登入選單
返回Google圖書搜尋
Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning
Jean H GallierJocelyn Quaintance
出版World Scientific, 2020-01-22
主題Mathematics / Algebra / LinearMathematics / OptimizationComputers / Computer ScienceMathematics / Discrete Mathematics
ISBN98112064149789811206412
URLhttp://books.google.com.hk/books?id=lMPVDwAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields.