Overview Contents: Introduction - Guest-Logistics, Convex Functions - Vector Composition - Optimal And Locally Optimal Points - Linear-Fractional Program - Generalized Inequality Constraints - Lagrangian, Lagrange Dual Function - Complementary Slackness - Applications Section Of The Course-Statistical Estimation - Continue On Experiment Design - Linear Discrimination (Cont.),LU Factorization (Cont.) - Algorithm Section Of The Course - Continue On Unconstrained Minimization - Newton - Logarithmic Barrier-Interior-Point Methods
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Expiry period | Lifetime | ||
Made in | English | ||
Last updated at | Sun Feb 2025 | ||
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Total lectures | 19 | ||
Total quizzes | 0 | ||
Total duration | 24:00:05 Hours | ||
Total enrolment | 0 | ||
Number of reviews | 0 | ||
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Short description | Overview Contents: Introduction - Guest-Logistics, Convex Functions - Vector Composition - Optimal And Locally Optimal Points - Linear-Fractional Program - Generalized Inequality Constraints - Lagrangian, Lagrange Dual Function - Complementary Slackness - Applications Section Of The Course-Statistical Estimation - Continue On Experiment Design - Linear Discrimination (Cont.),LU Factorization (Cont.) - Algorithm Section Of The Course - Continue On Unconstrained Minimization - Newton - Logarithmic Barrier-Interior-Point Methods | ||
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