Stuck with a "lookup up" question

hello forum,
is there a function to search a column for a particular string, e.g. "*pic1*" (wildcards needed) and if there is a match than just return "pic1"? Somehow it sounds very simple - but right now I´m stuck with it. I tried "lookup" but could not get it to work that way.
Regards, Michael

Hi Michael,
I think you could build a formula to do what you are describing starting with COUNTIF(). It can count how many times "*pic1*" shows up in a column and return that number. You could then test that value and return "pic1" (or whatever) if a number value is not enough.
You could also use conditional highlighting on those cells to highlight the cells containing "pic1".
Wayne's request is a good one. You have an idea of how you want to solve a problem but it may not be the simplest or most direct way. As an example, many people come to the forum with a question about IF() and end up using LOOKUP().
What is the problem you are trying to address?
quinn

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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              

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    Thanks.
    Regards.
    NP
    What I have tried till now.
    I have one more question could you help me with this.
    I have an array list of this form.
    package mypackage1;
    import java.util.*;
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    private  int C;
    private int weight;
    public void set_p(int P1)
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    public void set_c(int C1)
    C=C1;
    public void set_weight(int W1)
    weight=W1;
    public int get_p()
    return P;
    public int get_c()
    return C;
    public int get_x()
    return weight;
    public static void main(String args[])
    ArrayList a=new ArrayList();
    ArrayList min_weights_int=new ArrayList();
    ArrayList rows=new ArrayList();
    ArrayList temp=new ArrayList();
    Hashtable h=new Hashtable();
    String v;
    int o=0;
    DD[] d=new DD[5];
    for(int i=0;i<4;i++)
    d=new DD();
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    d[i].set_c((int)(StrictMath.random()*10 + 1));
    d[i].set_weight(0);
    System.out.println("Producers");
    for(int i=0;i<4;i++)
    System.out.println(d[i].get_p());
    System.out.println("Consumers");
    for(int i=0;i<4;i++)
    System.out.println(d[i].get_c());
    System.out.println("Weights");
    for(int i=0;i<4;i++)
    System.out.println(d[i].get_x());
    for(int i=0;i<4;i++ )
    int bi =d[i].get_c();
    ArrayList row=new ArrayList();
    for(int j=0;j<4;j++)
    if( d[j].get_p() >=bi)
    d[j].set_weight((int)(StrictMath.random()*10 + 1));
    row.add("(" + bi + "," + d[j].get_p() + "," +d[j].get_x() + ")");
    else
    d[j].set_weight(0);
    row.add("null");
    rows.add(row);
    System.out.println(rows);
    int f=0;
    for(Iterator p=rows.iterator();p.hasNext();)
    temp=(ArrayList)p.next();
    String S="S" +f;
    h.put(S,temp);
    String tt=new String();
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    if(temp.get(j).toString() !="null")
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    //System.out.println(temp.get(j).toString());
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    System.out.println(l);
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    for( int j=0;j<4;j++)
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    if(l!="null")
    System.out.println("l=" +l);
    [\code]

    In your example you selected the pair with the greatest
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    distance from the second. I don't see how the distance
    function was used.
    Also it's not clear to me that there is always a solution,
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    The most obvious approach is to systematically try
    all possibilities until the answer is reached, or there
    are no possibilities left. This means backtracking whenever
    a point is reached where you cannot continue. In this case
    backtrack one step and try another possibility at this
    step. After all possible choices of the previous step,
    backtrack one more step and so on.
    This seems rather involved, and it probably is.
    Interestingly, if you know Prolog, it is ridiculously
    easy because Prolog does all the backtracking for you.
    In Java, you can implement the algorithm in much the same
    way as Prolog implementations do it--keep a list of all the
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    If you do know Prolog, you could generate lots of random
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