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Optimization Example Problems

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12 documents available in our comprehensive collection of Optimization Example Problems resources. Find practical guides, tutorials, and documentation to enhance your knowledge.

Preview of Multiobjective Optimization Scilab.pdf
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Multiobjective Optimization Scilab.pdf (Multiobjective Optimization Scilab.pdf)

564 KBm.venturinEN 12 pages
The article discusses the use of Scilab for multiobjective optimization
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Online companion) (online_companion.pdf)

99 KBEN 10 pages
It includes three sections: transformation of non-negative least squares problems into standard form, Octave programs to perform the minimization, and
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Preview of http://www.dcs.warwick.ac.uk/~czumaj/PUBLICATIONS/DRAFTS/Sublinear-time-Survey-BEATCS.pdf
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http://www.dcs.warwick.ac.uk/~czumaj/PUBLICATIONS/DRAFTS/Sublinear-time-Survey-BEATCS.pdf (Sublinear-time-Survey-BEATCS.pdf)

234 KBEN 22 pages
Sublinear-time algorithms are a rapidly emerging area of computer science, driven by the need to manage and analyze massive data sets.
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PDF (pdf-116.pdf)

721 KBSong, Liu, MaEN 5 pages
Researchers propose a design methodology for a megahertz multi-receiver wireless power transfer system, focusing on efficiency optimization and power
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PDF (paper.pdf)

1.3 MBEN 11 pages
Researchers from the University of Illinois at Urbana-Champaign explored parallelizing two-stage stochastic integer programs using branch-and-bound techniques,...
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Preview of Learning Mahalanobis Metric for Large Margin kNN
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Learning Mahalanobis Metric for Large Margin kNN (2795-distance-metric-learning-for-large-margin-nearest-neighbor-classification.pdf)

290 KBKilian Q. Weinberger, John Blitzer, Lawrence K. SaulEN 8 pages
Learns Mahalanobis distance metric for k-NN classification, ensuring same-class neighbors and large inter-class margins. Improves kNN accuracy, e.g., 1.3% test error on MNIST.
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Slides (Lect7-4up.pdf)

242 KBAlexander BockmayrEN 5 pages
Metabolism adapts to changing environments and exhibits changes in enzyme activity even in constant environments, with significant alterations during the cell...
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Preview of Coresets Estimation
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Coresets Estimation (152_main_paper.pdf)

739 KBEN 10 pages
Coresets estimate means and mean square error using limited greedy samples. The algorithm selects a weighted subset of vertices in graphs. It bounds estimation error based on location and weights.
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Preview of Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks
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Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks (2106.00774.pdf)

5.64 MBEN 32 pages
Gradient flows are used to optimize functionals in probability spaces with the Wasserstein metric. A typical approach involves the Jordan-Kinderlehrer-Otto scheme, but this is challenging in high dimensions. We propose using input-convex neural networks to approximate the scheme.
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Slides (Lect10-4up.pdf)

203 KBAlexander BockmayrEN 5 pages
Metabolism adapts to changing environments and exhibits changes in enzyme activity even in constant environments, with significant alterations during the cell...
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Preview of proceedings.mlr.press/v28/wauthier13.pdf
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proceedings.mlr.press/v28/wauthier13.pdf (wauthier13.pdf)

469 KBFabian L. Wauthier, Michael I. Jordan, Nebojsa JojicEN 9 pages
The ranking of n objects based on pairwise comparisons is a core machine learning problem, arising in recommender systems, ad placement, player ranking,...
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Preview of Loss as Model Inconsistency
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Loss as Model Inconsistency (richardson22b.pdf)

717 KBEN 30 pages
Richardson argues that loss function choice in probabilistic dependency graphs (PDGs) should align with the model, not personal preference. He shows that many standard loss functions and statistical divergences can be derived from PDG inconsistency, offering intuitive visual...
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