Partial Differentiation and Its Applications - Advanced Calculus
This course introduces multi-variable real-valued functions and thoroughly addresses their limits, continuity, partial and total derivatives, applications and related concepts. You will learn how to: - Define and classify real-valued functions of several variables and their properties, such as domain, range, graphs, level curves and surfaces - Find the limit of a function of several variables as the independent variables approach certain values, and use the formal and informal definitions of limits - Find the continuity of a function of several variables at a point or on a set, and use the graphical, formal, and informal definitions of continuity - Find the partial derivative of a function of several variables with respect to one of the independent variables, and use the formal definition and various rules of partial differentiation - Find the higher-order partial derivatives of a function of several variables by applying the partial differentiation rules repeatedly, and use the notation and terminology for higher partial derivatives - Find the partial derivative of a function of several variables that is composed of other functions, and use the chain rule to differentiate composite functions - Find the partial derivative of a function of several variables that is homogeneous, and use the Euler's theorem to simplify the calculation - Find the total differential and derivative of a function of several variables, and use them to approximate the change in the function value - Find the partial derivative of a function of several variables that is defined implicitly by an equation - Find the Jacobian determinant of a function of several variables, and use it to obtain derivatives of implicit functions - Find the Taylor series expansion of a function of several variables, and use it to approximate the function value and its derivatives - Find the equation of the tangent plane and the normal line to a surface defined by a function of two variables, and use them to analyze the local behaviour of the surface - Find the extreme values of a function of several variables, and use the partial derivatives and the second derivative test to determine the nature of the extrema - Find the extreme values of a function of several variables subject to some constraint, and use the partial derivatives and the method of Lagrange multipliers to solve the constrained optimization problem This course is suitable for anyone who wants to learn or review the advanced topics of calculus and its applications. It is especially useful for students and professionals in analysis, differential equations, optimization, physics, engineering, and other related fields. By the end of this course, you will have a solid understanding of derivatives of functions of several variables. You will also be able to apply the knowledge and skills you gain to real-world problems and challenges that involve functions of several variables and their derivatives. Once enrolled, you have access to dynamic video lessons, interactive quizzes, and live chat support for an immersive learning experience. You engage with clear video explanations, test your understanding with instant-feedback quizzes and interact with our expert instructor and peers in the chat room. Join a supportive learning community to exchange ideas, ask questions, and collaborate with peers as you master the material, by enrolling right away.
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$ 10.00
One-time payment
Course Chapters
1Introduction
Meaning of real-valued functions of several variables - domain, range, graphs, level curves, surfaces and computer-aided visualizations.
2Limits
Formal and informal definitions, evaluation of limits of functions of several variables.
3Continuity
Continuity of functions of several variables.
4Partial Derivatives
Formal definition of differentiability for functions of several variables; notations and evaluation of first and higher-order partial derivatives.
5Composite Functions
Partial derivatives of composite functions of several variables - chain rule of differentiation.
6Implicit Differentiation
Differentiation of implicitly-defined functions of several variables and an introduction to the Jacobian determinant.
7Theorems on Jacobians
Some theorems on Jacobian determinants - the implicit function theorem and its implications.
8Homogeneous Functions
Meaning of homogeneous functions; Euler's theorem for homogeneous functions.
9Taylor's Theorem
Taylor's theorem for functions of two variables.
10Extreme Values
Getting the stationary points of a function of several variables by application of partial derivatives.
11Lagrange Multipliers
Getting the stationary points of a function of several variables subject to some condition by application of partial derivatives and the method of Lagrange multipliers.
12Gradients and Directional Derivatives
Applications of partial derivatives - gradient of a differentiable function and its relation to the directional derivative.
13Tangent Plane and Normal Line
Applications of partial derivatives - tangent plane and normal line to a surface.
14Tangent Line and Normal Plane
Applications of partial derivatives - tangent line and normal plane to a curve.