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Applied Calculus (Chapters 1 - 3) - Course — 161 episodes · page 2 of 2
Chapter 2.1: Inverse Functions - 08) One to One Definition
Chapter 2.1: Inverse Functions - 09) One to One Practice
Chapter 2.1: Inverse Functions - 10) Practice with Inverses
Chapter 2.1: Inverse Functions - 11) Derivative of Inverse Function
Chapter 2.1: Inverse Functions - 12) Practice of Inverse Prime
Chapter 2.1: Inverse Functions - 01) intro
Chapter 2.1: Inverse Functions - 02) Example 1
Chapter 1.6: Linearization and Differentials - 05) Example not in textbook
Chapter 1.6: Linearization and Differentials - 06) Example 5: Bacteria
Chapter 1.6: Linearization and Differentials - 07) Relative Change
Chapter 1.6: Linearization and Differentials - 08) Analysis of E
Chapter 1.6: Linearization and Differentials - 09) Differential Formulas
Chapter 1.5: Business and Economic Optimization Problems - 03) Example 3: Average Cost
Chapter 1.5: Business and Economic Optimization Problems - 04) Example 4: Stereos
Chapter 1.5: Business and Economic Optimization Problems - 05) Example 5: Theatre
Chapter 1.5: Business and Economic Optimization Problems - 06) Elasticity of Demand
Chapter 1.5: Business and Economic Optimization Problems - 07) Elasticity of Demand Revisited
Chapter 1.5: Business and Economic Optimization Problems - 08) Relative Change
Chapter 1.6: Linearization and Differentials - 01) Linearization
Chapter 1.6: Linearization and Differentials - 02) Example 1
Chapter 1.6: Linearization and Differentials - 03) Examples 2 and 3
Chapter 1.6: Linearization and Differentials - 04) Differentials
Chapter 1.5: Business and Economic Optimization Problems - 01) Example 1
Chapter 1.5: Business and Economic Optimization Problems - 02) Example 2: Bicycles
Chapter 1.3: Concavity and the Second Derivative - 12) Example 11
Chapter 1.3: Concavity and the Second Derivative - 13) Example 12
Chapter 1.3: Concavity and the Second Derivative - 14) Implicit Differentiation
Chapter 1.4: Geometric Optimization Problems - 01) Examples 1 and 2
Chapter 1.4: Geometric Optimization Problems - 02) Example 3: Rancher
Chapter 1.4: Geometric Optimization Problems - 03) Example 4: Open Top
Chapter 1.4: Geometric Optimization Problems - 04) Example 5: River
Chapter 1.3: Concavity and the Second Derivative - 03) Example 3
Chapter 1.3: Concavity and the Second Derivative - 04) Example 4
Chapter 1.3: Concavity and the Second Derivative - 05) Concavity and Points of Inflection
Chapter 1.3: Concavity and the Second Derivative - 06) Concavity and 2nd Derivative
Chapter 1.3: Concavity and the Second Derivative - 07) Example 5
Chapter 1.3: Concavity and the Second Derivative - 08) 2nd Derivative Test for Relative Extrema
Chapter 1.3: Concavity and the Second Derivative - 09) Example 6
Chapter 1.3: Concavity and the Second Derivative - 10) Example 8
Chapter 1.3: Concavity and the Second Derivative - 11) Example 10
Chapter 1.3: Concavity and the Second Derivative - 01) Higher Order Derivatives
Chapter 1.3: Concavity and the Second Derivative - 02) Example 2
Chapter 1.2: First Derivative Test - 03) Example 3
Chapter 1.2: First Derivative Test - 04) Example 4
Chapter 1.2: First Derivative Test - 05) Example 5
Chapter 1.2: First Derivative Test - 06) Example 6
Chapter 1.1: Extrema of a Function - 06) Example 2 and 3
Chapter 1.1: Extrema of a Function - 07) Finding Extreme Values
Chapter 1.1: Extrema of a Function - 08) Critical Point Test Theroem
Chapter 1.1: Extrema of a Function - 09) Example 6
Chapter 1.2: First Derivative Test - 01) First Derivative test
Chapter 1.2: First Derivative Test - 02) Examples 1 and 2
Brief Review - 01) Part One
Brief Review - 02) Part Two
Brief Review - 03) Part Three
Brief Review - 04) Part Four
Chapter 1.1: Extrema of a Function - 01) Continuous Functions and Intervals
Chapter 1.1: Extrema of a Function - 02) Maximums and Minimums
Chapter 1.1: Extrema of a Function - 03) Extreme Value Theorem
Chapter 1.1: Extrema of a Function - 04) Relative Max. and Min.
Chapter 1.1: Extrema of a Function - 05) Critical Numbers and Points