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  • Book

  • Giải tích (Tập 1)

    • 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

  • Introduction to Parallel Computing : From Algorithms to Programming on State-of-the-Art Platforms

    • 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

  • Discrete Mathematics and Its Applications

    • 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

  • Introduction to applied linear algebra : vectors, matrices, and least squares

    • 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

  • Precalculus with Geometry & Trigonometry

    • 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

  • A First Course in Linear Algebra

    • 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.
  • Sách/Book

  • Elementary linear algebra : applications version

    • Authors: Howard Anton (2013)

  • Elementary Linear Algebra 11th edition gives an elementary treatment of linear algebra that is suitable for a first course for undergraduate students. The aim is to present the fundamentals of linear algebra in the clearest possible way; pedagogy is the main consideration. Calculus is not a prerequisite, but there are clearly labeled exercises and examples (which can be omitted without loss of continuity) for students who have studied calculus
  • Sách/Book

  • Introduction to Evolutionary Computing

    • Authors: A.E.Eiben (2015)

  • The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.
  • Sách/Book

  • Discrete Mathematics with Applications

    • Authors: Susanna S. Epp (2019)

  • DISCRETE MATHEMATICS WITH APPLICATIONS, 5th Edition, explains complex, abstract concepts with clarity and precision and provides a strong foundation for computer science and upper-level mathematics courses of the computer age. Author Susanna Epp presents not only the major themes of discrete mathematics.