Examine the difference between using hypot and coding the basic hypot equation in M-code.

Create an anonymous function that performs essentially the same basic function as hypot.

myhypot = @(a,b)sqrt(abs(a).^2+abs(b).^2);

myhypot does not have the same consideration for underflow and overflow behavior that hypot offers.

Find the upper limit at which myhypot returns a useful value. You can see that this test function reaches its maximum at about 1e154, returning an infinite result at that point.

myhypot(1e153,1e153)

ans =
1.4142e+153

myhypot(1e154,1e154)

ans =
Inf

Do the same using the hypot function, and observe that hypot operates on values up to about 1e308, which is approximately equal to the value for realmax on your computer (the largest representable double-precision floating-point number).

Input arrays, specified as scalars, vectors, matrices, or multidimensional
arrays. Inputs A and B must
either be the same size or have sizes that are compatible (for example, A is
an M-by-N matrix and B is
a scalar or 1-by-N row vector).
For more information, see Compatible Array Sizes for Basic Operations.

If neither A nor B is Inf,
but one or both inputs is NaN, then hypot returns NaN.

Data Types: single | double Complex Number Support: Yes