Book picks similar to
Introduction to Flight by John D. Anderson Jr.
engineering
aerospace
science
reference
Meggs' History of Graphic Design
Philip B. Meggs - 1983
Under the new authorial leadership of Alston Purvis, this authoritative book offers more than 450 new images, along with expansive coverage of such topics as Italian, Russian, and Dutch design. It reveals a saga of creative innovators, breakthrough technologies, and important design innovations.
Principles of Neural Science
Eric R. Kandel - 1981
It discusses neuroanatomy, cell and molecular mechanisms and signaling through a cognitive approach to behaviour. It features an expanded treatment of the nervous system, neurological and psychiatric diseases and perception.
Thinking in Systems: A Primer
Donella H. Meadows - 2008
Edited by the Sustainability Institute’s Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world, showing readers how to develop the systems-thinking skills that thought leaders across the globe consider critical for 21st-century life.Some of the biggest problems facing the world—war, hunger, poverty, and environmental degradation—are essentially system failures. They cannot be solved by fixing one piece in isolation from the others, because even seemingly minor details have enormous power to undermine the best efforts of too-narrow thinking.While readers will learn the conceptual tools and methods of systems thinking, the heart of the book is grander than methodology. Donella Meadows was known as much for nurturing positive outcomes as she was for delving into the science behind global dilemmas. She reminds readers to pay attention to what is important, not just what is quantifiable, to stay humble, and to stay a learner.In a world growing ever more complicated, crowded, and interdependent, Thinking in Systems helps readers avoid confusion and helplessness, the first step toward finding proactive and effective solutions.
Calculus
Gilbert Strang - 1991
The author has a direct style. His book presents detailed and intensive explanations. Many diagrams and key examples are used to aid understanding, as well as the application of calculus to physics and engineering and economics. The text is well organized, and it covers single variable and multivariable calculus in depth. An instructor's manual and student guide are available online at http: //ocw.mit.edu/ans7870/resources/Strang/....
MATLAB Programming for Engineers
Stephen J. Chapman - 1999
The book teaches MATLAB as a technical programming language showing students how to write clean, efficient, and well-documented programs. It makes no pretense at being a complete description of all of MATLAB's hundreds of functions. Instead, it teaches students how to locate any desired function with MATLAB's extensive on line help facilities. Overall, students develop problem-solving skills and are equipped for future courses and careers using the power of MATLAB.
An Introduction to Statistical Learning: With Applications in R
Gareth James - 2013
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.
CRC Handbook of Chemistry and Physics
David R. Lide - 1984
This edition contains NEW tables on Properties of Ionic Liquids, Solubilities of Hydrocarbons in Sea Water, Solubility of Organic Compounds in Superheated Water, and Nutritive Value of Foods. It also updates many tables including Critical Constants, Heats of Vaporization, Aqueous Solubility of Organic Compounds, Vapor Pressure of Mercury, Scientific Abbreviations and Symbols, and Bond Dissociation Energies. The 88th Edition also presents a new Foreword written by Dr. Harold Kroto, a 1996 Nobel Laureate in Chemistry.
Physics for Scientists and Engineers, Volume 2
Raymond A. Serway - 1982
Raymond Serway, Robert Beichner, and contributing author John W. Jewett present a strong problem-solving approach that is further enhanced through increased realism in worked examples. Problem-solving strategies and hints allow students to develop a systematic approach to completing homework problems. The outstanding ancillary package includes full multimedia support, online homework, and a content-rich Web site that provides extensive support for instructors and students. The CAPA (Computer-assisted Personalized Approach), WebAssign, and University of Texas homework delivery systems give instructors flexibility in assigning online homework.
The Dream Machine: The Untold History of the Notorious V-22 Osprey
Richard Whittle - 2010
The tiltrotor was the aviation equivalent of finding the Northwest Passage: an aircraft able to take off, land, and hover with the agility of a helicopter yet fly as fast and as far as an airplane. Many predicted it would reshape civilian aviation. The Marines saw it as key to their very survival. By 2000, the Osprey was nine years late and billions over budget, bedeviled by technological hurdles, business rivalries, and an epic political battle over whether to build it at all. Opponents called it one of the worst boondoggles in Pentagon history. The Marines were eager to put it into service anyway. Then two crashes killed twenty- three Marines. They still refused to abandon the Osprey, even after the Corps’ own proud reputation was tarnished by a national scandal over accusations that a commander had ordered subordinates to lie about the aircraft’s problems. Based on in-depth research and hundreds of interviews, The Dream Machine recounts the Marines’ quarter-century struggle to get the Osprey into combat. Whittle takes the reader from the halls of the Pentagon and Congress to the war zone of Iraq, from the engineer’s drafting table to the cockpits of the civilian and Marine pilots who risked their lives flying the Osprey—and sometimes lost them. He reveals the methods, motives, and obsessions of those who designed, sold, bought, flew, and fought for the tiltrotor. These stories, including never before published eyewitness accounts of the crashes that made the Osprey notorious, not only chronicle an extraordinary chapter in Marine Corps history, but also provide a fascinating look at a machine that could still revolutionize air travel.
Flight: 100 Years of Aviation
R.G. Grant - 2002
In the 100 years since the Wright brothers' first powered flight, aviation has witnessed many memorable events. From record-breaking flights and aerial warfare, to advances in aircraft design and the race for space, Flight covers the most memorable moments in the history of aviation. Describing the feats of the brave men and women who piloted the early flying machines, to the pioneers of long-distance flight and the test pilots who ushered in the jet age, Flight is a gripping narrative of humankind's quest to conquer the skies and explore space. Loaded with spectacular full-color photographs, dramatic first-hand accounts, and fact-filled profiles on a huge range of aircraft, this is an enthralling account of a century of innovation and adventure.
Linear Algebra and Its Applications [with CD-ROM]
David C. Lay - 1993
Digital Computer Electronics
Albert Paul Malvino - 1977
The text relates the fundamentals to three real-world examples: Intel's 8085, Motorola's 6800, and the 6502 chip used by Apple Computers. This edition includes a student version of the TASM cross-assembler software program, experiments for Digital Computer Electronics and more.
Abstract Algebra
I.N. Herstein - 1986
Providing a concise introduction to abstract algebra, this work unfolds some of the fundamental systems with the aim of reaching applicable, significant results.
The New Drawing on the Right Side of the Brain
Betty Edwards - 1979
In 1989, when Dr. Betty Edwards revised the book, it went straight to the Times list again. Now Dr. Edwards celebrates the twentieth anniversary of her classic book with a second revised edition.Over the last decade, Dr. Edwards has refined her material through teaching hundreds of workshops and seminars. Truly The New Drawing on the Right Side of the Brain, this edition includes:the very latest developments in brain researchnew material on using drawing techniques in the corporate world and in educationinstruction on self-expression through drawingan updated section on using colordetailed information on using the five basic skills of drawing for problem solving
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller - 2009
The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.