semidefinite
- adjective
- /ˌsɛmɪˈdɛfɪnɪt/
- Specialized
- In this context, the solution requires the matrix to be semidefinite rather than strictly positive.
Examples
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The professor explained how a semidefinite form differs from a positive definite one.
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The matrix is semidefinite.
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A semidefinite matrix is important in optimization problems involving quadratic forms.
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A semidefinite form can be useful in optimization problems.
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In optimization problems, a semidefinite matrix often helps identify feasible solutions.
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The eigenvalues of a semidefinite matrix are always non-negative, which is a critical property.
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To solve the system efficiently, we need to express the conditions using a semidefinite form.
Synonyms
A number that is zero or positive
Surface Forms
Morphology
Etymology
Semidefinite comes from semi- meaning 'half' or 'partly' and definite meaning 'fixed' or 'certain'. So a semidefinite matrix is 'partly definite' — it is 'not negative' but not fully 'positive', which explains why the word says it is only partly definite.