Response Surfaces I: LoF and Plans

Explores experimental design methodology, including classic plans, simplex method, and canonical analysis for linear and quadratic models.

Covers the methodology of design of experiments, focusing on response surfaces and optimizing factor combinations.

Covers optimization methods without constraints, including gradient and line search in the quadratic case.

Explores complex roots, conjugate pairs, and quadratic equations solving strategies.

Explores response surface design, emphasizing lack of fit analysis and quadratic models, with practical examples in Matlab.