id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
3n203x8325t	Gaofeng Jia	Kernel and Metamodel Based Methods for Analysis and Optimization of Systems under Uncertainty	2014		.txt	text/plain	357	12	0	The implementation and optimization of metamodels for efficient probabilistic performance assessment is studied, focusing on systems with very high dimensional output (something that becomes increasingly relevant with the trend of increasing complexity and scale of modern engineering problems), on the explicit incorporation of the metamodel prediction error in the performance predictions, and on real-time implementation that can support development of standalone applets. In this setting, the analysis and optimization of engineering systems involves a high computational demand, considered prohibitive for complex applications, despite recent advances in computer/computational science.	cache/3n203x8325t.txt	txt/3n203x8325t.txt