Monte Carlo learning/biasing experiment with intelligent random numbers

Conference · Tue Jan 01 00:00:00 EST 1985

DOI:https://doi.org/10.13182/NSE86-A17534· OSTI ID:5817631

Booth, T E

A Monte Carlo learning and biasing technique is described that does its learning and biasing in the random number space rather than the physical phase-space. The technique is probably applicable to all linear Monte Carlo problems, but no proof is provided here. Instead, the technique is illustrated with a simple Monte Carlo transport problem. Problems encountered, problems solved, and speculations about future progress are discussed. 12 refs.

• Research Organization: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
• DOE Contract Number: W-7405-ENG-36
• OSTI ID: 5817631
• Report Number(s): LA-UR-85-1255; CONF-8504110-19; ON: DE85010713
• Resource Relation: Journal Volume: 92; Journal Issue: 3; Conference: Joint Los Alamos/CEA meeting on Monte Carlo methods, Cadarache, France, 22 Apr 1985; Other Information: Portions of this document are illegible in microfiche products
• Country of Publication: United States
• Language: English

Related Subjects

73 NUCLEAR PHYSICS AND RADIATION PHYSICS
MONTE CARLO METHOD
TRANSPORT THEORY
ABSORPTION
CALCULATION METHODS
RANDOMNESS
SCATTERING
TOTAL CROSS SECTIONS
TRAINING
WEIGHTING FUNCTIONS
CROSS SECTIONS
FUNCTIONS
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