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Re: creating an array in a loop

On 6/4/09 at 3:32 AM, ir12 at (Igor R.) wrote:

>I am new to Mathematica programming I have the following question.
>How to create an array in a loop? I have the code


>Neps0; Nlmbd=10;


>deps0=0.1; eps0=0.0;
>For[lmbd=0; ieps0=1;, \
>lmbd<=Nlmbd-1; ieps0 <= Neps;, \
>lmbd=lmbd+1; ieps0=ieps0+1;,\

>(where Func[a,b] is some function)

>What is wrong with it, why this does not work?

I am guessing you intended to have two criteria for determining
when the loop ends. Specifically, lmbd =E2=89=A4 Nlmbd-1 and ieps0 =E2=89=
Neps0. But you have used a complex expression to join these two
criteria. Mathematica will only see the result from the last.
That is your exit criteria written as:

lmbd<=Nlmbd-1; ieps0 <= Neps0;

will not never output either a True or False value. That is you
cannot use a semicolon to join test criteria. Nor can you use it
to terminate your test criteria. Assuming I have correctly
interpreted your intent, the loop test needs to be either

lmbd =E2=89=A4 Nlmbd-1 && ieps0 =E2=89=A4 Neps


And[lmbd =E2=89=A4 Nlmbd-1, iesp0 =E2=89=A4 Neps0]

It looks like you may have typos in the loop code. You have
variables in your loop named similar to loop counters but not
identical. Possibly, this is correct and you have these variable
defined elsewhere or perhaps this is an error. I can't determine
which is the case for certain.

=46inally, while it is possible to do what you want using For
loops, this tends to be very inefficient in Mathematica. Other
constructs generally execute far faster than For loops while
still generating the same result. For example consider the following:

In[2]:= Timing[For[n = 0; sum = 0, n < 10^6, n++; sum += n]; sum]

Out[2]= {3.41602,500000500000}

In[3]:= Timing[Plus @@ Range[10^6]]

Out[3]= {0.284018,500000500000}

In[4]:= Timing[Total[Range[10^6]]]

Out[4]= {0.235723,500000500000}

In[5]:= Timing[Sum[n, {n, 10^6}]]

Out[5]= {0.242449,500000500000}

In[6]:= Timing[Sum[k, {k, m}] /. m -> 10^6]

Out[6]= {0.000392,500000500000}

All produce exactly the same result. But there is a vast
difference in execution time with the For loop being the slowest.

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