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hello and welcome back to my channel so today weamp;#39;re going to do yet another one of these live recordings of me doing some matlab code this isnamp;#39;t going to be too involved it builds on the ideas that weamp;#39;ve been going through over the past week so weamp;#39;ve been talking about radial basis function interpolation we did it for one dimension then we showed how to do it for higher dimensions and gave a two-dimensional example with frankieamp;#39;s function which is standard benchmark and well then we did two different lectures one making the exponential.product kernel go faster and then yesterday made the gaussian rbf go faster and we saw a hundred a fold increase in the speed from when weamp;#39;re using for loops today weamp;#39;re going back to for loops because i want to show you how to do something with a different rbf and this is the wendland rbf these are radial basis functions and letamp;#39;s say and they look like this so uh this is a wendland
