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Large-Scale Nonlinear Optimization
2006Fast Linear Algebra for Multiarc Trajectory Optimization (Nicolas Berend, J. Frederic Bonnans, Julien Laurent-Varin, MounirHaddou, Christophe Talbot).- Lagrange Multipliers with Optimal Sensitivity Properties in Constrained Optimization (Dimitri P. Bertsekas).- n O(n^2) Algorithm for Isotonic Regression (Oleg Burdakov, Oleg Sysoev, Anders Grimvall ...
DI PILLO, Gianni, ROMA, Massimo
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Large-Scale Transcriptome Analysis
2017Genomic variants identified to be linked with complex traits such as blood pressure are fewer in coding sequences compared to noncoding sequences. This being the case, there is an increasing need to query the expression of genes at a genome scale to then correlate the cause of alteration in expression to the function of variants regardless of where ...
David, Weaver +2 more
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Neuromorphic Hardware, Large Scale
2014A neuromorphic hardware system is an electronic system for information processing, based, to a certain degree, on the example of the biological nervous system. The operation of the whole system resembles the behavior of a network built from “neurons” and “synapses.” The degree of biological realism varies greatly between different research projects and
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Drug Discovery Today: Technologies, 2013
The analysis of structure–activity relationships (SARs) is a central task in medicinal chemistry. Traditionally, SAR exploration has concentrated on individual compound series. This conventional approach is complemented by large-scale SAR analysis, which puts strong emphasis on data mining and SAR visualization.
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The analysis of structure–activity relationships (SARs) is a central task in medicinal chemistry. Traditionally, SAR exploration has concentrated on individual compound series. This conventional approach is complemented by large-scale SAR analysis, which puts strong emphasis on data mining and SAR visualization.
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Large-Scale Portfolio Optimization
Management Science, 1984This paper describes a practical algorithm for large-scale mean-variance portfolio optimization. The emphasis is on developing an efficient computational approach applicable to the broad range of portfolio models employed by the investment community. What distinguishes these from the “usual” quadratic program is (i) the form of the covariance matrix ...
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Large-Scale Unconstrained Optimization
This work is a survey on the methods for large scale unconstrained optimization. Besides its own theoretical importance, the growing interest in the last years in solving problems with a larger and larger number of variables are arising very frequently from real world as a result of modeling systems with a very complex structure. In this paper the mainopenaire +2 more sources
Large Scale Paper Chromatography
Science, 1950C, YANOFSKY, E, WASSERMAN, D M, BONNER
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On the limited memory BFGS method for large scale optimization
Mathematical programming, 1989Dong C. Liu, J. Nocedal
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