Exam 14: Directional Derivatives, Gradients, and Extrema
Exam 1: Preparing for Calculus160 Questions
Exam 2: Limits and Continuity122 Questions
Exam 3: The Derivative104 Questions
Exam 4: More About Derivatives100 Questions
Exam 5: Applications of the Derivative170 Questions
Exam 6: The Integral129 Questions
Exam 7: Applications of the Integral163 Questions
Exam 8: Techniques of Integration169 Questions
Exam 9: Infinite Series200 Questions
Exam 10: Parametric Equations; Polar Equations132 Questions
Exam 11: Vectors; Lines, Planes, and Quadric Surfaces in Space138 Questions
Exam 12: Vector Functions120 Questions
Exam 13: Functions of Several Variables100 Questions
Exam 14: Directional Derivatives, Gradients, and Extrema80 Questions
Exam 15: Multiple Integrals181 Questions
Exam 16: Vector Calculus180 Questions
Exam 17: Differential Equations99 Questions
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Let . Then f has a relative minimum at
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An equation of the tangent plane to the surface at (-8, 27, 1) is
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Let . Then the maximum value of the directional derivative is
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Let . Then the directional derivative of f at (0,1) in the direction of the unit vector which is parallel to is
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An equation of the tangent plane to the surface at (2, 4, 2) is
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Let . Then the maximum value of the directional derivative is
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An equation of the tangent plane to the surface at (0, -2, 3) is
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The absolute maximum of on or inside the triangle with vertices (0, 0), (9, 0), and (0,9) is
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An equation of the tangent plane to the surface at (-6, 3, 1) is
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An equation of the tangent plane to the surface at (3, 1, 1) is
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Let with constraint . Assume that . Then f has a relative maximum at
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Let . Then the maximum value of the directional derivative is
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The symmetric equations of the normal line to the surface at (-6, 3, 1) are
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Let . Then the directional derivative of f at in the direction of the unit vector which is parallel to where is
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