Linear Programming

Gass, S. I. (1985). Linear Programming: Methods and Applications. McGraw-Hill.

Type

Book

Intellectual base

Textbook

Year

1985

Link

https://openlibrary.org/works/OL906489W not authoritativematched

Cited from

operations_research

Cited by

1 citation across 1 artifact.

Each citation links to the sentence it supports in the citing article.

Primes

• Sensitivity Analysis (in Operations Research)
  • global-sensitivity libraries (SALib in Python, sensitivity package in R) provide Sobol, Morris, and other methods based on the variance decomposition framework formalized by Saltelli (2002); scenario-management tools (dedicated what-if-analysis platforms, built-in solver capabilities) support multi-scenario analysis; and academic references (Wallace-Ziemba 2005 for stochastic programming contexts; Saltelli et al. for global sensitivity; general OR textbooks for LP sensitivity) cover the methodological breadth.

    This sourceClassical LP textbook; develops post-optimality and parametric analysis as canonical solver-side outputs.

Verification

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Registry ID ref:ab4723ce050b · see in the full table