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  2. Jenks natural breaks optimization - Wikipedia

    en.wikipedia.org/wiki/Jenks_natural_breaks...

    The Jenks optimization method, also called the Jenks natural breaks classification method, is a data clustering method designed to determine the best arrangement of values into different classes. This is done by seeking to minimize each class's average deviation from the class mean, while maximizing each class's deviation from the means of the ...

  3. Method of fundamental solutions - Wikipedia

    en.wikipedia.org/wiki/Method_of_fundamental...

    The MFS has proved particularly effective for certain classes of problems such as inverse, [10] unbounded domain, and free-boundary problems. [11] Some techniques have been developed to cure the fictitious boundary problem in the MFS, such as the boundary knot method, singular boundary method, and regularized meshless method.

  4. Quasilinearization - Wikipedia

    en.wikipedia.org/wiki/Quasilinearization

    The solution of this linear equation (with zero boundary conditions) might be called y k+1. Computation of y k for k=1, 2, 3,... by solving these linear equations in sequence is analogous to Newton's iteration for a single equation, and requires recomputation of the Fréchet derivative at each y k. The process can converge quadratically to the ...

  5. Pressure-correction method - Wikipedia

    en.wikipedia.org/wiki/Pressure-correction_method

    The name of this class of methods stems from the fact that the correction of the velocity field is computed through the pressure-field. The discretization of this is typically done with either the finite element method or the finite volume method. With the latter, one might also encounter the dual mesh, i.e. the computation grid obtained from ...

  6. Linear discriminant analysis - Wikipedia

    en.wikipedia.org/wiki/Linear_discriminant_analysis

    For instance, the classes may be partitioned, and a standard Fisher discriminant or LDA used to classify each partition. A common example of this is "one against the rest" where the points from one class are put in one group, and everything else in the other, and then LDA applied. This will result in C classifiers, whose results are combined.

  7. Standard step method - Wikipedia

    en.wikipedia.org/wiki/Standard_Step_Method

    To find the length of the gradually varied flow transitions, iterate the “step length”, instead of height, at the boundary condition height until equations 4 and 5 agree. (e.g. For an M1 Profile, position 1 would be the downstream condition and you would solve for position two where the height is equal to normal depth.)