Skip to content
Narrow screen resolution Wide screen resolution Auto adjust screen size Increase font size Decrease font size Default font size blue color orange color green color Sign In

Matematika IPB

Beranda arrow Mahasiswa & Alumni arrow Alumni Program Sarjana
 
Informasi Publikasi

Judul Artikel : Perbandingan Metode Monte-Carlo dan Metode Partikel Terboboti Stokastik untuk Solusi Numerik Persamaan Boltzmann
Penulis : Nugrahani, E. H., (2004)
Judul Publikasi : Prosiding Semiloka Teknologi Simulasi dan Komputasi serta Aplikasi 2004
Jenis : Makalah Seminar Nasional
Bahasa : Indonesia
Abstrak : Particle methods are well known tools to solve the kinetic Boltzmann equation numerically. The usual procedure of such method is the direct simulation Monte-Carlo, which directly simulate the collision between particles. The second method of interest is the stochastic weighted particle method, which is developed to improve the previous method. The main idea of the second method is to use random weiht transfer between particles during collisions. In order to reduce the stochastic fluctuations, this method provides a way to increase the number of particles. But if the additional particles cannot be compensated in some natural way, then this number should be reduced. Several reduction procedures have been proposed. Some numerical results using both methods are presented. It is shown that the second method could give some better results in some ways.
 
Link Penulis
No Nama Dosen
1 Dr. Ir. Endar H. Nugrahani, MS.

Random Quotes

Persahabatan sejati tidak akan membeku, meskipun pada musim dingin.

anonim