14.6: Directional Derivatives and the Gradient Vector (1/2)
Objectives: 11. Define the directional derivative. 12. Define and compute the gradient of a function. 13. Know that the gradient at a point is orthogonal to the level set containing the point. 14. Find the direction in which a function increases most rapidly and find the directional derivative in that direction.

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14.6: Directional Derivatives and the Gradient Vector (2/2)

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14.1: Functions of Several Variables

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14.5: The Chain Rule

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Geometric Meaning of the Gradient Vector

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14.7: Maximum and Minimum Values (1/2)

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14.7: Maximum and Minimum Values (2/2)

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Why the gradient is the direction of steepest ascent

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Gradients and Partial Derivatives

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