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  • Book


  • Authors: James Stewart (2016)

  • Nội dung sách trình bày về giải tích nâng cao gồm giải tích hàm nhiều biến, giải tích trên đường vecter và phương trình vi phân cấp cao. Đồng thời nêu lên những ứng dụng của chúng trong hoạt động thực tiễn về sản xuất vật liệu, kinh doanh hay tính công, tìm thông số trong thực tiễn của vật lý.

  • Book


  • Authors: Roman Trobec (2018)

  • Advancements in microprocessor architecture, interconnection technology, and software development have fueled rapid growth in parallel and distributed computing. However, this development is only of practical benefit if it is accompanied by progress in the design, analysis and programming of parallel algorithms. This concise textbook provides, in one place, three mainstream parallelization approaches, Open MPP, MPI and OpenCL, for multicore computers, interconnected computers and graphical processing units. An overview of practical parallel computing and principles will enable the reader to design efficient parallel programs for solving various computational problems on state-of-the-art personal computers and computing clusters. Topics covered range from parallel algorithms, program...

  • Sách/Book


  • Authors: Carl P. Simon (1994)

  • An abundance of applications to current economic analysis, illustrative diagrams, thought-provoking exercises, careful proofs, and a flexible organization-these are the advantages that Mathematics for Economists brings to today's classroom.

  • Sách/Book


  • Authors: Kenneth H. Rosen (2019)

  • This new edition of the book includes many enhancements, updates, additions, and edits, alldesigned to make the book a more effective teaching tool for a modern discrete mathematics course. Instructors who have used the book previously will notice overall changes that have been made throughout the book, as well as specific changes.

  • Sách/Book


  • Authors: Alpha C. Chiang (1984)

  • These mathematical methods are introduced: matrix algebra, differential and integral calculus, differential equations, difference equations, and convex sets.

  • Sách/Book


  • Authors: Stephen Boyd (2018)

  • This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB®, and data sets accompanying the book online. Suitable for both one-s...

  • Sách/Book


  • Authors: James B. Carrell (2005)

  • This textbook is meant to be a mathematically complete and rigorous introduction to abstract linear algebra for undergraduates, possibly even first year students, specializing in mathematics. Linear algebra is one of the most applicable areas of athematics. It is used by the pure mathematician and by the mathematically trained scientists of all disciplines. This book is directed more at the former audience than the latter, but it is hoped that the writing is sufficiently clear with enough detail so that the anyone reading the text can understand it. While the book is written in an informal style and has many elementary examples, the propositions and theorems are generally carefully proved, and the interested student will certainly be able to experience the theorem-proof style of te...

  • Sách/Book


  • Authors: Avinash Sathaye (2013)

  • This text is intended to be part of a College Algebra course which exposes students to this philosophy. Such a course will almost certainly be a compromise, particularly if it must be taught in a lecture/recitation format to large numbers of students. The emphasis in this course is on mastering the Algebraic technique. Algebra is a discipline which studies the results of manipulating expressions (according to a set of rules which may vary with the context) to put them in convenient form, for enhanced understanding. In this view, Algebra consists of looking for ways of finding information about various quantities, even though it is difficult or even impossible to explicitly solve for them. Algebra consists of finding multiple expressions for the same quantities, since the comparison ...

  • Sách/Book


  • Authors: Robert A. Beezer (2012)

  • A First Course in Linear Algebra is an introduction to the basic concepts of linear algebra, along with an introduction to the techniques of formal mathematics. It begins with systems of equations and matrix algebra before moving into the theory of abstract vector spaces, eigenvalues, linear transformations and matrix representations. It has numerous worked examples and exercises, along with precise statements of definitions and complete proofs of every theorem, making it ideal for independent study.