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Module 3 : Problem Discretization using Approximation Theory |
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Section 8 : Appendix: Necessary and Sufficient Conditions for
Unconstrained Optimality |
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Definition 40 (Positive Semi-definite Matrix) : A matrix is called positive semi-definite if for every we have |
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---- (332) |
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Definition 41 (Negative
Definite Matrix) : A matrix is called negative definite if for every  |
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---- (333) |
whenever  |
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Definition 42 (Negative Semi-definite Matrix) : A matrix is called negative semi-definite if for every we have |
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---- (334) |
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