The stackup conditions are developed using the new bi

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Unformatted text preview: s or conducting experiments or running simulations. The input variables X={X1,X2, … Xn} are continuous random variables. In general, they could be mutually dependent. There are a variety of methods and techniques available for the above computational problem. Essentially, the methods can be categorized into four classes [Nigam,1995]: · Linear Propagation (Root Sum of Squares) · Non-linear propagation (Extended Taylor series) · Numerical integration (Quadrature technique) · Monte Carlo Simulation The linear propagation can possibly be employed if the assembly response function is a linear analytic function. If the assembly response function is non-linear, application of linear propagation could lead to serious errors. In such a case, an extended Taylor series approximation for the relationship f can possibly be employed. For this, f needs to be available in analytic form. If the function f is not available in analytic form, the quadrature technique and the Monte Carlo simulation can be employed...
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This note was uploaded on 08/03/2010 for the course DD 1234 taught by Professor Zczxc during the Spring '10 term at Magnolia Bible.

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