What question did this study set out to answer?

To introduce a broadly applicable quadratic programming algorithm that operates independently of existing linear programming software.

January 1, 1971IMA Journal of Applied Mathematics

A General Quadratic Programming Algorithm

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Authors

RFR. FletcherUniversity of Leeds

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Implication

Algorithmic analysis demonstrates an effective quadratic programming method in mathematical optimization, indicating broad applicability with minimized error accumulation.

Key Points

To introduce a broadly applicable quadratic programming algorithm that operates independently of existing linear programming software.
Designed an exchange-type algorithm specifically adapted for general quadratic programming formulations.
Structured variable exchange criteria to systematically curb and mitigate the numerical accumulation of error during computation.
Achieved full implementation independence by removing the prerequisite for external linear programming code.
Established a general-purpose optimization procedure that limits computational error growth through strategic exchange selection.

Cite This Study

R. Fletcher (1971) studied this question.

synapsesocial.com/papers/6a704b0a8031ec7bb1dc3ccc https://doi.org/10.1093/imamat/7.1.76

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Implication

Algorithmic analysis demonstrates an effective quadratic programming method in mathematical optimization, indicating broad applicability with minimized error accumulation.

A General Quadratic Programming Algorithm

Discussion

Member takes

Implication

Key Points

Cite This Study

A General Quadratic Programming Algorithm

Discussion

Member takes

Implication

Key Points

Cite This Study

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