Answer:
The spring was compressed by 0.684 m
Explanation:
Soring constant, k = 4.75
The applied force, F = 3.25 N
Note that spring will compress back by the same distance it expands
Compression, x = ?
Using the equation F = kx
3.25 = 4.75x
x = 3.25/4.75
x = 0.684 m
The spring was compressed by 0.684 m
Force = mass x acceleration
25N = 0.40kg x acceleration
25N/0.40kg = acceleration
acceleration = 62.5 N/kg
N/kg is the equivalent of m/s²
So your acceleration is 62.5 meters per second squared
Answer:
OPTIMISATION
Explanation:
Optimisation is a mathematical theory for developing strategies that maximize gains and minimize losses while adhering to a given set of rules and constraints.
The theory has a target function to be maximised or minimised, dependent on its explanatory variable(s), with respect to which the function has to be maximised or minimised. It also has constraints which might be binding factors to maximisation / minimisation.
Eg : Revenue optimising output is found by maximising profit function with respect to constraint function in forms of cost etc.
Well, actually a heat engine using the Carnot cycle whose cold reservoir is maintained at 0 K could in principle be 100% efficient, even if the hot reservoir was merely at the ambient temperature. Since it costs no energy at all to maintain a heat reservoir at the ambient temperature as long as you have a perfect thermal connection to a large thermal capacitor like your swimming pool or a nearby aquifer you’d have built a perpetual motion machine.
London <span>dispersion force is the force that is directly related to the number of electrons.
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