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What is the most useful types in special cases LP?

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infeasibility

unboundedness

redundancy,

alternate optimal solutions.

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Infeasibility, unboundedness, redundancy, and alternate optimal solutions

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alternate optimal solutions
infeasibility
unboundedness
redundancy

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infeasibility, unboundedness, redundancy, and alternate optimal solutions

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Four special cases and difficulties arise at times when using the graphical approach to solving LP problems: 

  1. infeasibility
  2. unboundedness
  3. redundancy,
  4. alternate optimal solutions.
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In special cases of Linear Programming, the most useful type is often the "Degeneracy" where multiple solutions share the same objective function value. This scenario can provide insights into the structure of the problem and optimization process, allowing for more efficient algorithm design.

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infeasibility, unboundedness, redundancy, and alternate optimal solutions

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infeasibility, unboundedness, redundancy, and alternate optimal solutions

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alternate optimal solutions, redundancy, infeasibility, unboundedness

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infeasibility, unboundedness, redundancy, and alternate optimal solutions

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