79. Suppose you are using an underwater probe to search fora sunken ship. At any time in the search, your probe islocated at some point (x,y) in a grid, where the distancebetween lines in the grid is some convenient unit suchas 100 meters. The sunken ship is at some unknownlocation on the grid, (X,Y). If your probe is at (x,y),you will move it to one of the eight nearby grid points(x21,y21), (x21,y), (x21,y11), (x,y21), (x,y11),(x11,y21), (x11,y), or (x11,y11), with probability 1/8each, for the next search. If you start at (0,0) and the shipis at (5,2), use simulation to estimate the probability thatyou will find the ship in 100 moves or fewer.
Minimization
In mathematics, traditional optimization problems are typically expressed in terms of minimization. When we talk about minimizing or maximizing a function, we refer to the maximum and minimum possible values of that function. This can be expressed in terms of global or local range. The definition of minimization in the thesaurus is the process of reducing something to a small amount, value, or position. Minimization (noun) is an instance of belittling or disparagement.
Maxima and Minima
The extreme points of a function are the maximum and the minimum points of the function. A maximum is attained when the function takes the maximum value and a minimum is attained when the function takes the minimum value.
Derivatives
A derivative means a change. Geometrically it can be represented as a line with some steepness. Imagine climbing a mountain which is very steep and 500 meters high. Is it easier to climb? Definitely not! Suppose walking on the road for 500 meters. Which one would be easier? Walking on the road would be much easier than climbing a mountain.
Concavity
In calculus, concavity is a descriptor of mathematics that tells about the shape of the graph. It is the parameter that helps to estimate the maximum and minimum value of any of the functions and the concave nature using the graphical method. We use the first derivative test and second derivative test to understand the concave behavior of the function.
79. Suppose you are using an underwater probe to search fora sunken ship. At any time in the search, your probe islocated at some point (x,y) in a grid, where the distancebetween lines in the grid is some convenient unit such
as 100 meters. The sunken ship is at some unknownlocation on the grid, (X,Y). If your probe is at (x,y),you will move it to one of the eight nearby grid points(x21,y21), (x21,y), (x21,y11), (x,y21), (x,y11),(x11,y21), (x11,y), or (x11,y11), with probability 1/8each, for the next search. If you start at (0,0) and the shipis at (5,2), use simulation to estimate the probability thatyou will find the ship in 100 moves or fewer.
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