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84893992756
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note
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mod(ρ) - ρ, whereas the difference that we consider involves a projection on a priori constraints as well.
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11
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84894002183
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The term "stagnation" is interpreted to be the vanishing of the change between iterates
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The term "stagnation" is interpreted to be the vanishing of the change between iterates.
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12
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84894011474
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note
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N and in almost all cases of interest is a smooth submanifold, possibly with boundary. When encountered in the discussion, linear or affine subspaces will be explicitly identified as such.
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13
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84944812185
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Histogram matching as a new density modification technique for phase refinement and extension of protein molecules
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Zhang, K.Y.J.1
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15
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84894002192
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note
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In the case of support constraint with positivity, the constraint subspace is a smooth space with boundary, and the relevant dimensionality is that of the space without boundary.
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16
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84867549090
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The question of phase retrieval in optics
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Walther, A.1
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17
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84894008240
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note
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For a smooth subspace C with tangent space X at a ∈ C, the affine approximation to C at a is the space C′ = X + a. By taking the set of all differences of elements in C′, one recovers the linear space: X = C′ - C′.
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18
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84894004080
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Random projections and the optimization of an algorithm for phase retrieval
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V. Elser, "Random projections and the optimization of an algorithm for phase retrieval," J. Phys. A. Math. Gen. 35, 1-13 (2002),
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21
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0000604654
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On least-squares refinement of the phases of crystallographic structure factors
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0029170210
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Crambin: A direct solution for a 400 atom structure
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24
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0027909076
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On the application of the minimal principle to solve unknown structures
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25
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0038266150
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Phase retrieval, Gerchberg-Saxton algorithm, and Fienup variants: A view from convex optimization
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H. H. Bauschke, P. L. Combettes, and D. R. Luke, "Phase retrieval, Gerchberg-Saxton algorithm, and Fienup variants: a view from convex optimization," J. Opt. Soc. Am. A 18, 1334-1345 (2002).
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