Newton's method helps you find “zeros” of a function – the points where the function's value becomes zero. For example, the polynomial
has only one zero, located at x=1. This is easy to see from the from the graph below or from the equation (plug in x=1; the first term becomes zero).
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Newton's method gives yet another way to find the zeros of a function – one that is especially useful for computers and calculators.
In algebra class we spent a lot of time finding zeros of lines and polynomials and other functions. We sometimes call these zeros the “roots” of the function, implying that they somehow ground and characterize the function. Why do we care so much about finding zeros? What's special about the points where the function crosses the axis? Go ahead and think about that for a moment, then scroll down to see what we thought.
Solve
for a Value
You can make any “solve for a value”
problem (f(x)=a) into a “find a zero”
problem – just find the zeros of f(x)-a=0
instead.
Solve
for an Equation
This is still true even if the “solve-for”
value is another equation or system of equations: you can still
easily turn it into a zero-finding problem.
Factoring
Polynomials
Once you know the zeros of a polynomial, you also
know how to factor it.
Find
minima and maxima
The
minima and maxima of a function are found where the
derivative has zeros ( f´(x)=0).
Find
singular points
The function 1/f(x) will blow
up (diverge to infinity) where f(x) has zeros.
Since so many other problems may be reduced to the simpler “find-the-zeros” problem, we'd like to have several good ways to do so.
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