Introduction
What this guide covers
Mathematical, geometric, statistical and computational analysis for the modeling, characterization and optimization of complex multivariate systems under experimental uncertainty.
Overview
Topics covered
- Introduction
- Response Surface Methodology (RSM)
- Concepts and Philosophy of the MSR
- Historical and Epistemological Foundations
- The Philosophy of Sequential Optimization
- Factor Space Geometry and Response Surfaces
Related concepts
Main connections
Compatible notation
Mathematical sample in LaTeX
The expression is rendered accessibly, with its LaTeX source preserved below.
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Y = f(x_1, x_2, \dots, x_k) + \epsilon