Physics for Scientists and Engineers


Douglas C. Giancoli - 1988
    For the calculus-based General Physics course primarily taken by engineers and scientists.

Combinatorial Optimization: Algorithms and Complexity


Christos H. Papadimitriou - 1998
    All chapters are supplemented by thought-provoking problems. A useful work for graduate-level students with backgrounds in computer science, operations research, and electrical engineering. "Mathematicians wishing a self-contained introduction need look no further." — American Mathematical Monthly.

Social and Economic Networks


Matthew O. Jackson - 2008
    The many aspects of our lives that are governed by social networks make it critical to understand how they impact behavior, which network structures are likely to emerge in a society, and why we organize ourselves as we do. In Social and Economic Networks, Matthew Jackson offers a comprehensive introduction to social and economic networks, drawing on the latest findings in economics, sociology, computer science, physics, and mathematics. He provides empirical background on networks and the regularities that they exhibit, and discusses random graph-based models and strategic models of network formation. He helps readers to understand behavior in networked societies, with a detailed analysis of learning and diffusion in networks, decision making by individuals who are influenced by their social neighbors, game theory and markets on networks, and a host of related subjects. Jackson also describes the varied statistical and modeling techniques used to analyze social networks. Each chapter includes exercises to aid students in their analysis of how networks function.This book is an indispensable resource for students and researchers in economics, mathematics, physics, sociology, and business.

Intuitive Biostatistics


Harvey Motulsky - 1995
    Intuitive Biostatistics covers all the topics typically found in an introductory statistics text, but with the emphasis on confidence intervals rather than P values, making it easier for students to understand both. Additionally, it introduces a broad range of topics left out of most other introductory texts but used frequently in biomedical publications, including survival curves. multiple comparisons, sensitivity and specificity of lab tests, Bayesian thinking, lod scores, and logistic, proportional hazards and nonlinear regression. By emphasizing interpretation rather than calculation, this text provides a clear and virtually painless introduction to statistical principles for those students who will need to use statistics constantly in their work. In addition, its practical approach enables readers to understand the statistical results published in biological and medical journals.

Quantum Physics Made Easy: The Introduction Guide For Beginners Who Flunked Maths And Science In Plain Simple English


Donald B. Grey - 2019
     99.99% of the world’s mysteries are yet to be discovered and/or solved. Why not… It’s time for you to rediscover science? One of the most compelling draws of the sciences for many people is the potential of discovering something that was not known before. Whether someone’s doing it for fame, for fortune, or just for the fun of it, discovering something new, leaving your own personal mark for the rest of humanity’s time in the universe, is a tempting prospect for many. How would you feel about naming a star, and for others to know that you named it? That star would be visible in the sky for the rest of your lifetime, and more than likely for your great-great-great-grandchildren’s lifetimes. Your discovery would be immortalized above for the life of the star. Inside this book you will discover: -String theory and how it came about -Black holes and quantum gravity -If Schrödinger’s Cat is really a cat? -Disagreements between Einstein and Bohr -The double slit experiment Attention! Quantum Physics is NOT for everyone! This book is not for people: -Who doesn’t want to impress their girl with science -Who are not curious about the universe -Who isn’t inspired to name their own science theory If you are ready to learn about quantum physics, Scroll Up And Click On The “BUY NOW” Button Now!

MCSE Self-Paced Training Kit (Exams 70-290, 70-291, 70-293, 70-294): Microsoft Windows Server 2003 Core Requirements


Dan HolmeMelissa Craft - 2003
    Maybe you re going for MCSA first, then MCSE. Maybe you need to upgrade your current credentials. Now, direct from Microsoft, this set brings together all the study resources you ll need. You get the brand-new Second Edition of all four books: for Exam 70-290 (Managing and Maintaining a Windows Server Environment), 70-291 and 70-293 (Network Infrastructure), and 70-294 (Active Directory). What s new here? Deeper coverage, more case studies, more troubleshooting, plus significant new coverage: Emergency Management Services, DNS, WSUS, Post-Setup Security Updates, traffic monitoring, Network Access Quarantine Control, and much more. There are more than 1,200 highly customizable CD-based practice questions. And, for those who don t have easy acess to Windows Server 2003, there s a 180-day eval version. This package isn t cheap, but there s help there, too: 15% discount coupons good toward all four exams. Bill Camarda, from the August 2006 href="http://www.barnesandnoble.com/newslet... Only

Igniting the Sixth Sense: The Lost Human Sensory that Holds the Key to Spiritual Awakening and Unlocking the Power of the Universe


Eric Pepin - 2013
     Is it possible to: - Influence reality with the power of thought? - Push into the universal mind, vastly increasing your intelligence? - Easily reach peak states for real, breakthrough spiritual experiences? Indeed and much more. This is not just another fuzzy New Age book about a magical, vague 'sixth sense'. Igniting the Sixth Sense deals with the magnetic sense that allows birds, whales, bees and many other animals to detect and use magnetic fields in ways that seem impossible for humans. Yet, we possess this same natural ability. What happens if you combine a modern human with an active, magnetic sensory? They display skills and abilities that seem, at times, super-human. Eric Pepin, the #1 spiritual Amazon bestselling author of Meditation within Eternity and The Handbook of the Navigator, takes you on a journey where you will discover: * How to access a larger memory beyond your own; the Akashic Records * Discover the method of magnetic prana attraction that makes the entire Universe react to who you are and what you want * How to enhance every mind, body and spiritual technique you practice. Including meditation, martial arts and more * The 15 minute miracle that gives you nearly unlimited amounts of energy * How to create a 'psychic buffer' so you aren't overwhelmed, harmed or influenced by the energy and thoughts of others * Learn the secret to programming your own energy field And that's just the beginning. There are 280 pages worth, packed with in-depth knowledge and effective techniques you can easily apply. It's all here, and it works.

Remnant


L.D. Whitney - 2020
    An expedition is mounted to the deepest parts of the Amazon in search of the unknown. A team of researchers travels down remote tributaries and treks through dense jungle terrain in search of creatures long thought to be extinct. It isn’t long before they realize that certain remnants of the primeval past have managed to survive into current times.

Real Analysis


H.L. Royden - 1963
    Dealing with measure theory and Lebesque integration, this is an introductory graduate text.

Neural Networks: A Comprehensive Foundation


Simon Haykin - 1994
    Introducing students to the many facets of neural networks, this text provides many case studies to illustrate their real-life, practical applications.

Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists


Philipp K. Janert - 2010
    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 variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysisFinally, a concise reference for understanding how to conquer piles of data.--Austin King, Senior Web Developer, MozillaAn indispensable text for aspiring data scientists.--Michael E. Driscoll, CEO/Founder, Dataspora

Cybernetics: or the Control and Communication in the Animal and the Machine


Norbert Wiener - 1948
    It is a ‘ must’ book for those in every branch of science . . . in addition, economists, politicians, statesmen, and businessmen cannot afford to overlook cybernetics and its tremendous, even terrifying implications. "It is a beautifully written book, lucid, direct, and despite its complexity, as readable by the layman as the trained scientist." -- John B. Thurston, "The Saturday Review of Literature" Acclaimed one of the "seminal books . . . comparable in ultimate importance to . . . Galileo or Malthus or Rousseau or Mill," "Cybernetics" was judged by twenty-seven historians, economists, educators, and philosophers to be one of those books published during the "past four decades", which may have a substantial impact on public thought and action in the years ahead." -- Saturday Review

Statistical Rethinking: A Bayesian Course with Examples in R and Stan


Richard McElreath - 2015
    Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

Understanding Digital Signal Processing


Richard G. Lyons - 1996
    This second edition is appropriate as a supplementary (companion) text for any college-level course covering digital signal processing.

Networks, Crowds, and Markets


David Easley - 2010
    This connectedness is found in many incarnations: in the rapid growth of the Internet, in the ease with which global communication takes place, and in the ability of news and information as well as epidemics and financial crises to spread with surprising speed and intensity. These are phenomena that involve networks, incentives, and the aggregate behavior of groups of people; they are based on the links that connect us and the ways in which our decisions can have subtle consequences for others. This introductory undergraduate textbook takes an interdisciplinary look at economics, sociology, computing and information science, and applied mathematics to understand networks and behavior. It describes the emerging field of study that is growing at the interface of these areas, addressing fundamental questions about how the social, economic, and technological worlds are connected.