Introduction to Scientific and Technical Computing
eBook - PDF

Introduction to Scientific and Technical Computing

  1. 289 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Introduction to Scientific and Technical Computing

Book details
Table of contents
Citations

About This Book

Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but which are not yet commonplace in science and engineering curricula. This book contains chapters summarizing the most important topics that computational researchers need to know about. It leverages the viewpoints of passionate experts involved with scientific computing courses around the globe and aims to be a starting point for new computational scientists and a reference for the experienced. Each contributed chapter focuses on a specific tool or skill, providing the content needed to provide a working knowledge of the topic in about one day. While many individual books on specific computing topics exist, none is explicitly focused on getting technical professionals and students up and running immediately across a variety of computational areas.

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Yes, you can access Introduction to Scientific and Technical Computing by Frank T. Willmore, Eric Jankowski, Coray Colina in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2016
ISBN
9781498745062
Edition
1
Topic
Computer Science
Subtopic
Computer Science General
Index
Computer Science

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Foreword
  7. Preface
  8. Editors
  9. Contributors
  10. 1: Operating Systems Overview
  11. 2: Machine Numbers and the IEEE 754 Floating-Point Standard
  12. 3: Developing with Git and Github
  13. 4: Introduction to Bash Scripting
  14. 5: Debugging with gdb
  15. 6: Makefiles, Libraries, and Linking
  16. 7: Linking and Interoperability
  17. 8: Build Management with CMake
  18. 9: Getting Started with Python 3
  19. 10: Prototyping
  20. 11: Introduction to High-Performance Computing Systems
  21. 12: Introduction to Parallel Programming with MPI
  22. 13: Introduction to OpenMP
  23. 14: Checkpointing Code for Restartability with HDF5
  24. 15: Libraries for Linear Algebra
  25. 16: Parallel Computing with Accelerators
  26. 17: Testing and Verification
  27. 18: Validation of Computational Models and Codes
  28. 19: Software Licensing and Distribution
  29. Index