Gilbert Strang  | International Thomson Business Press

47,000원  | 20060101  | 9780534422004

Renowned professor and author Gilbert Strang demonstrates that linear algebra is a fascinating subject by showing both its beauty and value. While the mathematics is there, the effort is not all concentrated on proofs. Strang's emphasis is on understanding. He explains concepts, rather than deduces. This book is written in an informal and personal style and teaches real mathematics. The gears change in Chapter 2 as students reach the introduction of vector spaces. Throughout the book, the theory is motivated and reinforced by genuine applications, allowing pure mathematicians to teach applied mathematics.

GILBERT STRANG  | Cambridge University Press

89,000원  | 20150212  | 9780980232790

Differential equations and linear algebra are two central topics in the undergraduate mathematics curriculum. This innovative textbook allows the two subjects to be developed either separately or together, illuminating the connections between two fundamental topics, and giving increased flexibility to instructors. It can be used either as a semester-long course in differential equations, or as a one-year course in differential equations, linear algebra, and applications.

Gilbert Strang  | Wellesley-Cambridge Press,U.S.

89,150원  | 20201126  | 9781733146630

Linear algebra has become the subject to know for people in quantitative disciplines of all kinds. No longer the exclusive domain of mathematicians and engineers, it is now used everywhere there is data and everybody who works with data needs to know more. This new book from Professor Gilbert Strang, author of the acclaimed Introduction to Linear Algebra, now in its fifth edition, makes linear algebra accessible to everybody, not just those with a strong background in mathematics.

Gilbert Strang  | Wellesley Cambridge

110,000원  | 20190228  | 9780692196380

This is a textbook to help readers understand the steps that lead to deep learning. Linear algebra comes first especially singular values, least squares, and matrix factorizations. Often the goal is a low rank approximation A = CR (column-row) to a large matrix of data to see its most important part. This uses the full array of applied linear algebra, including randomization for very large matrices.

Gilbert Strang  | Wellesley-Cambridge Press

0원  | 20190701  | 9781733146609

This International Edition shares the website math.mit.edu/linearalgebra with the US edition. I hope the video lectures on MIT’s OpenCourseWare are helpful to students and faculty (Math 18.06 and 18.06SC on ocw.mit.edu). Now Kyobo Books has made it possible to teach directly from the textbook for that course. May I mention a new data science feature of the International Edition. The last pages of the book have developed from my new MIT course 18.065 and its textbook : Linear Algebra and Learning from Data(2019), Wellesley-Cambridge Press, ISBN 9780692-19638-0. I hoped for many years that MIT could have a second course on applied linear algebra. With the amazing growth of machine learning and artificial intelligence, this new course became possible. More than 100 MIT students from all years and all departments choose this course every spring. 18.065 is now included with video lectures on OpenCourseWare ocw.mit.edu. The new textbook has the website math.mit.edu/learningfromdata. The key ideas of deep learning are now included in the Appendix to the International Edition that is available in Taiwan and Korea. The reader learns how to construct a function F(x,v) that gives the correct output on the known training data v. In image recognition F gives the correct classification of the image. The vector x of weights contains the matrices that multiply v to give that output. The learning function F must be nonlinear ! Each new layer includes ReLU(v) = max (0,v). Nonlinearity is responsible for the success of deep learning. The International Edition contains my SIAM News article (December 2018) about the detailed structure of F(x,v). The “magic success” is that F also gives the correct classification for data it has not seen. This new part of the textbook opens up a major application of linear algebra. All professors and teachers will know that the heart of the textbook is linear algebra. This subject has jumped forward in importance for many parts of mathematics, linear algebra is as essential as calculus.

Gilbert Strang  | Wellesley Cambridge

0원  | 99991230  | 9780961408824

Gilbert Strang  | Wellesley Cambridge

131,950원  | 19860101  | 9780961408800

The T Series MGs epitomise the English sports car. From the TA model of 1936 through to the 1954 TF they all provided the very essence of sporting open-air motoring, and they remain highly prized today. They can also be credited with having launched the British motor industry's export drive to the United States.

Gilbert Strang  | Wellesley Cambridge

0원  | 20090706  | 9780980232714

Gilbert Strang  | Wellesley Cambridge

139,080원  | 20100427  | 9780961408817

This book presents the full range of computational science and engineering -- the equations, numerical methods, and algorithms with MATLAB® codes. The author has taught this material to thousands of engineers and scientists. The book is solution-based and not formula-based: it covers applied linear algebra and fast solvers, differential equations with finite differences and finite elements, Fourier analysis, optimization, and more.

Cram101 Textbook Reviews  | Academic Internet Publishers

43,040원  | 20130604  | 9781467265812