How To Fix GA738 - Iteration terminated with divergence


GA738 - Overview

  • Message type: E = Error

  • Message class: GA - Allocations

  • Message number: 738

  • Message text: Iteration terminated with divergence

  • Show details Hide details
  • What causes this issue?

    The iteration in cycle &V1&, start date &V2&, has not converged for
    period(s) &V3&.

    System Response

    The results cannot be processed any further due to the incorrect
    iteration. The results are not posted.

    How to fix this error?

    The values computed up to the program termination are displayed in the
    list display. You may be able to discern a loop in the cycle from these
    figures.
    A error could have also arisen if you were working with unscaled
    allocation bases, and if these bases are both positive and negative for
    a sender. Activate the corresponding indicator.

    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message GA738 - Iteration terminated with divergence ?
    The SAP error message GA738, "Iteration terminated with divergence," typically occurs in the context of the SAP system's optimization or planning functions, particularly in the areas of production planning, material requirements planning, or similar processes. This error indicates that the iterative algorithm used to solve a problem has failed to converge to a solution, often due to issues with the input data or model configuration.
    Causes:
    
    Inconsistent Data: The input data may contain inconsistencies, such as incorrect or missing values, which can lead to divergence during calculations.
    Model 
    Configuration Issues: The configuration of the planning model may not be set up correctly, leading to unrealistic constraints or objectives. Parameter Settings: Incorrect parameter settings for the optimization algorithm can cause it to behave unexpectedly. Resource Constraints: If the model has overly restrictive resource constraints, it may lead to infeasibility, causing the algorithm to diverge. Numerical Instability: Sometimes, numerical issues can arise due to the scale of the

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