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Home » Partial Derivatives

Partial Derivatives
Deep Dive into Multivariable Calculus

Boost your calculus skills — Gain a deep understanding of Partial Derivatives — Tackle multivariable calculus challenges with confidence

Functions of Several Variables

29 min 6 Examples

  • Overview of Functions of Several Variables
  • Example of Evaluating and finding the domain of a function of several variables
  • Example #2 Find and Sketch domain of a function of several variables
  • Example #3 Find and Sketch the domain of a function of several variables
  • Example #4 Find the domain and Range of a function of several variables
  • Example #1 of Sketching a 3D function and finding its domain and range
  • Example #2 of Sketching a 3D function and finding its domain and range

Multivariable Limits

1 hr 2 min 2 Examples

  • Overview of Continuity and Discontinuity
  • Example #1 for proving a function is continuous or discontinuous
  • Example #2 for proving a function is continuous or discontinuous

Partial Derivative

58 min 9 Examples

  • Partial Differentiation Overview
  • Example of how a function increases/decreases using partial derivatives
  • Example #1 of Finding First Order Partial Derivatives
  • Example #2 of Finding First Order Partial Derivatives
  • Example #3 of Finding First Order Partial Derivatives
  • Example #1 of finding slope of the tangent when a surface intersects a plane
  • Example #2 of finding slope of the tangent when a surface intersects a plane
  • Example of using partial derivatives to find the rate of change of volume
  • Overview of Higher Order Partial Derivatives
  • Example #1 of Finding Second Order Derivatives
  • Example #2 of Finding Second Order Partial Derivatives
  • Example of finding a Higher-Order Partial Derivative

Tangent Planes & Linear Approximations

1 hr 20 min 20 Examples

  • Overview of Tangent Lines and Linear Approximation for Single Variable Calculus
  • Overview of Tangent Planes and Linear Approximation for Multivariable Calculus
  • Example #1 of finding Linear Approximation using a tangent line
  • Example #2 of finding Linear Approximation using a tangent line
  • Example #3 of using a linear approximation using a tangent line
  • Example #4 of using a linear approximation using a tangent line
  • Example #1 of finding Linear Approximation using the tangent plane
  • Example #2 of finding Linear Approximation using a tangent plane
  • Example of finding where a tangent plane is horizontal
  • Overview of Differentiability in Multivariable Calculus
  • Example of showing a function of two or more variables is differentiable
  • Definition and Example for Finding the Total Differential of a Function
  • Example of using the Total Differential in finding max error for a circular spa
  • Example of using the Total Differential in finding max error for a rectangular box
  • Example of using the Total Differential in estimating the amount of tin for a can

Multivariable Chain Rule

1 hr 6 min 10 Examples

  • Overview of the Chain Rule for Single Variable Calculus
  • Two Examples of using the Chain Rule for 2D
  • Overview of the Two Cases of the Chain Rule for Multivariable Calculus
  • Example #1 of Chain Rule for 3D – Case 1
  • Example #2 of Chain Rule for 3D – Case 1
  • Example #3 of Chain Rule for 3D – Case 1
  • Example #4 of Chain Rule for 3D – Case 2
  • Example #5 of Chain Rule for 3D – Case 2
  • Overview of the General Version of the Chain Rule
  • Example of General Version of Chain Rule for 3D
  • Overview of Implicit Differentiation for 2D and 3D
  • Proof of Implicit Differentiation for 3D
  • Example #1 of Implicit Differentiation for 3D
  • Example #2 of Implicit Differentiation for 3D

Directional Derivatives & Gradient Vectors

58 min 7 Examples

  • What is a Directional Derivative?
  • Definition of the Directional Derivative Analytically and Geometrically
  • Example #1 of finding the Directional Derivative given a vector
  • Example #2 of finding the Directional Derivative given a vector
  • Example #3 of finding the Directional Derivative given an angle
  • Importance of the Gradient Vector for finding maximum increase
  • Example #1 of finding the maximum rate of change and its direction
  • Example #2 of finding the maximum rate of change and its direction
  • Overview of Tangent Planes to Level Surfaces
  • Example #1 of writing an equation of a tangent plane to a surface
  • Example #2 of writing an equation of a tangent plan to a surface in symmetric form, and finding a normal line
  • Recap of the Significance of the Gradient Vector

Saddle Point

52 min 5 Examples

  • How did we find relative maximums and minimums in Calc 1
  • Example of finding extrema for single variable calculus
  • How do we find relative maximums and minimums in Calc 3?
  • Example #1 of max/min values for a function of several variables
  • Example #2 of max/min values for a function of several variables
  • Example #3 of max/min values for a function of several variables
  • Overview of Optimization for Multivariable Calculus
  • Example of optimization for a function of several variables

Extrema Of Multivariable Functions

33 min 3 Examples

  • How did we find Absolute Maximums and Minimums in Calc 1?
  • Example of finding Absolute extrema for single variable calculus
  • How do we find Absolute Maximums and Minimums in Calc 3?
  • Example of finding Absolute Extrema on a disk
  • Example of finding Absolute Extrema on a rectangle

Lagrange Multiplier

41 min 3 Examples

  • Overview of how and why we use Lagrange Multipliers to find Absolute Extrema
  • Steps for how to optimize a function using Lagrange multipliers
  • Example #1 of using Lagrange multipliers given one constraint
  • Example #2 of using Lagrange multipliers given two constraints
  • Example #3 of using Lagrange multipliers given an inequality

Chapter Test

2 hr 35 min 19 Practice Problems

  • Determine whether the statement is true or false (Problems #1-3)
  • Determine the domain of the functions and sketch the domain (Problem #4)
  • Evaluate the limit or show that it does not exist (Problems #5-6)
  • Find the first partial derivatives for each function (Problems #7-8)
  • Find all second order partial derivatives for the given function (Problem #9)
  • Find an equation of a tangent line to the surface at a point (Problem #10)
  • Find the partial derivatives implicitly (Problem #11)
  • Find the directional derivative (Problem #12)
  • Find the maximum rate of change and in what direction does it occur? (Problem #13)
  • Find all local maximums, minimum or saddle points (Problem #14)
  • Find all local maximums, minimum or saddle points (Problem #15)
  • Find the absolute maximum and minimum values of the function (Problem #16)
  • Find the dimensions of a package with largest volume (Problem #17)
  • Use Lagrange multipliers to find the maximum and minimum values (Problem #18)
  • Use Lagrange multipliers to find the maximum and minimum values (Problem #19)
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