Analytical Evaluation of Uncertainty Propagation for Probabilistic Design Optimisation Mitchell Chen

Analytical Evaluation of Uncertainty Propagation for Probabilistic Design Optimisation Mitchell ChenThis book presents a novel approach to the evaluation and dealing with uncertainties of parameters and processes in technical systems with application to the probabilistic optimisation of engineering design while achieving the required high levels of efficiency, robustness, and reliability.

by describing some of the implications and connotations of the concept within a broader field of political and religious meanings

Sara Delmedico holds a PhD from the University of Cambridge

From a study of astronomical observations in the ancient Near East

encompassing historiography

This book explores a particular 1918-20 ‘moment’ in the British Empire’s history

trickle irrigation technology has become increasingly advanced and widespread

Huge open-air temples served the cult of Aten

and reaches some interesting conclusions about which names are more reliable guides to migration since the 14th century

the book also includes an example of a module developed and tested for non-specialist undergraduate students

and various Asian countries during the twentieth century

The chapter also examines the population genetics of global sorghum and the crop’s relationship to its wild relatives

Yahia Saleh Malmö University