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  • Sách/Book

  • Computational Finance with R

    • Authors: Sen, Rituparna (2023)

  • This book prepares students to execute the quantitative and computational needs of the finance industry. The quantitative methods are explained in detail with examples from real financial problems like option pricing, risk management, portfolio selection, etc. Codes are provided in R programming language to execute the methods.
  • Sách/Book

  • The domain theory in computer science

    • Authors: Pehcevski, Jovan (2023)

  • This book covers different topics from domain theory in computer science, including: partial orders and groups, power domains and metrics, recursive data types (binary trees) and algebraicity and Boolean algebras.
  • Sách/Book

  • Cross-Technology Coexistence Design for Wireless Networks

    • Authors: Yao, Junmei (2023)

  • This book introduces readers to the fundamentals of the cross-technology coexistence problem in heterogeneous wireless networks. It also highlights a range of mechanisms designed to combat this problem
  • Sách/Book

  • Design Principles for Embedded Systems

    • Authors: - (2023)

  • The book is designed to serve as a textbook for courses offered to graduate and undergraduate students enrolled in electronics and electrical engineering and computer science. This book attempts to bridge the gap between electronics and computer science students, providing complementary knowledge that is essential for designing an embedded system.
  • Sách/Book

  • Dissecting Computer Architecture

    • Authors: De Luna, Alvin Albuero (2023)

  • This book explains the fundamental technologies and components used in modern processors and computer architectures and how varied architectural choices culminate in computer configurations that are optimal for certain applications. To put it nicely, modern computers are sophisticated gadgets. Nevertheless, when examined hierarchically, the roles of each degree of complexity become apparent.
  • Sách/Book

  • Computer and Information Science

    • Authors: Roger Lee (2023)

  • The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way.
  • Sách/Book

  • Calculus for Computer Graphics

    • Authors: Vince, John (2023)

  • In this 3rd edition, the author extends the scope of the original book to include vector differential operators and differential equations and draws upon his experience in teaching mathematics to undergraduates to make calculus appear no more challenging than any other branch of mathematics.
  • Sách/Book

  • Intro to Python for the computer and data sciences : learning to program with AI, big data and the cloud

    • Authors: Paul Deitel (2023)

  • The book's modular architecture enables instructors to conveniently adapt the text to a wide range of computer-science and data-science courses offered to audiences drawn from many majors. Computer-science instructors can integrate as much or as little data-science and artificial-intelligence topics as they'd like, and data-science instructors can integrate as much or as little Python as they'd like.