Media Summary: (1/4 on Differentiation of Multivariable Functions) Explains partial derivatives as derivatives of a function's traces. Notes that partial ... Justifies the power rule and shows how it abbreviates the computation of derivatives. Computes tangent lines, growth behavior ... (2/4 on Differentiation of Multivariable Functions) Derives the multivariable chain rule. Shows how to apply it to compute ...

Concise Modular Calculus 81 97 - Detailed Analysis & Overview

(1/4 on Differentiation of Multivariable Functions) Explains partial derivatives as derivatives of a function's traces. Notes that partial ... Justifies the power rule and shows how it abbreviates the computation of derivatives. Computes tangent lines, growth behavior ... (2/4 on Differentiation of Multivariable Functions) Derives the multivariable chain rule. Shows how to apply it to compute ... Justifies the chain rule. Computes tangent lines, where a function is increasing or decreasing, graphs a function and solves an ... Justifies how a derivative can be found implicitly when we cannot solve for y. Computes tangent lines via implicit differentiation ... Introduces three-dimensional coordinate systems. Shows how to represent points and figures in three dimensions using ...

Sketches the graph of a normal distribution with mean mu and standard deviation sigma. Note: Sigma is positive throughout. (3/4 on Differentiation of Multivariable Functions) Explains directional derivatives as derivatives in the direction of a given vector. Illustrates the derivative as the formal concept behind instantaneous velocities, tangent lines and general instantaneous rates of ... Defines and computes derivatives via difference quotients. Checks tangent line computations graphically. All videos and slides for ... Explains how the central limit theorem governs the probabilistic behavior of sample averages of large enough samples. Shows ... Introduces integration by parts as the reversal of the product rule. Illustrates integration by parts as a process that can be used in ...

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Concise Modular Calculus [81/97]: Partial Derivatives
Concise Modular Calculus [13/97]: Power Rule (1/8 on Differentiation Formulas)
Concise Modular Calculus [82/97]: The Multivariable Chain Rule
Concise Modular Calculus [1/97]: Why Do We Need Calculus
Concise Modular Calculus [17/97]: Chain Rule (5/8 on Differentiation Formulas)
Concise Modular Calculus [19/97]: Implicit Differentiation (7/8 on Differentiation Formulas)
Concise Modular Calculus [60/97] Points & Figures in 3-D Space (1/4 on Vector Algebra)
Concise Modular Calculus [22/97]: Graphing Parameter Dependent Functions (2/5 on Apps of Derivs)
Concise Modular Calculus [83/97]: Directional Derivatives and the Gradient
Concise Modular Calculus [8/97]: Why Do We Need Derivatives (1/5 on Derivatives)
Concise Modular Calculus [9/97]: Definition of the Derivative (2/5 on Derivatives)
Concise Modular Calculus [51/97]: The Central Limit Theorem (2/3 Connecting Data & Theory)
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Concise Modular Calculus [81/97]: Partial Derivatives

Concise Modular Calculus [81/97]: Partial Derivatives

(1/4 on Differentiation of Multivariable Functions) Explains partial derivatives as derivatives of a function's traces. Notes that partial ...

Concise Modular Calculus [13/97]: Power Rule (1/8 on Differentiation Formulas)

Concise Modular Calculus [13/97]: Power Rule (1/8 on Differentiation Formulas)

Justifies the power rule and shows how it abbreviates the computation of derivatives. Computes tangent lines, growth behavior ...

Concise Modular Calculus [82/97]: The Multivariable Chain Rule

Concise Modular Calculus [82/97]: The Multivariable Chain Rule

(2/4 on Differentiation of Multivariable Functions) Derives the multivariable chain rule. Shows how to apply it to compute ...

Concise Modular Calculus [1/97]: Why Do We Need Calculus

Concise Modular Calculus [1/97]: Why Do We Need Calculus

Explains what

Concise Modular Calculus [17/97]: Chain Rule (5/8 on Differentiation Formulas)

Concise Modular Calculus [17/97]: Chain Rule (5/8 on Differentiation Formulas)

Justifies the chain rule. Computes tangent lines, where a function is increasing or decreasing, graphs a function and solves an ...

Concise Modular Calculus [19/97]: Implicit Differentiation (7/8 on Differentiation Formulas)

Concise Modular Calculus [19/97]: Implicit Differentiation (7/8 on Differentiation Formulas)

Justifies how a derivative can be found implicitly when we cannot solve for y. Computes tangent lines via implicit differentiation ...

Concise Modular Calculus [60/97] Points & Figures in 3-D Space (1/4 on Vector Algebra)

Concise Modular Calculus [60/97] Points & Figures in 3-D Space (1/4 on Vector Algebra)

Introduces three-dimensional coordinate systems. Shows how to represent points and figures in three dimensions using ...

Concise Modular Calculus [22/97]: Graphing Parameter Dependent Functions (2/5 on Apps of Derivs)

Concise Modular Calculus [22/97]: Graphing Parameter Dependent Functions (2/5 on Apps of Derivs)

Sketches the graph of a normal distribution with mean mu and standard deviation sigma. Note: Sigma is positive throughout.

Concise Modular Calculus [83/97]: Directional Derivatives and the Gradient

Concise Modular Calculus [83/97]: Directional Derivatives and the Gradient

(3/4 on Differentiation of Multivariable Functions) Explains directional derivatives as derivatives in the direction of a given vector.

Concise Modular Calculus [8/97]: Why Do We Need Derivatives (1/5 on Derivatives)

Concise Modular Calculus [8/97]: Why Do We Need Derivatives (1/5 on Derivatives)

Illustrates the derivative as the formal concept behind instantaneous velocities, tangent lines and general instantaneous rates of ...

Concise Modular Calculus [9/97]: Definition of the Derivative (2/5 on Derivatives)

Concise Modular Calculus [9/97]: Definition of the Derivative (2/5 on Derivatives)

Defines and computes derivatives via difference quotients. Checks tangent line computations graphically. All videos and slides for ...

Concise Modular Calculus [51/97]: The Central Limit Theorem (2/3 Connecting Data & Theory)

Concise Modular Calculus [51/97]: The Central Limit Theorem (2/3 Connecting Data & Theory)

Explains how the central limit theorem governs the probabilistic behavior of sample averages of large enough samples. Shows ...

Concise Modular Calculus [29/97]: Integration by Parts (3/6 on Integration Techniques)

Concise Modular Calculus [29/97]: Integration by Parts (3/6 on Integration Techniques)

Introduces integration by parts as the reversal of the product rule. Illustrates integration by parts as a process that can be used in ...