Thanks for the links, Peter. I will probably use that software or
similar, to get a quick solution, then look at the MOOCs.

On Fri, Sep 20, 2019 at 2:52 PM Pieter Steenekamp
<piet...@randcontrols.co.za> wrote:
>
> Two possible approaches are:
> a) Solve the problem yourself. Use one or a combination of standard 
> algorithms ( eg you mentioned linear programming and greedy algorithms, there 
> are many more of course) and/or your own custom algorithm. If you wish to go 
> this route and want to learn about the subject, I recommend the series of 
> MOOCS by Stanford's Tim Roughgarden 
> https://www.coursera.org/specializations/algorithms
> Or, I think yours is probably a knapsack -type problem and the MOOC 
> https://www.coursera.org/learn/discrete-optimization covers that relatively 
> well.
> b) But if you just want to get the solution you can use optimization software 
> like https://www.ibm.com/za-en/products/ilog-cplex-optimization-studio (they 
> have a free edition that will be good enough for your application) will solve 
> it for you without you necessarily knowing how the software does it.
>
> On Fri, 20 Sep 2019 at 21:00, Gary Schiltz <g...@naturesvisualarts.com> wrote:
>>
>> I'd like advice on possible ways to solve the following problem
>> (plumbers must surely face this all the time). I need to cut a set of
>> metal tubes of varying lengths from standard length (6 meter)
>> galvanized conduit stock. The goal is to find the number of tubes I
>> need to buy, and the order of cuts to produce the minimum amount of
>> leftover, unused tube.  I'm interested in what types of solutions
>> people use for similar 1-dimensional problems, e.g. linear
>> programming, greedy algorithms, etc. (I've been Googling). I'm only
>> looking to cut around 15-25 pieces, so my gut feeling is that an
>> exhaustive search of all possible solutions, though probably NP-hard,
>> would be feasible to perform. Working programs, as well as libraries
>> in any language would be a bonus.
>>
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>
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