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Working with crystals — CSD Python API 3.1.0 documentation
https://downloads.ccdc.cam.ac.uk/documentation/API/descriptive_docs/crystal.html28 Mar 2024: It is easy to make a table by symmetry operator:. >>> print('n'.join('%-17s %s' % (op, utilities.print_set(crystal.atoms_on_special_positions(op))) for op in crystal.symmetry_operators)) -
ccdc.crystal — CSD Python API 3.1.0 documentation
https://downloads.ccdc.cam.ac.uk/documentation/API/_modules/ccdc/crystal.html28 Mar 2024: atom_symmetry_relation( self._view.crystal_structure(), base, at._atom ) if op: return op.to_string() return '' return [_f(a) for a in self.atoms]. ... crystal_structure(), base, at._atom ) if op: return op.to_string() return '' return [_f(a) for a in -
ccdc.search — CSD Python API 3.1.0 documentation
https://downloads.ccdc.cam.ac.uk/documentation/API/_modules/ccdc/search.html28 Mar 2024: int, float)): crit = SubstructureSearchLib.InclusiveRange(min(a, r[1]), max(a, r[1])) else: raise TypeError('Invalid type for condition %s' % r) elif isinstance(a, str): op = a.strip() if op == '==': ... crit = SubstructureSearchLib.EqualTo(r[1]) elif op -
Geoffrey Cloud - Clare Hall
https://www.clarehall.cam.ac.uk/directory/geoffrey-cloud/26 Mar 2024: Professor Geoffrey Cloud Professor Cloud trained in medicine in London and worked as an … -
Astronomy & Astrophysics manuscript no. SHARDDS ©ESO 2022August…
https://people.ast.cam.ac.uk/~wyatt/dmac22.pdf22 Mar 2024: For the clustering of data and to guide the interpretation, wealso extracted environmental data from either the adaptive op-tics telemetry3 or the Astronomical Site Monitor (ASM) of theCerro Paranal Observatory4. ... We found much lower correlation rates -
Beyond Distributive Fairness in Algorithmic Decision Making: Feature…
https://mlg.eng.cam.ac.uk/adrian/AAAI18-BeyondDistributiveFairness.pdf21 Mar 2024: We provide fast submodular mechanisms to op-timize the tradeoff between procedural fairness and predic-tion accuracy. ... Rather, we sometimes see a sig-nificant change in the whole feature set used, in order to op-timize the objective. -
Understanding the Bethe Approximation: When and How can it ...
https://mlg.eng.cam.ac.uk/adrian/abc.pdf21 Mar 2024: See 5.1 in the Appendix for further analysis. 6 EXPERIMENTS. We are interested in the empirical performance of the op-timum Bethe marginals and partition function, as the re-. ... Results on the validation set are shown in Figure 4, indi-cating that FW -
C:/Users/Adrian/Documents/GitHub/betheClean/docs/nb-UAI.dvi
https://mlg.eng.cam.ac.uk/adrian/nb-UAI.pdf21 Mar 2024: accuracy) of ageneralbinarypairwise MRF. Runtime is practical forsmall real-world problems. • This now allows the accuracy of the global Bethe op-timum to be tested. • ... Importantly, we now have the opportunity to ex-amine rigorously the -
Orthogonal Estimation of Wasserstein Distances Mark Rowland∗1 Jiri…
https://mlg.eng.cam.ac.uk/adrian/AISTATS19-slicedwasserstein.pdf21 Mar 2024: Genevay, A., Cuturi, M., Peyré, G., and Bach, F.(2016). Stochastic Optimization for Large-scale Op-timal Transport. ... 2018). Computational Op-timal Transport. arXiv. Pitié, F., Kokaram, A. C., and Dahyot, R. -
TibGM: A Transferable and Information-Based Graphical Model Approach…
https://mlg.eng.cam.ac.uk/adrian/ICML2019-TibGM.pdf21 Mar 2024: Kappen, H. Path integrals and symmetry breaking for op-timal control theory.
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