1. DSpace at My University

Search

Filters:

BROWSE

Has File(s)

Search Results

Results 261-270 of 1488 (Search time: 0.099 seconds).
Item hits:
  • Sách/Book

  • The Sparse Fourier Transform

    • Authors: Hassanieh, Haitham (2018)

  • The Sparse Fourier Transform: Theory and Practice book shows how to address the above problem by developing the Sparse Fourier Transform algorithms and building practical systems that use these algorithms to solve key problems in six different applications.
  • Sách/Book

  • A concise course in algebraic topology

    • Authors: J.P. May (1999)

  • Algebraic topology is a basic part of modern mathematics, and some knowledge of this area is indispensable for any advanced work relating to geometry, including topology itself, differential geometry, algebraic geometry, and Lie groups. This book provides a detailed treatment of algebraic topology both for teachers of the subject and for advanced graduate students in mathematics either specializing in this area or continuing on to other fields.
  • 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

  • Declarative Logic Programming: Theory, Systems, and Applications

    • Authors: Michael Kifer (2018)

  • The goal of this book is to help fill in the void in the literature with state-of-the-art surveys on key aspects of LP. Much attention was paid to making these surveys accessible to researchers, practitioners, and graduate students alike.
  • Sách/Book

  • Shared-Memory Parallelism Can Be Simple, Fast, and Scalable

    • Authors: Shun, Julian (2017)

  • The book starts by introducing tools and techniques for deterministic parallel programming, including means for encapsulating nondeterminism via powerful commutative building blocks, as well as a novel framework for executing sequential iterative loops in parallel, which lead to deterministic parallel algorithms that are efficient both in theory and in practice. The book then introduces Ligra, the first high-level shared-memory framework for parallel graph traversal algorithms. The framework enables short and concise implementations that deliver performance competitive with that of highly optimized code and up to orders of magnitude faster than previous systems designed for distributed memory. Finally, the book bridges the gap between theory and practice in parallel algorithm design...
  • Sách/Book

  • Deep learning with Python

    • Authors: François Chollet. (2018)

  • This book was written for anyone who wishes to explore deep learning from scratch or broaden their understanding of deep learning. Whether you're a practicing machine-learning engineer, a software developer, or a college student, you'll find value in these pages
  • Sách/Book

  • Data Analysis, Statistics, and Probability

    • Authors: - (-)

  • Data Analysis, Statistics, and Probability introduces statistics as a problem-solving process. In this course, you will build your skills through investigations of different ways to collect and represent data and to analyze and interpret variation in data. The course consists of 10 sessions, each with a half hour of video programming, problem-solving activities provided online and in a print guide, and interactive activities and demonstrations on the Web.