It is based on the following assumptions;
(1) Steady flow
(2) Incompressible flow
(3) Inviscid flow (zero viscosity)
(4) Flow along a streamline
If a studied flow does not match these parameters, Bernoulli's theory is not applicable.
(James R)
sampling theorem is used to know about sample signal.
sam. theorm
The central limit theorem can be used to determine the shape of a sampling distribution in which of the following scenarios?
The Central Limit Theorem (abbreviated as CLT) states that random variables that are independent of each other will have a normally distributed mean.
Possibly Descartes
it doesn't define direction of velocity
norton's theorem is valid only for linear elements.. The power dissipation across norton equivalent circuit in not identical with the power dissipation in real system circuit...
Bernoullis principle
I cannot see where the Nyquist theorem relates to cables, fiber or not.The theorem I know, the Nyquist-Shannon sampling theorem, talks about the limitations in sampling a continuous (analog) signal at discrete intervals to turn it into digital form.An optical fiber or other cable merely transport bits, there is no analog/digital conversion and no sampling taking place.
Airplane,ventrimeter,andpump
http://en.wikipedia.org/wiki/Bernoulli%27s_principle#Real_world_application
the correct answer is speed!
The triangle concerned MUST be a right-angle triangle. If one of the angles is not 90 degrees, you cannot use the Pythagorean theorem! Also, it must be remembered that the theorem only involves the magnitudes (lengths of the sides), you can't use it on i-j-k vectors or the like, only their magnitudes. As a result, it cannot tell us anything about the directions or angles between lines. Other than that, the Pythagorean theorem is incredibly sound!
A1V1=A2V2 or V2=(A1/A2)(V1)
Pitot tube on a plane to measure airspeed.
Yes. A+
Norton's theorem is the current equivalent of Thevenin's theorem.