The code of this text may be discovered on this GitHub folder.
One of my favourite professors all through my research informed me this:
“Simply because your algorithm is inefficient, it doesn’t imply that the issue is exhausting”
Which means that if you wish to resolve a no matter downside (simple or exhausting), there’ll all the time be an method that’s naive sufficient to be extraordinarily inefficient. For instance, let’s say it’s important to go to work in a brand new office. As a substitute of utilizing Google Maps, you begin from your home’s alley and check out all of the potential mixtures of the streets (north, south, west, and east). By the point you’ll arrive to work your organization could be submitting chapter or having you fired.
Let’s attempt to be somewhat extra formal. Let’s say that in no matter enterprise or engineering atmosphere, it’s important to discover the minimal or most of a perform. For instance, your organization has to maximise income from the gross sales of a given division. We name this perform f. The “strings” you pull, that means the choices which you can take to maximise the income is a vector x. You’ll be able to’t clearly…
