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# problem.estimateRowDualRanges

Purpose
Performs a dual side range sensitivity analysis, i.e. calculates estimates for the possible ranges for dual values.
Topic areas
Sensitivity Analysis, LP, Optimizer
Synopsis
`mindual, maxdual = problem.estimateRowDualRanges(rowind, iterlim)`
Arguments

rowind: list[constraint] | Row indices to analyze.
iterlim: int | Effort limit expressed as simplex iterations per row.

Return value

mindual: list[float] | Estimated lower bounds on the possible dual ranges.
maxdual: list[float] | Estimated upper bounds on the possible dual ranges.

Further information
1. This function applies to linear and convex quadratic (including second order conic) problems only.
2. This function may provide better results for individual row dual ranges when called for a larger number of rows, as it collect infomation for all rows while working on individual rows.
3. This function cannot be called while the current problem is being solved or when it is in an interrupted state. Use problem.postSolve to restore the problem to a non-solving state.
4. Argument rowind may contain either xpress.constraint objects or integer indices.
Related topics
problem.lpOptimize, problem.strongBranch
Parent Topic Xpress problem object methods

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