I have been reading Stephen Boyd's book Convex Optimization and I have learned to form various problems like LP, QP, QCQP, SOCP or SDPs. I also learned about formulating SVM for classification problem as optimization problem.(adsbygoogle = window.adsbygoogle || []).push({});

Now I am reading about Gradient Methods, Newton's method, etc. which would be used to solve the above mentioned problems.

However, I just came across Particle Swarm Optimization (PSO). So, it makes me wonder whether PSO is as good and effective in solving the above problem types? Does it perform as well as Newton's method? Does anyone have some experience with this?

Thanks

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# Particle Swarm Optimization vs. Newton's Method

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