We describe an automatic typed-based analysis that infers and checks the sensitivity annotations for simple functional programs. We have implemented a prototype ...
We describe an automatic typed-based analysis that infers and checks the sensitivity annotations for simple functional programs. We have implemented a prototype ...
One approach to sensitivity analysis is to use a type-based approach, extending the Hindley-Milner type system with functional types capturing statically the ...
Fuzz uses linear types to track sensitivity and a probability monad to express randomized computation; it guarantees that any program with a certain type is ...
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Nov 15, 2022 · I am working on DoCplex to run a large model with several variables and constraints. I used the following link from sensitivity analysis in python + Docplex to ...
TL;DR: An automatic typed-based analysis that infers and checks the sensitivity annotations for simple functional programs and presents a simple sensitivity ...
Jan 7, 2023 · Parametric/sensitivity analysis of a right hand side coefficient in an optimization problem with integer variables can be done, but it is messy.
Sensitivity analysis allows us to evaluate how variations in constraints affect the optimal solution of a linear programming problem. By examining changes in ...
Apr 16, 2024 · I have a model that initially contained SOS constraints and quadratic constraints, on which I want to conduct a sensitivity analysis.
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May 28, 2021 · The sensitive analysis is used to determine how independent variable values will impact a particular dependent variable under a given set of assumptions.