Global convergence versus convergence to a global

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I have been reading many optimization papers and wanted to know what the difference between global convergence and convergence to a global is. Sounds like the same thing to me.

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Global convergence means that you will converge to a local optimum no matter what starting point you consider.

Convergence to a global means you converge to a global optimum (much harder).