Big Data Optimization

\r\n The term oBig Data is here: information of immense sizes is getting to be universal. With this, there is a need to take care of advancement issues of exceptional sizes. Machine learning, compacted detecting, informal organization science and computational science are some of the meager clear application areas where it is anything but difficult to plan improvement issues with millions or billions of variables. The long-established advance calculations are not intended to scale to occasions of this size, new methodologies are required.

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  • Optimization of big data in mobile networks
  • Computational problems in magnetic resonance imaging

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