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Revised and expanded to reflect cutting-edge innovation in aerodynamics, and packed with new features to support learning, the seventh edition of this classic textbook introduces the fundamentals of aerodynamics using clear explanations and real-world examples. Structured around clear learning objectives, this is the ideal textbook for undergraduate students in aerospace engineering, and for graduate students and professional engineers seeking a readable and accessible reference. Over 10 new Aerodynamics Computation boxes that bring students up to speed on modern computational approaches for performing aerodynamic analysis, including various Matlab® programs, OpenVSP, XFOIL, CBAero, Kestrel, and other analysis tools. New end-of-chapter team projects show students how to work together to solve larger, more important aerodynamic problems, in many cases using the computational approaches listed above. New and expanded coverage of propellers, UAVs, transonic wings, wingtip devices, drones, hypersonic aircraft, and aircraft design. New pedagogical features including Look Ahead navigation, expanded use of SI units in new homework problems, and many new Aerodynamics Concepts boxes featuring advanced experimental aircraft concepts. Additional references in each chapter that bring current advancements in aerodynamics into each part of the book.

Linear algebra now rivals or surpasses calculus in importance for people working in quantitative fields of all kinds: engineers, scientists, economists and business people. Gilbert Strang has taught linear algebra at MIT for more than 50 years and the course he developed has become a model for teaching around the world. His video lectures on MIT OpenCourseWare have been viewed over ten million times and his twelve textbooks are popular with readers worldwide. This sixth edition of Professor Strang's most popular book, Introduction to Linear Algebra, introduces the ideas of independent columns and the rank and column space of a matrix early on for a more active start. Then the book moves directly to the classical topics of linear equations, fundamental subspaces, least squares, eigenvalues and singular values – in each case expressing the key idea as a matrix factorization. The final chapters of this edition treat optimization and learning from data: the most active application of linear algebra today. Everything is explained thoroughly in Professor Strang's characteristic clear style. It is sure to delight and inspire the delight and inspire the next generation of learners.

Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains the quality of earlier editions while at the same time seeing numerous minor improvements and major additions. The latter include: a new chapter on singular values and singular vectors, including ways to analyze a matrix of data; a revised chapter on computing in linear algebra, with professional-level algorithms and code that can be downloaded for a variety of languages; a new section on linear algebra and cryptography; and a new chapter on linear algebra in probability and statistics. A dedicated and active website also offers solutions to exercises as well as new exercises from many different sources (e.g. practice problems, exams, development of textbook examples), plus codes in MATLAB, Julia, and Python.