• Identify the different subproblems that make up the larger problem. This can help to focus on specific areas of the problem and make it more manageable.

Problem decomposition breaks complex issues into smaller, manageable segments, streamlining analysis and resolution. This technique is ideal for optimization, allowing simultaneous or stepwise problem-solving, the latter managing escalating complexity effectively. In separable problems, variables divide into subvectors, with the goal being the sum of subvector functions, and constraints limited to individual subvectors, facilitating parallel solutions.

Read more in: Boyd, S., Xiao, L., Mutapcic, A. and Mattingley, J., 2007. Notes on decomposition methods. Notes for EE364B, Stanford University, 635, pp. 1-36.

Available at: https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=a862a57d096c908b6dcc71b0dbd21bad798dc0d7

 

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