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CalcBLUE 2 : Ch. 12.4 : Derivatives & Mixed Partials

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OK, now it's time to see how multi-index notation works with derivatives. We'll see that an operator notation is very efficient, thanks the the delightful fact that mixed partial derivatives commute.
CalcBLUE 4 : Ch. 12 : THE BIG PICTURE
CalcBLUE 4 : Ch. 12 : WHICH THEOREM WHEN? : INTRO
CalcBLUE 2 : Ch. 12.1 : Recalling Taylor Series
CalcBLUE 2 : Ch. 12 : TAYLOR SERIES : INTRO
CalcBLUE 4 : Ch. 12.2 : Sneaky Example - Stokes' Theorem
CalcBLUE 4 : Ch. 12.4 : Sneaky Example - Green's Theorem
CalcBLUE 2 : Ch. 12.5 : The Taylor Formula
CalcBLUE 2 : Ch. 13.4 : Matrices and BONUS! Tensors in Taylor
CalcBLUE 4 : Ch. 12.3 : Sneaky Example - Gauss's Theorem
CalcBLUE 2 : Ch. 4 : DIFFERENTIATION : INTRO
CalcBLUE 2 : Ch. 11.3 : Relative Rates and Percentage Errors
CalcBLUE 4 : Ch. 12.1 : So Many Choices...
CalcBLUE 2 : Ch. 4.4 : THINK! About Derivatives...
CalcBLUE 2 : Ch. 4.3 : Example - a Devilishly Difficult Derivative
CalcBLUE 2 : Ch. 1 : MULTIVARIATE FUNCTIONS : INTRO
CalcBLUE 4 : Ch. 16.2 : Basis Forms in Arbitrary Dimensions
CalcBLUE 2 : Ch. 9.4 : Directional Derivatives
CalcBLUE 4 : Ch. 18.2 : The Fundamental Theorem
CalcBLUE 2 : Ch. 1 : THE BIG PICTURE
CalcBLUE 2 : Ch. 11.4 : Beyond Linear Approximation
CalcBLUE 3 : Ch. 12 : COVARIANCE MATRICES : INTRO
CalcBLUE 3 : Ch. 7.4 : The Parallel Axis Theorem
CalcBLUE 2 : Ch. 3.1 : The Derivative : The Matrix
CalcBLUE 2 : Ch. 10.3 : Tangent Planes, Parametrized
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