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Mathematics
Multivariable Calculus
1. Foundations of Three-Dimensional Space
2. Vector-Valued Functions and Space Curves
3. Functions of Several Variables
4. Partial Derivatives
5. Optimization of Multivariable Functions
6. Multiple Integrals
7. Vector Calculus
Partial Derivatives
Introduction to Partial Derivatives
Definition of Partial Derivatives
Notation for Partial Derivatives
Computing First Partial Derivatives
Geometric Interpretation
Slopes of Tangent Lines
Rate of Change
Higher-Order Partial Derivatives
Second Partial Derivatives
Mixed Partial Derivatives
Clairaut's Theorem
Higher-Order Derivatives
The Total Differential
Definition of Differentials
Linear Approximation
Error Estimation
Applications of Differentials
The Chain Rule for Multivariable Functions
Chain Rule with One Independent Variable
Chain Rule with Multiple Independent Variables
Tree Diagrams
Applications of the Chain Rule
Implicit Differentiation
Implicit Functions of Two Variables
Implicit Functions of Three Variables
Related Rates in Multiple Variables
Directional Derivatives
Definition of Directional Derivatives
Computing Directional Derivatives
Properties of Directional Derivatives
Maximum Rate of Change
The Gradient Vector
Definition of the Gradient
Properties of the Gradient
Gradient as Direction of Steepest Ascent
Gradient and Level Curves
Gradient and Normal Vectors
Tangent Planes and Normal Lines
Tangent Planes to Surfaces
Equation of Tangent Plane
Finding Tangent Planes
Normal Lines to Surfaces
Linear Approximation of Functions
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3. Functions of Several Variables
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5. Optimization of Multivariable Functions