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  • JMP Security Notice: CVE-2026-109618 and CVE-2026-109619

    JMP promptly initiated a review of its products, services, and relevant infrastructure for exposure to CVE-2026-109618 and CVE-2026-109619.

    Our assessment of JMP products has not identified exposure to these vulnerabilities. Where remediation was required within supporting environments, appropriate security updates and controls have been applied and validated.

    We have identified no evidence of successful exploitation or unauthorized access to JMP systems or customer information associated with these vulnerabilities.

    JMP continues to monitor the issue and relevant vendor guidance. No action is required by JMP customers at this time.

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Calculating the missing values in AHP matrix

Calculating the missing values in AHP matrix

I have an incomplete AHP matrix, and I want to define the missing data using JMP, which method of screening values do you advice me to use, normal imputation,  SVD imputation, or RPCA imputation. My second question as one part of the AHP matrix is equal to 1 divided on the second part. How can I tell JMP that to screen only the half of missed value which it located upper or under the diagonal axis and then to calculate the second half from the obtained result, or is there any symbol that I can use so JMP will not consider one part as a missing value but also will not affect the calculation of the other missing values

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