I know a little something about this, and I think Harbor is a great place for Marissa to learn some real things about life beyond her melodramatic, spoiled existence.īut she also makes new friends! Johnny (who is cute), his girlfriend Casey (also sweet and adorable), and Chili (NO ONE CALLS HIM THAT), who is a total doofus. Maybe not such a great idea to flaunt your privilege to kids who don’t come from money and who have to work twice as hard for their future, which tends to discourage them from working very hard at all. To be fair, Marissa does look very princess-y. Anyway, let’s meet the new kids! There’s Heather, who is awful and totally has it out for Marissa, tormenting her about the shooting and her princess outfits. Mostly the episode does this by relying on generic rock guitar riffs, to show you that this place is edgy. The show goes to great pains to make it clear that Newport Union, a public school, is not as great as Harbor, which is more elite and for Children of Privilege. It’s Marissa’s first day of school! At Newport Union, anyway.
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It should be attracting new investment, businesses and homeowners. It is the very heart of the city, the neighborhood where newcomers often land. Its poorest neighborhoods, in particular, will never be revitalized and residents of those areas will continue to suffer the most.īut Pine Hills is especially vital to Albany's future. The violence is, if you'll excuse the word, deadly to everything Albany wants to become and should be. What's happening in Albany right now can't become the new normal. Well, I can't blame Anane for doing what he can to bring attention to the issue of rising crime and the plight of the area between Washington Park and The College of Saint Rose, where much of Pine Hills' crime is concentrated. Mayor Kathy Sheehan, meanwhile, has voiced "complete confidence" in Hawkins, and her spokesman, David Galin, accused Anane of engaging in "baseless attacks" and "political grandstanding." "Can you imagine if this was happening in Bethlehem?"Īnane claimed he's received overwhelming support for his call and told me seven members of the Common Council have privately agreed Hawkins should go. "The reality is even worse than people think," said Anane, first elected to the council in 2017. It was only the latest crime to rattle a neighborhood where, according to Anane, police have recovered 200 shell casings this year. "The status quo is not working."Īnane, who represents the Pine Hills neighborhood, first called for Hawkins' departure last weekend after a brazen Friday afternoon shooting on Hamilton Street killed an 18-year-old. "The fact that the streets are getting more and more dangerous under his watch means we need a new approach," Anane told me. Might a new police chief have fresh ideas? A different vision? A new tone? Anane thinks it's time to find out. W_temp2 = Array ( Float64, Nalal, Naa ) Xx = xx + ( xmax - xx )/(( Nxx - i + 1 )^ spacing )į_util ( c ) = c. Consider the following minimal working example preserving the irregular grid of the original problem which highlights the point I think (the only action is in the loop, the other stuff is just generating the irregular grid): The interpolation itself was much faster now than MATLAB's interp1 but somewhere on the way that advantage was lost. #Gridded interpolation matlab code#The Julia code was still 3 times slower which left me puzzled again. Equipped with that, I went back to my original problem and reran it. He translated the interpolation method into C and made it such that it uses multiple threads (I am working with 12 threads). So I asked a friend of mine who knows a little bit of C and he was so kind to help me out. Nobody knows what exactly the interp1 is doing. The bottom line was that the Dierckx package apparently calls some Fortran code which seems to pretty old (and slow, and doesn't use multiple cores. The post is messy and you don't need to read through it I think. It gave exactly the same result but it was about 50 times slower which puzzled me. I was translating my MATLAB code into Julia and used the Dierckx package in Julia to do the interpolation (there weren't some many alternatives that did spline on an irregular grid as far as I recall). Gridding is the process of converting irregularly spaced data to a regular grid (gridded data).My original problem is a dynammic programming problem in which I need to interpolate the value function on an irregular grid using a cubic spline method. Radial basis function ( Polyharmonic splines are a special case of radial basis functions with low degree polynomial terms).Polyharmonic spline (the thin-plate-spline is a special case of a polyharmonic spline).tetrahedron) interpolation (see barycentric coordinate system) Triangulated irregular network-based linear interpolation (a type of piecewise linear function).Triangulated irregular network-based natural neighbor.They should all work on a regular grid, typically reducing to another known method. Schemes defined for scattered data on an irregular grid are more general. The cubic Hermite spline article will remind you that C I N T x ( f − 1, f 0, f 1, f 2 ) = b ( x ) ⋅ ( f − 1 f 0 f 1 f 2 ) -dimensional summation. Tensor product splines for N dimensions Ĭatmull-Rom splines can be easily generalized to any number of dimensions. See also Padua points, for polynomial interpolation in two variables. The colours represent the interpolated values. Three of the methods applied on the same dataset, from 25 values located at the black dots. n-cubic interpolation (see bi- and tricubic interpolation)īitmap resampling is the application of 2D multivariate interpolation in image processing.n-linear interpolation (see bi- and trilinear interpolation and multilinear polynomial).Their heights above the ground correspond to their values.įor function values known on a regular grid (having predetermined, not necessarily uniform, spacing), the following methods are available. Comparison of some 1- and 2-dimensional interpolations.īlack and red/ yellow/ green/ blue dots correspond to the interpolated point and neighbouring samples, respectively.
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