II.
LibrarySkill overview
Reference · livelib-skill:mathematics--monte-carlo-simulation
monte-carlo-simulation overview
Monte Carlo methods for uncertainty quantification
Attributes
displayName
monte-carlo-simulation
description
Monte Carlo methods for uncertainty quantification
libraryPath
library/specializations/domains/science/mathematics/skills/monte-carlo-simulation/SKILL.md
specialization
mathematics
contentSummary
# Monte Carlo Simulation
## Purpose
Provides Monte Carlo methods for uncertainty quantification, integration, and probabilistic analysis.
## Capabilities
- Standard Monte Carlo sampling
- Importance sampling
- Stratified sampling
- Quasi-Monte Carlo (Sobol, Halton sequences)
- Markov
Outgoing edges
lib_applies_to_domain1
- domain:mathematics·DomainMathematics
lib_belongs_to_specialization2
- specialization:computational-mathematics·SpecializationComputational Mathematics
- specialization:mathematics·SpecializationMathematics
lib_implements_workflow1
- workflow:experiment-design·WorkflowExperiment Design
lib_involves_role2
- role:research-scientist·RoleResearch Scientist
- role:data-scientist·RoleData Scientist
lib_requires_skill_area3
- skill-area:statistical-analysis·SkillAreaStatistical Analysis
- skill-area:mathematical-reasoning·SkillAreaMathematical Reasoning
- skill-area:data-analysis·SkillAreaData Analysis
Incoming edges
None.