Abstract
Numerical models are widely used in engineering and scientific studies. Making a number of simulation runs at various input configurations is what we call a computer experiment. The design problem is the choice of inputs for efficient analysis of data. Experimental design is an intelligent way to pick the choice of input combinations for minimizing the number of computer model runs for the purpose of data analysis, inversion problems, and input uncertainty assessment. One way to carry the above tasks on experimental design results is to build a response surface. A response surface is an empirical fit of computed responses as a function of input parameters.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
