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substituted by testing whether the augmentation from the smaller object is a canonical one; the canonicity of the augmentation is veri ed by the test IsParent(X,X ) in the next algorithm The canonical labeling does not need to be xed as in the orderly generation algorithm Indeed, the relabeling of an object of size n 1 must not affect the production of an object of size n via a canonical augmentation Algorithm McKayGeneration1 (X = [x1 , x2 , , xn ], n) if (IsComplete(X)) then process X if (IsExtendible(X)) then for all inequivalent extensions of X: X = [x1 , x2 , , xn , x ] if (IsFeasible(X )) then if (IsParent(X,X )) then /* if augmentation is canonical */ McKayGeneration1(X , n + 1) The previous algorithm may appear simpler than it is, because a lot of its key features are hidden in the test (IsParent(X,X )).

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This test involves several concepts and computations related to isomorphism We delay discussing more of these details until they are needed in the second application of this method in Section 272 The important and nontrivial fact established by McKay regarding this algorithm is that if X has two extensions X1 and X2 for which X is the parent, then it is enough that these objects be inequivalent extensions to guarantee that they are inequivalent In other words, Algorithm McKayGeneration1 produces the same generation as Algorithm McKayGeneration2 below: Algorithm McKayGeneration2 (X = [x1 , x2 , , xn ], n) if (IsComplete(X)) then process X if (IsExtendible(X)) then S= for all extensions of X: X = [x1 , x2 , .

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, xn , x ] if (IsFeasible(X )) then if (IsParent(X,X ) then /* if augmentation is canonical */ S = S {X } Remove isomorph copies from S for all X S do McKayGeneration2(X , n + 1) Indeed, McKay establishes that in Algorithm McKayGeneration2 the isomorph copies removed from set S must come from symmetrical extensions with respect to the parent object X, provided that the function IsParent(X,X ) is de ned as prescribed in his article [46] Algorithm McKayGeneration1 is the stronger, more ef cient version of this method, but for some applications it may be more convenient to use the simpler form of Algorithm McKayGeneration2 McKay s method is related to the reverse search method of Avis and Fukuda [1] Both are based on the idea of having a rule for deciding parenthood for objects, which could otherwise be generated as extensions of several smaller objects.

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These are nonlinear equations that can be linearized using Taylor series. (See, e.g., 5 of [46].) Let the vector of ranges be Zr h x , a nonlinear function h x of the fourdimensional vector x representing user position and receiver clock bias, and expand the left-hand side of this equation in a Tayor series about some nominal solution xnom for the unknown vector x x1 x2 x3 x4 T of variables x1 x2 x3 x4

However, they differ in that Avis and Fukuda s method is not concerned with eliminating isomorphs, but simply repeated objects Note that all the given algorithms allow for generation from scratch when called with parameters X = [ ] and n = 0, as well as from the complete isomorph-free list.

x(k) =

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