Brown, Numerical and verbal decision analysis: comparison on practical cases. Journal of Multicriteria Decision Analysis, v. 9, pp. 263-273, 2000.Larichev OI and Brown RV (2000) Numerical and Verbal Decision Analysis: Comparison on Practical Cases Journal of Multi-Criteria Decision Analysis 9 ...
The Article begins by looking at the case law that emerged on this issue between 2001 -- which ushered in a new era of these sorts of cases -- and the Morse decision. In this section, I situate the rise of these cases in ... EG Waldman - 《Journal of Law & Education》 被引量:...
Correlation matrix between a list of dendrograms Visualize dendrograms (Chapter 9) Case of small data sets Case of dendrogram with large data sets: zoom, sub-tree, PDF Customize dendrograms using dendextend Heatmap: static and interactive (Chapter 10) ...
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To address the limitations of traditional coal pillar design methods in engineering practice for deep retreat mining roadways, this research focuses on the retreat mining face at the Pinggang Coal Mine in Heilongjiang Province. Combining mechanical exper
kmeans()function returns a list of components, including: cluster: A vector of integers (from 1:k) indicating the cluster to which each point is allocated centers: A matrix of cluster centers (cluster means) totss: The total sum of squares (TSS), i.e∑(xi−x¯)2∑(xi−x¯)...
Historically, this conceptual model was built on empirical knowledge and existed only in the mind of the experienced and well-informed engineer. Numerical analysis provides a way to present the conceptual model explicitly, such that it can be reviewed critically, and the effect of possible ...
Mathematics - Numerical AnalysisThis paper concerns the inverse scattering problem to reconstruct a local perturbation in a periodic structure. Unlike the ... A Lechleiter,R Zhang - 《Inverse Problems》 被引量: 3发表: 2018年 Multiple scale computational model for damage in composite materials In ...
## python >>> we collect each time series as a separate element in results list >>> results = [] >>> for i in range(100): >>> init_state = initRandState(N, M) >>> final_state, states, magnet_hist = runState(init_state, 1000) >>> results.append(magnet_hist) >>> >>> ...
One final comment onnp.r_is that there is an optional step argument. In this example, we can specify that this list will increment by 2: np.r_[2:10:2] array([2, 4, 6, 8]) This is a bit of a more advanced option and is not going to be intuitively obvious to a new pandas...