Two friends are arguing about their algorithms. The first one claims his O(n\log n)-time algorithm is always faster than the second friend's O(n^{2})-time algorithm. To settle the issue, they perform a set of experiments. Show that it is possible to find an input n<100 that the O(n^{2})-time algorithm runs faster, and only when n\geq100 that the O(n\log n)-time algorithm is faster.

Consider a large isothermal enclosure that is maintained at a uniform temperature of 2000 k. calculate the emissive power of the radiation that emerges from a small aperture on the enclosure surface. what is the wavelength ? , below which 10% of the emission is concentrated? what is the wavelength ? 2 above which 10% of the emission is concentrated? determine the wavelength at which maximum spectral emissive power occurs. what is the irradiation incident on a small object placed inside the enclosure?

Inspection for bearing condition will include: (clo4) a)-color b)-smell c)-size d)-none of the above

Avolume of 2.65 m3 of air in a rigid, insulated container fitted with a paddle wheel is initially at 264 k, 5.6 bar. the air receives 432 kj by work from the paddle wheel. assuming the ideal gas model with cv = 0.71 kj/kg • k, determine for the air the amount of entropy produced, in kj/k