II.
LibraryProcess overview
Reference · livelib-process:mathematics--model-validation-framework
model-validation-framework overview
Validate mathematical models against experimental or observational data. Includes parameter estimation, residual analysis, and goodness-of-fit assessment.
Attributes
displayName
model-validation-framework
description
Validate mathematical models against experimental or observational data.
Includes parameter estimation, residual analysis, and goodness-of-fit assessment.
libraryPath
library/specializations/domains/science/mathematics/model-validation-framework.js
specialization
mathematics
references
- - Aster et al., Parameter Estimation and Inverse Problems - Seber & Wild, Nonlinear Regression - Burnham & Anderson, Model Selection and Multimodel Inference - Oberkampf & Roy, Verification and Validation in Scientific Computing
example
const result = await orchestrate('specializations/domains/science/mathematics/model-validation-framework', {
model: { type: 'ODE', equations: ['dy/dt = k*y'], parameters: ['k'] },
observationalData: { t: [0, 1, 2, 3, 4], y: [1, 2.7, 7.4, 20.1, 54.6] },
validationCriteria: { rSquaredThreshold: 0.95, residualNormality: true }
});
usesAgents
- mathematical-modeler
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-engineer·RoleResearch Engineer
- role:computational-scientist·RoleComputational Scientist
lib_requires_skill_area3
- skill-area:statistical-analysis·SkillAreaStatistical Analysis
- skill-area:mathematical-reasoning·SkillAreaMathematical Reasoning
- skill-area:data-analysis·SkillAreaData Analysis
uses_agent1
- lib-agent:mathematics--mathematical-modeler·LibraryAgentmathematical-modeler
Incoming edges
None.