How To Fix /SAPAPO/MATRIX007 - Maximum number of iterations has been reached; SVD was not found


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/MATRIX -

  • Message number: 007

  • Message text: Maximum number of iterations has been reached; SVD was not found

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message /SAPAPO/MATRIX007 - Maximum number of iterations has been reached; SVD was not found ?
    The SAP error message /SAPAPO/MATRIX007 Maximum number of iterations has been reached; SVD was not found typically occurs in the context of SAP Advanced Planning and Optimization (APO) when the system is unable to compute the Singular Value Decomposition (SVD) of a matrix within the allowed number of iterations. This can happen during various planning processes, such as demand planning or supply network planning.
    Causes:
    
    Matrix Characteristics: The matrix being processed may be ill-conditioned or singular, which makes it difficult for the algorithm to converge to a solution.
    Data Quality Issues: Missing or inconsistent data can lead to problems in matrix calculations.
    Configuration Settings: The maximum number of iterations set in the system may be too low for the complexity of the data being processed.
    Resource Limitations: Insufficient system resources (memory, CPU) can hinder the computation process.
    Algorithm Limitations: The specific algorithm being used may not be suitable for the data characteristics.
    
    Solutions:
    
    Check Data Quality: Ensure that

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