Skip to main content
  • 1418 Accesses

Abstract

In addition to the standard methods introduced in the previous chapters, there are some interesting alternative discretization techniques that might be useful for special classes of continuum mechanics problems in order to enhance the accuracy, efficiency, and/or flexibility of the numerical predictions. A selection of such methods is discussed in this chapter.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michael Schäfer .

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Schäfer, M. (2022). Other Discretization Methods. In: Computational Engineering - Introduction to Numerical Methods. Springer, Cham. https://doi.org/10.1007/978-3-030-76027-4_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-76027-4_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-76026-7

  • Online ISBN: 978-3-030-76027-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics