Inspired by this and this question (and how I handle this in practice), what is the best way to default a function value when a certain condition is met?
For example, if a function is defined as:
func[x_] := (x - 1)^2 + 5
and for values of x
less than 0, x
should equal zero. I also always want the function to evaluate even when x
is less than 0. Normally, I would handle as such:
func2[x_] := Module[{xx = x},
If[xx < 0, xx = 0];
(xx - 1)^2 + 5]
If I try to use patterns to define the conditions, I have to define the function twice for each region:
func3[x_?Positive] := (x - 1)^2 + 5
func3[x_] := 6
I've had no luck using other patterns to define the function.
While this is an admittedly easy example that can be easily handled using Max[x,0]
, etc., patterns can be much more complex such as "integers divisible by a prime number".
So, can a pattern married with a default argument handle this situation? And what is the most efficient on a computation and memory basis?
UPDATE:
Here is a more complicated version of a function to which I referred to in the comments:
func[qi_, dei_, b_, dmin_, rt_, pt_, t_] :=
Module[{ptt = Max[pt, 0], rtt = Max[rt, 0], di, diexp, xotime, xorate},
di = 1/b*((1 - dei)^-b - 1)/365;
diexp = -Log[1 - dmin]/365;
xotime = (di - diexp)/(di*b*diexp) + rtt + ptt;
xorate = qi*(1 + b*di*(xotime - ptt - rtt))^(-1/b);
Piecewise[{{qi/2 (1 + t/rtt), t <= rtt}, {qi, rtt < t <= (rtt + ptt)},
{qi*(1 + b*di*(t - rtt - ptt))^(-1/b), (rtt + ptt) < t <= xotime},
{xorate*Exp[-diexp*(t - xotime)], t > xotime}}]
]
I'll plug in random variates (which can sometimes be zero based on the distribution), and evaluate this function multiple times. However, rt
and pt
should never be negative and should default to zero. In other words, have minimum value of zero. While the way I have it works well, the original question stemmed from the idea that this could be done more efficient with a pattern. jVincent's vanishing patterns solution works only if one argument has this pattern. If both rt
and pt
have this pattern, the vanishing pattern doesn't seem to work.
Min[x,0]
asfunc[x_] := (Min[x, 0] - 1)^2 + 5
? $\endgroup$Max
in this case. $\endgroup$func[x_]=(x - 1)^2 + 5; f[x_] = Piecewise[{{func[x], x >= 0}}, func[0]]
$\endgroup$func[(_?Negative | x_: 0)] := (x - 1)^2 + 5
where x is matched as zero whenever it's negative and as it's actual match if positive? $\endgroup$