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The overall strategy in fitting a curve (function y=f(x)) to a set of data points is to minimize the discrepancy between the data points y1 and the curve f(xi). A common method is to minimize the sum of the squares of the errors, ''SSE''.
Suppose we have a collection of N experimentally determined values {(xi,yi)}, and a proposed function f(x). Write an expression for SSE for this situation.
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Air at 90 kpa and -7 C enters an adiabatic diffuser steadily with a velocity of 180 m/s and leaves with a low velocity at a pressure of 100 kpa. The exit area of the diffuser is 5 times the inlet area. Determine (a) the exit temperature and (b) th..
a rigid vessel contains 10 kg of steam. the steam is initially at 10 bar and 300 c. after a period of time the pressure
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