Quasi-random Simulation of Linear Kinetic Equations
✍ Scribed by Christian Lécot; Abdoul Koudiraty
- Book ID
- 102587891
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 282 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0885-064X
No coin nor oath required. For personal study only.
✦ Synopsis
We study the improvement achieved by using quasi-random sequences in place of pseudo-random numbers for solving linear spatially homogeneous kinetic equations. Particles are sampled from the initial distribution. Time is discretized and quasi-random numbers are used to move the particles in the velocity space. Quasirandom points are not blindly used in place of pseudo-random numbers: at each time step, the number order of the particles is scrambled according to their velocities. Convergence of the method is proved. Numerical results are presented for a sample problem in dimensions 1, 2 and 3. We show that by using quasi-random sequences in place of pseudo-random points, we are able to obtain reduced errors for the same number of particles.
📜 SIMILAR VOLUMES
we study positive increasing solutions of the nonlinear difference equation A(an@p(A4) = bnf(2n+l)r @p(u) = I@-34, p > 1, where {a,}, {bn} are positive real sequences for n 2 1, f : lR --t lR is continuous with uf(u) > 0 for u # 0. A full characterization of limit behavior of all these solutions in
The second-order nonlinear difference equation where {an}, {bn} are positive real sequences for n \_> 1, f : R ---\* IR is continuous with uf(u) > 0 for u # 0, is considered. A full characterization of limit behavior of all positive decreasing solutions in terms of an, bn is established. The obtain