eBook downloads, eBook resources & eBook authors
GRE Physics practice questions with the most complete explanations and step-by-step solutions. Over 1,300 practice questions cover the following physics topics tested on the GRE Physics: ∙ Kinematics & dynamics ∙ Force, motion, gravitation ∙ Equilibrium and momentum ∙ Work & energy ∙ Waves & periodic motion ∙ Sound ∙ Fluids & solids ∙ Light & optics ∙ Heat & thermodynamics ∙ Electrostatics & electromagnetism ∙ Electric circuits ∙ Atomic & nuclear physics ∙ Quantum mechanics ∙ Special relativity ∙ Laboratory methods To achieve a GRE Physics score, you need to develop skills to properly apply the knowledge you have and quickly choose the correct answer. You must solve numerous practice questions that represent the style and content of the GRE Physics. This GRE Physics prep book contains over 1,300 practice questions with detailed explanations and step-by-step solutions. It is the most complete and comprehensive study tool that will teach you how to approach and solve a multitude of physics problems. This book consists of: - 12 diagnostic tests to help you identify your strengths and weaknesses to optimize your preparation strategy - topical practice question sets to drill down on each topic from a variety of angles and formula applications - test-taking strategies to maximize your performance on the test day - sheets of formulae, equations, variables and units to know for each topic The practice questions that comprise this book will help you to: - master important GRE Physics topics - assess your knowledge of topics tested on the GRE Physics - improve your test-taking skills - prepare for the test comprehensively and cost effectively All the questions in this book are prepared by physics instructors with years of experience in applied physics, as well as in academic settings. This team of physics experts analyzed the content of the test, released by the ETS, and designed practice questions that will help you build knowledge and develop the skills necessary for your success on the test. The questions were reviewed for quality and effectiveness by our science editors who possess extensive credentials, are educated in top colleges and universities, and have years of teaching and editorial experience.
This book provides an accessible introduction to loop quantum gravity and some of its applications, at a level suitable for undergraduate students and others with only a minimal knowledge of college level physics. In particular it is not assumed that the reader is familiar with general relativity and only minimally familiar with quantum mechanics and Hamiltonian mechanics. Most chapters end with problems that elaborate on the text, and aid learning. Applications such as loop quantum cosmology, black hole entropy and spin foams are briefly covered. The text is ideally suited for an undergraduate course in the senior year of a physics major. It can also be used to introduce undergraduates to general relativity and quantum field theory as part of a 'special topics' type of course.
Changes and additions to the new edition of this classic textbook include a new chapter on symmetries, new problems and examples, improved explanations, more numerical problems to be worked on a computer, new applications to solid state physics, and consolidated treatment of time-dependent potentials.
A study aid for senior and graduate level students needing a review of undergraduate physics. Covers a broad range of topics, with carefully worked examples illustrating important problem-solving methods. A collection of self-test problems helps students prepare for the College Entrance Advanced Physics Examination and the Qualifying Written Examination for the PhD.
Description of research on the subject for researchers, and for advanced undergraduate and graduate courses in mathematical physics.
GRE Chemistry bestseller! Thousands of test-takers use Sterling Test Prep to achieve high scores. High yield practice questions with detailed explanations for topics tested on GRE Physics.
Providing a broad review of many techniques and their application to condensed matter systems, this book begins with a review of thermodynamics and statistical mechanics, before moving onto real and imaginary time path integrals and the link between Euclidean quantum mechanics and statistical mechanics. A detailed study of the Ising, gauge-Ising and XY models is included. The renormalization group is developed and applied to critical phenomena, Fermi liquid theory and the renormalization of field theories. Next, the book explores bosonization and its applications to one-dimensional fermionic systems and the correlation functions of homogeneous and random-bond Ising models. It concludes with Bohm–Pines and Chern–Simons theories applied to the quantum Hall effect. Introducing the reader to a variety of techniques, it opens up vast areas of condensed matter theory for both graduate students and researchers in theoretical, statistical and condensed matter physics.
Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications. Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you. Use graphics to describe data with one, two, or dozens of variables Develop conceptual models using back-of-the-envelope calculations, as well asscaling and probability arguments Mine data with computationally intensive methods such as simulation and clustering Make your conclusions understandable through reports, dashboards, and other metrics programs Understand financial calculations, including the time-value of money Use dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situations Become familiar with different open source programming environments for data analysis "Finally, a concise reference for understanding how to conquer piles of data."--Austin King, Senior Web Developer, Mozilla "An indispensable text for aspiring data scientists."--Michael E. Driscoll, CEO/Founder, Dataspora
