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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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/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 the data being used for planning is complete and consistent. Look for missing values or outliers that could affect the matrix calculations.
- Increase Maximum Iterations: If possible, increase the maximum number of iterations allowed for the SVD calculation in the configuration settings. This can sometimes help the algorithm converge.
- Matrix Preprocessing: Consider preprocessing the matrix to improve its condition. This might involve scaling or transforming the data.
- Review Configuration: Check the configuration settings in the APO system to ensure they are appropriate for the data and the planning scenario.
- System Resources: Monitor system resources during the planning run. If resources are constrained, consider optimizing the system or running the process during off-peak hours.
- Use Alternative Algorithms: If the problem persists, consider using alternative algorithms or methods for the specific planning task that may be more robust to the data characteristics.
Related Information:
If the issue persists after trying the above solutions, it may be necessary to involve SAP support for further investigation and assistance.
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