Pricelists.org Pricelists.org Đăng nhập Đăng ký

Numerical Methods for Linear Complementarity Problems in Physics-Based Animation

☆☆☆☆☆ (0 reviews)
Show price history
Numerical Methods for Linear Complementarity Problems in Physics-Based Animation
Lowest price (incl. delivery)
54,99 USD
Typical price50,99 PLN
Lowest (90 days)39,99 PLN
Offers6
Last updated1 tuần trước
See best offer
Price history (90 days)
Full history
2026-08-08 2026-08-15
Lịch sử giá
Cập nhật lúcGiá
2026-08-0844,99
2026-08-1439,99
2026-08-1552,00
Người bán Product price Delivery Tổng cộng Tình trạng Updated
SP SpringerNatureLink Shop INT 54,99 USD free 54,99 USD Có sẵn 3 ngày trước View offer
SP SpringerNatureLink Shop INT 54,99 USD 29,00 USD 83,99 USD Có sẵn 3 ngày trước View offer
SP SpringerNatureLink Shop INT 59,99 USD 29,00 USD 88,99 USD Có sẵn 3 ngày trước View offer
SP SpringerNatureLink Shop INT 59,99 USD 15,00 USD 74,99 USD Có sẵn 3 ngày trước View offer
SP Springer Nature Author 59,99 USD 19,00 USD 78,99 USD Có sẵn 1 tuần trước View offer
SP SpringerNatureLink Shop INT 58,84 EUR free 58,84 EUR Có sẵn 3 ngày trước View offer

Giá và tình trạng có thể thay đổi. Cập nhật lần cuối: 08.08.2026 11:15.

0,0
☆☆☆☆☆
0 reviews
5★ 0%
4★ 0%
3★ 0%
2★ 0%
1★ 0%

Product reviews

Rating
No reviews yet — be the first!
Linear complementarity problems (LCPs) have for many years been used in physics-based animation to model contact forces between rigid bodies in contact. More recently, LCPs have found their way into the realm of fluid dynamics. Here, LCPs are used to model boundary conditions with fluid-wall contacts. LCPs have also started to appear in deformable models and granular simulations. There is an increasing need for numerical methods to solve the resulting LCPs with all these new applications. This book provides a numerical foundation for such methods, especially suited for use in computer graphics. This book is mainly intended for a researcher/Ph.D. student/post-doc/professor who wants to study the algorithms and do more work/research in this area. Programmers might have to invest some time brushing up on math skills, for this we refer to Appendices A and B. The reader should be familiar with linear algebra and differential calculus. We provide pseudo code for all the numerical methods, which should be comprehensible by any computer scientist with rudimentary programming skills. The reader can find an online supplementary code repository, containing Matlab implementations of many of the core methods covered in these notes, as well as a few Python implementations [Erleben, 2011]. Table of Contents: Introduction / Numerical Methods / Guide for Software and Selecting Methods / Bibliography / Authors' Biographies

Similar products