Logo Questions Linux Laravel Mysql Ubuntu Git Menu
 

Approximate e^x

I'd like to approximate the ex function.

Is it possible to do so using multiple splines type based approach? i.e between x1 and x2, then

y1 = a1x + b1, between x2 and x3,

then

y2 = a2x + b2

etc

This is for dedicated fpga hardware and not a general purpose CPU. As such I need to create the function myself. Accuracy is much less of a concern. Furthermore I can't really afford more than one multiplication circuit and/or multiple shifts/adders. Also I want something much smaller than a CORDIC function, in fact size is critical.

like image 931
trican Avatar asked Aug 08 '11 15:08

trican


People also ask

How do you approximate an ex?

ex = limn→∞(1+xn)n = ∞∑k=0xkk! Here the symbol ∼ means that the ratio of the two sides goes to 1 as x goes to 0. You can see this approximation in the figure. Around x=0, the blue graph of ex and the red graph of 1+x are almost indistinguishable.

What is the formula of approximate?

The linear approximation formula is based on the equation of the tangent line of a function at a fixed point. The linear approximation of a function f(x) at a fixed value x = a is given by L(x) = f(a) + f '(a) (x - a).

What is approximate value example?

For example, while performing a calculation using π we certainly use the value π=3.14, but the value of pi is supposed to be 3.142857142857143. Hence, π=3.14 is an approximate value to make the calculation convenient.


1 Answers

How about a strategy like this that uses the formula

ex = 2 x/ln(2)

  1. Precalculate 1/ln(2)
  2. Multiply this constant by your argument (1 multiplication)
  3. Use binary shifts to raise 2 to the integer portion of the power (assumes exp+mantissa format)
  4. Adjust based on the fractional power-of-2 remainder (likely a second multiplication)

I realize this is not a complete solution, but it does only require a single multiplication and reduces the remaining problem to approximating a fractional power of 2, which should be easier to implement in hardware.

Also, if your application is specialized enough, you could try to re-derive all of the numerical code that will run on your hardware to be in a base-e number system and implement your floating point hardware to work in base e as well. Then no conversion is needed at all.

like image 90
Lucas Avatar answered Sep 17 '22 12:09

Lucas