechanics and quantum field theory. The level of presentation is attractive to mathematics students looking to learn about both quantum mechanics and representation theory, while also appealing to physics students who would like to know more about the mathematics underlying the subject. This text showcases the numerous differences between typical mathematical and physical treatment...
