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7. GTDoE

This part of the pSeven Core manual is a guide to the Generic Tool for Design of Experiments (GTDoE).

• 7.1. Introduction
  • 7.1.1. Definitions
  • 7.1.2. Generation Modes
    • 7.1.2.1. Sequential
    • 7.1.2.2. Batch
    • 7.1.2.3. Adaptive Blackbox-Based
    • 7.1.2.4. Adaptive Sample-Based
      • 7.1.2.4.1. Filling Mode
      • 7.1.2.4.2. Property Preservation Mode
  • 7.1.3. Random and Deterministic Generation
  • 7.1.4. Types of Variables
  • 7.1.5. Uniformity
• 7.2. Techniques
  • 7.2.1. Space-Filling DoE techniques
    • 7.2.1.1. Random Sampling
    • 7.2.1.2. Latin Hypercube Sampling
    • 7.2.1.3. Optimized LHS
    • 7.2.1.4. Full Factorial
    • 7.2.1.5. Fractional Factorial
    • 7.2.1.6. Parametric Study
    • 7.2.1.7. Halton Sequence
    • 7.2.1.8. Sobol Sequence
    • 7.2.1.9. Faure Sequence
    • 7.2.1.10. Orthogonal Array
      • 7.2.1.10.1. Definition
      • 7.2.1.10.2. Array Types and Requirements
  • 7.2.2. Optimal Designs for Response Surface Models
    • 7.2.2.1. Criteria Optimization Based Designs
    • 7.2.2.2. Box-Behnken
  • 7.2.3. Adaptive Design of Experiments
    • 7.2.3.1. Overview
    • 7.2.3.2. Problem Statement
    • 7.2.3.3. Toy Example
    • 7.2.3.4. Adaptive DoE Workflow
      • 7.2.3.4.1. Generation of the initial training set
      • 7.2.3.4.2. Construction of approximation model
      • 7.2.3.4.3. Generation of adaptive DoE points
    • 7.2.3.5. Criteria
      • 7.2.3.5.1. Uniform
      • 7.2.3.5.2. Maximum Variance
      • 7.2.3.5.3. Integrated Mean Squared Error Gain – Maximum Variance
    • 7.2.3.6. Configuration
• 7.3. Option Reference
• 7.4. Hint Reference