Based on B. P. Lathi's widely used book, Linear Systems and Signals, it features additional applications to communications, controls, and filtering as well as new chapters on analog and digital filters and digital signal processing. Lathi emphasizes the physical appreciation of concepts rather than the mere mathematical manipulation of symbols. Avoiding the tendency to treat engineering as a branch of applied mathematics, he uses mathematics to enhance physical and intuitive understanding of concepts, instead of employing it only to prove axiomatic theory. Theoretical results are supported by carefully chosen examples and analogies, allowing students to intuitively discover meaning for themselves.

    Traditional mathematics teaching is largely about solving exactly stated problems exactly, yet life often hands us partly defined problems needing only moderately accurate solutions. This engaging book is an antidote to the rigor mortis brought on by too much mathematical rigor, teaching us how to guess answers without needing a proof or an exact calculation.In Street-Fighting Mathematics, Sanjoy Mahajan builds, sharpens, and demonstrates tools for educated guessing and down-and-dirty, opportunistic problem solving across diverse fields of knowledge--from mathematics to management. Mahajan describes six tools: dimensional analysis, easy cases, lumping, picture proofs, successive approximation, and reasoning by analogy. Illustrating each tool with numerous examples, he carefully separates the tool--the general principle--from the particular application so that the reader can most easily grasp the tool itself to use on problems of particular interest. Street-Fighting Mathematics grew out of a short course taught by the author at MIT for students ranging from first-year undergraduates to graduate students ready for careers in physics, mathematics, management, electrical engineering, computer science, and biology. They benefited from an approach that avoided rigor and taught them how to use mathematics to solve real problems.Street-Fighting Mathematics will appear in print and online under a Creative Commons Noncommercial Share Alike license.

    This report provides a brief yet comprehensive introduction to Python for engineers, researchers, and data scientists who are already familiar with another programming language.Author Jake VanderPlas, an interdisciplinary research director at the University of Washington, explains Python’s essential syntax and semantics, built-in data types and structures, function definitions, control flow statements, and more, using Python 3 syntax.You’ll explore:- Python syntax basics and running Python codeBasic semantics of Python variables, objects, and operators- Built-in simple types and data structures- Control flow statements for executing code blocks conditionally- Methods for creating and using reusable functionsIterators, list comprehensions, and generators- String manipulation and regular expressions- Python’s standard library and third-party modules- Python’s core data science tools- Recommended resources to help you learn more

    The text covers the basic principles and equations of fluid mechanics in the context of numerous and diverse real-world engineering examples. The text helps students develop an intuitive understanding of fluid mechanics by emphasizing the physics, and by supplying attractive figures, numerous photographs and visual aids to reinforce the physics.

    Prepare yourself for a distinctively Russian cauldron of artistry and history, nightclubs and vibrant street life. Mara Vorhees, Lonely Planet Writer Our PromiseYou can trust our travel information because Lonely Planet authors visit the places we write about, each and every edition. We never accept freebies for positive coverage so you can rely on us to tell it like it is.Inside This Book 80 art galleries & museums59 bars and cafes reviewed28 kremlins, cathedrals & palaces11 revamped exhibitions & art spaces2 banyas to get naked & sweat inComprehensive map sectionFeature coverage of top sightsRange of planning toolsIn-depth background on Russian art, architecture & literature

    Bayesian statistics is taught in most first-year statistics classes across the nation, but there is one major problem that many students (and others who are interested in the theorem) face. The theorem is not intuitive for most people, and understanding how it works can be a challenge, especially because it is often taught without visual aids. In this guide, we unpack the various components of the theorem and provide a basic overview of how it works - and with illustrations to help. Three scenarios - the flu, breathalyzer tests, and peacekeeping - are used throughout the booklet to teach how problems involving Bayes Theorem can be approached and solved. Over 60 hand-drawn visuals are included throughout to help you work through each problem as you learn by example. The illustrations are simple, hand-drawn, and in black and white. For those interested, we have also included sections typically not found in other beginner guides to Bayes Rule. These include: A short tutorial on how to understand problem scenarios and find P(B), P(A), and P(B|A). For many people, knowing how to approach scenarios and break them apart can be daunting. In this booklet, we provide a quick step-by-step reference on how to confidently understand scenarios.A few examples of how to think like a Bayesian in everyday life. Bayes Rule might seem somewhat abstract, but it can be applied to many areas of life and help you make better decisions. It is a great tool that can help you with critical thinking, problem-solving, and dealing with the gray areas of life. A concise history of Bayes Rule. Bayes Theorem has a fascinating 200+ year history, and we have summed it up for you in this booklet. From its discovery in the 1700’s to its being used to break the German’s Enigma Code during World War 2, its tale is quite phenomenal.Fascinating real-life stories on how Bayes formula is used in everyday life.From search and rescue to spam filtering and driverless cars, Bayes is used in many areas of modern day life. We have summed up 3 examples for you and provided an example of how Bayes could be used.An expanded definitions, notations, and proof section.We have included an expanded definitions and notations sections at the end of the booklet. In this section we define core terms more concretely, and also cover additional terms you might be confused about. A recommended readings section.From The Theory That Would Not Die to a few other books, there are a number of recommendations we have for further reading. Take a look! If you are a visual learner and like to learn by example, this intuitive booklet might be a good fit for you. Bayesian statistics is an incredibly fascinating topic and likely touches your life every single day. It is a very important tool that is used in data analysis throughout a wide-range of industries - so take an easy dive into the theorem for yourself with a visual approach!If you are looking for a short beginners guide packed with visual examples, this booklet is for you.

    This book applies the theory to the design of specialized audio spaces such as the home listening room, the control room, and the multi-track-recording studio.

    Now, Core JavaServer™ Faces–the #1 guide to JSF–has been thoroughly updated in this second edition, covering the latest feature enhancements, the powerful Ajax development techniques, and open source innovations that make JSF even more valuable. Authors David Geary and Cay Horstmann delve into all facets of JSF 1.2 development, offering systematic best practices for building robust applications, minimizing handcoding, and maximizing productivity. Drawing on unsurpassed insider knowledge of the Java platform, they present solutions, hints, tips, and “how-tos” for writing superior JSF 1.2 production code, even if you’re new to JSF, JavaServer Pages™, or servlets.The second edition’s extensive new coverage includes: JSF 1.2’s improved alignment with the broader Java EE 5 platform; enhancements to the JSF APIs; controlling Web flow with Shale; and using Facelets to replace JSP with XHTML markup. The authors also introduce Ajax development with JSF–from real-time validation and Direct Web Remoting to wrapping Ajax in JSF components and using the popular Ajax4jsf framework.This book will help you Automate low-level details and eliminate unnecessary complexity in server-side development Discover JSF best practices, ranging from effective UI design and style sheets to internationalization Use JSF with Tiles to build consistent, reusable user interfaces Leverage external services such as databases, LDAP directories, authentication/authorization, and Webservices Use JBoss Seam to greatly simplify development of database-backed applications Implement custom components, converters, and validators Master the JSF 1.2 tag libararies, and extend JSF with additional tag libraries Preface Acknowledgments Chapter 1: Getting Started Chapter 2: Managed Beans Chapter 3: Navigation Chapter 4: Standard JSF Tags Chapter 5: Data Tables Chapter 6: Conversion and Validation Chapter 7: Event Handling Chapter 8: Subviews and Tiles Chapter 9: Custom Components, Converters, and Validators Chapter 10: External Services Chapter 11: Ajax Chapter 12: Open Source Chapter 13: How Do I . . . Index

    Thinking Physics is a perfect beginner’s guide to an amazingly wide range of physics-related questions. The book targets topics that science teachers and students spend time wondering about, like wing lift. Epstein elucidates the familiar but misunderstood — such as how tides work — along with more obscure but fascinating phenomena like the “Bernoulli sub” and the “artificial aurora” created by hydrogen bombs. Broken into many short sections and peppered with Epstein’s own playful hand-drawn illustrations, the book does not simply give the right answer: It also goes into the answers that seem right but are wrong and shows why they are wrong — a rarity in science books. Thinking Physics is a rigorously correct, lighthearted, and cleverly designed Q and A book for physicists of all ages.

    Students are brought to a level of understanding that will enable them to read much of the current literature on new devices and applications.

    Windows Presentation Foundation (WPF) is a key component of the .NET Framework 3.0, giving you the power to create richer and more compelling applications than you dreamed possible. Whether you want to develop traditional user interfaces or integrate 3D graphics, audio/video, animation, dynamic skinning, rich document support, speech recognition, or more, WPF enables you to do so in a seamless, resolution-independent manner. Windows Presentation Foundation Unleashed is the authoritative book that covers it all, in a practical and approachable fashion, authored by .NET guru and Microsoft developer Adam Nathan. - Covers everything you need to know about Extensible Application Markup Language (XAML) - Examines the WPF feature areas in incredible depth: controls, layout, resources, data binding, styling, graphics, animation, and more - Features a chapter on 3D graphics by Daniel Lehenbauer, lead developer responsible for WPF 3D - Delves into non-mainstream topics: speech, audio/video, documents, bitmap effects, and more - Shows how to create popular UI elements, such as features introduced in the 2007 Microsoft Office System: Galleries, ScreenTips, custom control layouts, and more - Demonstrates how to create sophisticated UI mechanisms, such as Visual Studio-like collapsible/dockable panes - Explains how to develop and deploy all types of applications, including navigation-based applications, applications hosted in a Web browser, and applications with great-looking non-rectangular windows - Explains how to create first-class custom controls for WPF - Demonstrates how to create hybrid WPF software that leverages Windows Forms, ActiveX, or other non-WPF technologies - Explains how to exploit new Windows Vista features in WPF applications

    Evidence that Jesus had siblings contradicts Church dogma on the virgin birth, and James is also a symbol of Christian teachings that have been obscured. While Peter is traditionally thought of as the leader of the apostles and the “rock” on which Jesus built his church, Jeffrey Bütz shows that it was James who led the disciples after the crucifixion. It was James, not Peter, who guided them through the Church's first major theological crisis--Paul's interpretation of the teachings of Jesus. Using the canonical Gospels, writings of the Church Fathers, and apocryphal texts, Bütz argues that James is the most overlooked figure in the history of the Church. He shows how the core teachings of Jesus are firmly rooted in Hebraic tradition; reveals the bitter battles between James and Paul for ideological supremacy in the early Church; and explains how Paul's interpretations, which became the foundation of the Church, are in many ways its betrayal. Bütz reveals a picture of Christianity and the true meaning of Christ's message that are sometimes at odds with established Christian doctrine and concludes that James can serve as a desperately needed missing link between Christianity, Judaism, and Islam to heal the wounds of centuries of enmity.

    The president of the innovative marketing and media consulting firm Trendera and a regular contributor to Cosmopolitan Magazine, Jane Buckingham dispenses savvy solutions to life’s myriad little annoyances with warmth, great wit, and impeccable wisdom.

    

    Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.