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Quantum EngineeringYear 0: Mathematical FoundationsMonth 2Day 38

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Year 0·Month 2·Week 2

Day 38: The Gradient and Directional Derivatives

Day 38 of 2,016~8 min read

Learning Objectives

  • •Define and compute the gradient vector
  • •Understand the geometric meaning of the gradient
  • •Compute directional derivatives
  • •Find the direction of maximum rate of change
  • •Apply gradients to optimization problems

Today's Schedule (7 hours)

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On this page

1 Definition2 Notation3 The Gradient as an OperatorGradient ExamplesExample 1 PolynomialExample 2 ExponentialExample 3 Three VariablesDirectional Derivatives4 Motivation5 Definition6 Formula Using the Gradient7 Important NotesDirectional Derivative ExamplesExample 4 Computing D_ufExample 5 Direction from AngleProperties of the Gradient8 Maximum Rate of Change9 Key Properties10 Gradient Perpendicular to Level CurvesMore ExamplesExample 6 Maximum Rate of ChangeExample 7 Temperature GradientPractice ProblemsLevel 1 Computing GradientsLevel 2 Directional DerivativesLevel 3 Maximum RateLevel 4 ApplicationsLevel 5 TheoryAnswersQuantum Mechanics ConnectionThe Momentum OperatorProbability CurrentPotential EnergyDaily ChecklistPreview Tomorrow
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