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  1. SAFe Program
  2. SP-472

Parallelized Regularized Calibration Solver

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    • Data Processing
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      Improves confidence and quality of calibration solution

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      Improves confidence and quality of calibration solution
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      • Description of empirical relationship between the smoothness constraint and the level of noise.
      • Quality constraints: for non smooth solutions
      • Parallel performance measurement (will be covered by SP-437/YAN-117)
      • Refactored code with slimmer interfaces.

       

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      Description of empirical relationship between the smoothness constraint and the level of noise. Quality constraints: for non smooth solutions Parallel performance measurement (will be covered by SP-437 /YAN-117) Refactored code with slimmer interfaces.  
    • Team_YANDA
    • Sprint 5
    • 6.4

    • PI24 - UNCOVERED

    Description

      We need to better understand how to use smoothness constraints and how they behave (data quality) for large numbers of channels with varying gains, RFI, artifacts, and up-to-date visibility data sets. Besides the data quality, the parallel performance/scaling will be analysed.

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          Feature - A Feature is a service that fulfills a stakeholder need. Each feature includes a benefit hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile Release Train (ART) in a Program Increment (PI). SP-437 Assess the performance of MPC consensus approaches

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          relates to

          Feature - A Feature is a service that fulfills a stakeholder need. Each feature includes a benefit hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile Release Train (ART) in a Program Increment (PI). SP-616 Improve Sparse Matrix Support in Yandasoft Regularised Solver

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          • Done
          mentioned in

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                b.mort Mort, Ben
                m.dolensky Dolensky, Markus [X] (Inactive)
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