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CalcBLUE 2 : Ch. 3 : THE BIG PICTURE
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0:00:36
CalcBLUE 2 : Ch. 3 : THE DERIVATIVE : INTRO
0:00:23
CalcBLUE 2 : Ch. 3 : THE BIG PICTURE
0:06:53
CalcBLUE 2 : Ch. 3.3 : The Derivative : Notation & Examples
0:01:34
CalcBLUE 2 : Ch. 3.2 : The Derivative : Vectors of Rates of Change
0:01:41
CalcBLUE 2 : Ch. 3.1 : The Derivative : The Matrix
0:02:53
CalcBLUE 2 : Ch. 3.4 : The Derivative : Example - Sensitivity
0:01:59
CalcBLUE 2 : Ch. 2.3 : Partial Derivatives & Slopes
0:06:34
CalcBLUE 2 : Ch. 11.3 : Relative Rates and Percentage Errors
0:04:51
CalcBLUE 2 : Ch. 19.3 : Example of Lagrange : Oh, the Algebra...
0:04:50
CalcBLUE 2 : Ch. 4.3 : Example - a Devilishly Difficult Derivative
0:05:21
CalcBLUE 2 : Ch. 17.4 : Boundary Critical Points, a Nontrivial Example
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CalcBLUE 2 : Ch. 10.3 : Tangent Planes, Parametrized
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CalcBLUE 3 : Ch. 3.2 : Examples - Simple Double Integrals
0:04:48
CalcBLUE 2 : Ch. 17.3 : Optimization on an Unbounded Domain
0:03:26
CalcBLUE 2 : Ch. 9.2 : Definition of the Gradient
0:00:32
CalcBLUE 2 : Ch. 6 : DIFFERENTIATION RULES : INTRO
0:07:06
CalcBLUE 2 : Ch. 11.2 : Examples of Linear Approximation and Error Analysis
0:00:26
CalcBLUE 3 : Ch. 2 : THE BIG PICTURE
0:02:48
CalcBLUE 2 : Ch. 10.1 : Tangent Planes, Implicit
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CalcBLUE 3 : Ch. 3.1 : Limits & Double Integrals
0:03:14
CalcBLUE 2 : Ch. 17.1 : Critical Endpoints in 1-D
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CalcBLUE 2 : Ch. 13.3 : Why Taylor and BONUS! Bifurcations
0:00:28
CalcBLUE 2 : Ch. 8 : THE BIG PICTURE
0:00:25
CalcBLUE 3 : Ch. 10 : THE BIG PICTURE
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