It then provides several well developed solved examples which illustrate the various dimensions of the concept under discussion. A set of practice problems is also included to encourage the student to test his mastery over the subject. The book would serve as an excellent text for both Degree and Diploma students of all engineering disciplines. AMIE candidates would also find it most useful.

     Offers extensively updated coverage, new problem sets, and chapter-ending material to enhance the book’s relevance to today’s engineers and scientists. Includes new problem sets demonstrating updated applications to engineering as well as biological, physical, and computer science. Emphasizes key ideas as well as the risks and hazards associated with practical application of the material. Includes new material on topics including: difference between discrete and continuous measurements; binary data; quartiles; importance of experimental design; “dummy” variables; rules for expectations and variances of linear functions; Poisson distribution; Weibull and lognormal distributions; central limit theorem, and data plotting. Introduces Bayesian statistics, including its applications to many fields. For those interested in learning more about probability and statistics.

    With pedagogical use of second color, it covers devices in one place so that circuit characteristics are developed early.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.

    It describes conventional and unconventional methods of electricity generation and its economics, distribution methods, substation location, electric drives, high frequency power for induction and heating, illumination engineering, and electric traction. Each chapter contains illustrative worked problems, exercises (some with answers) and a bibliography.

    But Neil Armstrong and Sally Ride would have never made history, and humankind would not have touched the stars, if not for the men and women on the ground who lit the fuse that launched the first rockets.Enthralled as a boy by the exploits of Flash Gordon and the novels of Robert Heinlein and Arthur C. Clarke—who put the science in science fiction—James French became one of the original unsung engineers of America’s groundbreaking space program. His fascinating memoir offers an up-close-and-technical look at building, testing, and perfecting the pioneering Saturn rockets and original lunar landing module, and he shares true tales, both humorous and harrowing, of life—and near death—on the front lines of scientific exploration.If you’ve ever said, “It’s not rocket science,” you’re right. It’s rocket engineering—and here’s your chance to marvel at how it changed the world and made it possible to explore all that lies beyond Earth. James R French graduated from MIT in 1958 with a degree of BSME Specializing in Propulsion. His first job was with Rocketdyne Division of North American Aviation where he worked on developmental testing of H-1 engines and combustion devices hardware for F-1 and J-2 engines used in Saturn 5. Mr. French has also worked at TRW Systems, where he was Lead Development Test Engineer on the Lunar Module Descent Engine, and Jet Propulsion Laboratory where he was Advanced Planetary studies Manager as well as Chief Engineer for the SP-100 Space Nuclear Power System and worked on Mariners 5, 6, 7, 8, and 9; Viking 1 & 2 and Voyager 1 & 2. . In 1986, he helped found American Rocket Co., a commercial launch company.Since 1987, Mr. French has been consultant to a variety of aerospace companies, SDIO, NASA, and USAF. He has participated in various startup companies in the private space flight arena and currently consults extensively to Blue Origin. Mr. French is co-author with Dr. Michael Griffin of the best-selling text Space Vehicle Design, published by AIAA. The second edition of the book has received the Summerfield Book Award for 2008. Mr. French is a Fellow of both AIAA and the British Interplanetary Society and a 50+ year member of AIAA. He has held several Technical Committee and other posts in AIAA. Cover design by Evan Twohy

    This well-established two-book course is designed for class teaching and private study leading to GCSE examinations in mathematics and further Mathematics at A Level.

    Written for the engineer as well as the race car enthusiast, the authors, who developed many of the original vehicle dynamics theories and principles covered in this book, including the Moment Method, pair analysis and lap time simulation, include much information that is not available in any other vehicle dynamics text.

    Updated to cover the new Transportation and Structural codes. As the most comprehensive reference and study guide available for engineers preparing for the morning and afternoon topics on the Civil PE exam, the 11th edition of the Civil Engineering Reference Manual provides a concentrated review of the exam topics. No other exam-focused publication is more complete. The Most Trusted Reference for the Civil PE Exam is also the Most Up-To-Date A complete introduction to the exam format and content A suggested study schedule, plus tips for successful exam preparation Nearly 500 solved example problems Hundreds of key tables, charts, and figures at your fingertips An easy-to-use index and full glossary for quick reference Perfect for post-exam reference What's New in the 11th Edition 4 new construction engineering chapters Over 35 updated chapters—including extensively revised structural and transportation chapters 100 new equations Over 300 new, easy-to-use index entriesExam Topics CoveredConstruction—NewGeotechnical—UpdatedStructural—UpdatedTransportation—UpdatedWater Resources & Environmental—Updated_____________________________Since 1975 more than 2 million people preparing for their engineering, surveying, architecture, LEED®, interior design, and landscape architecture exams have entrusted their exam prep to PPI. For more information, visit us at www.ppi2pass.com.

    An illustration program supports the concepts and theories discussed.

    It describes the evolution, use and eclipse of the battleship.’ Lloyds’ List ‘With crisp scholarship, Peter Padfield traces the development of the battleship from sailing ships much like Nelson’s which had been fitted with auxiliary steam engines and had iron armour hung on their sides, to the ultimate: the Japanese battleship, Yamato, a giant of more than 70,000 tons firing 18 inch shells more than 20 miles.’ Books and Bookmen ‘A fascinating documentary account of particular interest to the armchair strategist.’ Booklist ‘A worthy addition to anyone’s library that wishes to learn more of the rise and fall of the battleship.’ Good Book Guide The battleship reigned supreme at sea from the 1860s to the 1940s, the ultimate symbol of naval power and national pride, queen on the naval chessboard. This book describes its evolution from the wooden man-of-war plated with iron armour to the great steel leviathan of the Second World War, and its ultimate displacement as arbiter of naval power by the aircraft carrier. At the same time the author explains how strategy and battle tactics changed in response to the mounting of ever larger guns with greater range and penetrative power, and the development of threatening new weapon systems, particularly torpedoes, torpedo boats, mines and submarines; and he explores the chilling reality of action with vivid descriptions of major naval battles including the Yalu in the first Sino-Japanese War, Tsushima in the Russo-Japanese War, Jutland in the First World War and many lesser known engagements. The pioneer naval architects and engineers and the commanders who fought these great ships in action, Togo, Jellicoe, Beatty, Scheer, Hipper, Cunningham, Lee, Oldendorf find their way naturally into this absorbing, often horrifying history of what was once the arbiter of naval power.

    Thank you for your feedback and patience.From Andrew Warner:I first interviewed Paul Graham after I heard something shocking from Alexis Ohanian, a founder whose company was funded by Graham's Y Combinator. Alexis came to Mixergy to tell the story of how he launched and sold Reddit.If you're a founder, you know the kind of problems that founders have, right? Figuring out what product to create, how to build it, how to get users to try it, etc.Well Alexis didn't seem to have those problems, or at least they weren't as challenging for him as they were for most of the other 600 entrepreneurs I interviewed on Mixergy.Why? Because Paul Graham helped him launch his business.How did Graham make Reddit's launch easier and more successful than other companies' founding? How did he do the same for hundreds of other startups? And, more importantly, what can you learn from his experiences to grow your business?The book you're holding has those answers.Use what you're about to learn to build your successful startup. After you do, I hope you'll let me interview you so other founders can learn from your experience, the way you're about to benefit from Graham's.About Hyperink, the publisher:Hyperink is the easiest way for anyone to publish a beautiful, high-quality book.We work closely with subject matter experts to create each eBook. We cover topics ranging from higher education to job recruiting, from Android apps marketing to barefoot running.If you have interesting knowledge that people are willing to pay for, especially if you've already produced content on the topic, please reach out to us! There's no writing required and it's a unique opportunity to build your own brand and earn royalties.

    No statistical knowledge is required, and your programming skills can range from hobbyist to pro.Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to: Create artful graphs to visualize complex data sets and functions Write more efficient code using parallel R and vectorization Interface R with C/C++ and Python for increased speed or functionality Find new R packages for text analysis, image manipulation, and more Squash annoying bugs with advanced debugging techniques Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.

    This guide provides explanations of eigenvalues, eigenvectors, linear transformations, linear equations, vectors, and matrices.