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5.5. Constrained optimization in general case (part 2). - National Research University Higher School of Economics - Coursera.mp4

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5.5. Constrained optimization in general case (part 2). - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 18.93 MB
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5.4. Constrained optimization in general case (part 1). - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 13.91 MB
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5.6. Application of the bordered Hessian in the constrained optimization. - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 21.39 MB
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6.1. Envelope Theorem. - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 21.62 MB
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5.3. Bordered Hessian. - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 27.49 MB
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6.2. Envelope Theorem for constrained optimization. - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 13.25 MB
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5.2. Weierstrass theorem. Compact sets. - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 23.19 MB
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5.1. Example of the solution of the constrained optimization. - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 18.05 MB
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6.3. Examples of the Envelope Theorem application (part 1). - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 18.89 MB
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4.6. Sylvester's criterion (part 1). - National Research University Higher School of Economics - Coursera.mp4
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6.4. Examples of the Envelope Theorem application (part 2). - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 19.72 MB
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4.5. Quadratic forms. Positive definiteness. Negative definiteness. - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 22.80 MB
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6.5. Interpretation of the Lagrangian multiplier. - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 29.91 MB
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4.4. Critical point. Taylor's formula. - National Research University Higher School of Economics - Coursera.mp4
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6.6. Relaxing assumptions using second order conditions. - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 23.09 MB
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4.3. Unconstrained optimization. - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 25.48 MB
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7.1. How to identify global extrema- (part 1) - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 31.16 MB
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4.2. Global max. Local max. Saddle point. - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 28.23 MB
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7.2. How to identify global extrema- (part 2) - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 31.97 MB
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4.1. Introduction in optimization. - National Research University Higher School of Economics - Coursera.mp4
MP4 2 years ago 29.21 MB
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