The best approximation is, of course, the exact value. A reasonable approximation is 106.
An approximation of some mathematical object (such as the number 2 , the function sin(x) , a circle, or something else) is another mathematical object (such as value 1.414, a function x−x36 , a regular polygon with 64 sides) that has almost the same value or function values or shape as the original object.There are many different reasons for making an approximation. It can be that we have no way to know the exact value, for example if we solve an equation by plotting agraph on a piece of paper and read the value from the x-axis, then we only get an approximation of the exact value. It can be that we know the exact value, say e+2 , but we can't use that exact value, perhaps we need to draw a line of length e+2 cm, then we need a numerical approximation of the original value. 107 is an approximation of the number of seconds in a year. Perhaps we don't know how to draw the graph of the sin function, then we can make an approximation with another function that has approximately the same function values within some range of the argument.In every approximation we introduce an error by definition, since we are not using the correct value. This error can sometimes be controlled; for instance we make a smaller error if we use 3.1416 instead of 4 as the value of . The magnitude of the error that can be accepted depends on what we wish to do with the approximation.When we wish to approximate a function by another function, we can have different requirements on the approximation. Sometimes, the approximating function may be required to pass through the actual points of the function, in which case we are dealing with a class of approximation techniques known as interpolation. When merely having common points is not enough, one may require that the approximating function to have the same derivatives as the actual function (see Taylor series). Other times, we may wish for the values of the approximation to differ from the exact values by less than a certain amount within a certain interval (see uniform convergence), or the approximations to be as close to the actual amounts as possible (see least square approximations).
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An approximation error is the discrepancy between an exact value and the approximation to it. This occurs when the measurement of something is not precise.
Usually, in terms of school work, an exact answer leaves pi in the answer. Since pi is an irrational number, as soon as you try to substitute a value for it in your calculations, you are introducing an approximation. So, for a circle with radius 5 cm, a circumference given as 10*pi cm is an exact answer but 31.4159 cm is an approximation.
The best approximation is, of course, the exact value. A reasonable approximation is 106.
It is a rounded approximation or estimate.
It is not clear why you would want to estimate a number when you know the exact value! One approximation is 8000.
If I'm reading in between line corectly if p is 1 that is the approximation. If this did not answer the problem feel free to contact me.
The difference between a measurement and an estimation is that a measurement is an exact data while an estimation is a guess as to what something may measure. For example, you can use a ruler to get the exact measurements of a piece of paper. However, if you don't have a ruler, you can make an educated guess as to what the paper's length and width measurements may be.
The difference between the Actual Value & Earned Value is the Project Cost Variance
the DIFFERENCE between the place value and the face value is 991
An approximation of some mathematical object (such as the number 2 , the function sin(x) , a circle, or something else) is another mathematical object (such as value 1.414, a function x−x36 , a regular polygon with 64 sides) that has almost the same value or function values or shape as the original object.There are many different reasons for making an approximation. It can be that we have no way to know the exact value, for example if we solve an equation by plotting agraph on a piece of paper and read the value from the x-axis, then we only get an approximation of the exact value. It can be that we know the exact value, say e+2 , but we can't use that exact value, perhaps we need to draw a line of length e+2 cm, then we need a numerical approximation of the original value. 107 is an approximation of the number of seconds in a year. Perhaps we don't know how to draw the graph of the sin function, then we can make an approximation with another function that has approximately the same function values within some range of the argument.In every approximation we introduce an error by definition, since we are not using the correct value. This error can sometimes be controlled; for instance we make a smaller error if we use 3.1416 instead of 4 as the value of . The magnitude of the error that can be accepted depends on what we wish to do with the approximation.When we wish to approximate a function by another function, we can have different requirements on the approximation. Sometimes, the approximating function may be required to pass through the actual points of the function, in which case we are dealing with a class of approximation techniques known as interpolation. When merely having common points is not enough, one may require that the approximating function to have the same derivatives as the actual function (see Taylor series). Other times, we may wish for the values of the approximation to differ from the exact values by less than a certain amount within a certain interval (see uniform convergence), or the approximations to be as close to the actual amounts as possible (see least square approximations).
5.1
Pi is a mathematical constant which represents the ratio of the circumference to the diameter of a circle.Pi is an irrational number, so an exact value cannot be given.Decimal approximation: 3.1415926535897932384626433832795028841971693993751058209749...