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By Hoang Tuy

Due to the overall complementary convex constitution underlying such a lot nonconvex optimization difficulties encountered in functions, convex research performs an important position within the improvement of world optimization equipment. This ebook develops a coherent and rigorous conception of deterministic international optimization from this viewpoint. half I constitutes an creation to convex research, with an emphasis on techniques, homes and effects quite wanted for international optimization, together with these relating the complementary convex constitution. half II provides the root and alertness of worldwide seek ideas similar to partitioning and slicing, outer and internal approximation, and decomposition to common worldwide optimization difficulties and to issues of a low-rank nonconvex constitution in addition to quadratic difficulties. a lot new fabric is obtainable, other than a rigorous mathematical improvement.
Audience: The ebook is written as a textual content for graduate scholars in engineering, arithmetic, operations learn, laptop technology and different disciplines facing optimization conception. it's also addressed to all scientists in a variety of fields who're drawn to mathematical optimization.

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Extra resources for Convex Analysis and Global Optimization

Example text

Methods suitable for compound selection are the main focus of this chapter. The methods must be able to handle large data sets of high-dimensional data. For small, low-dimensional data sets, most clustering methods are applicable, and descriptions in the standard texts and implementations available in standard statistical software packages10,11 suffice. 18 The overall process of clustering involves the following steps: 1. 2. 3. 4. Generate appropriate descriptors for each compound in the data set.

Each level of the hierarchy represents a partitioning of the data set into a set of clusters. In contrast, if the data set is analyzed to produce a single partition of the compounds resulting in a set of clusters, the result is then nonhierarchical. Note that the term partitioning ................................................................................................................................................ 8 3 1 2 4 5 6 7 Figure 1 An example of a hierarchy (dendrogram) generated from the clustering of eight items (shown numbered 1–8 across the bottom).

High correlations indicate that compounds with similar properties have been clustered together. The results indicated that the Ward hierarchical method gave the best overall performance. But, this method was not well suited to processing large data sets due to the requirement for random access to the fingerprints.

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