MA 242.003 Day 19- February 1, 2013 Begin Differential Multivariable Calculus Section 11.1 Section 9.6.

Slides:



Advertisements
Similar presentations
Chapter 17 Multivariable Calculus.
Advertisements

Vector Functions and Space Curves
Chapter 11-Functions of Several Variables
Equation of a Tangent Line
ESSENTIAL CALCULUS CH11 Partial derivatives
Calculus 2413 Ch 3 Section 1 Slope, Tangent Lines, and Derivatives.
Chapter 14 – Partial Derivatives
MA Day 24- February 8, 2013 Section 11.3: Clairaut’s Theorem Section 11.4: Differentiability of f(x,y,z) Section 11.5: The Chain Rule.
Analyzing Multivariable Change: Optimization
MAT 3730 Complex Variables Section 4.1 Contours
1 CALCULUS Even more graphing problems
© 2010 Pearson Education, Inc. All rights reserved.
Copyright © 2008 Pearson Education, Inc. Chapter 9 Multivariable Calculus Copyright © 2008 Pearson Education, Inc.
Chapter 14 – Partial Derivatives 14.8 Lagrange Multipliers 1 Objectives:  Use directional derivatives to locate maxima and minima of multivariable functions.
Chapter 16 – Vector Calculus
Copyright © 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 4 Applications of the Derivative.
(MTH 250) Lecture 24 Calculus. Previous Lecture’s Summary Multivariable functions Limits along smooth curves Limits of multivariable functions Continuity.
Chapter 5 Graphing and Optimization Section 5 Absolute Maxima and Minima.
MA Day 21- February 5, 2013 Section 11.2: Limits and Continuity Section 11.3: Partial Derivatives.
Copyright © 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Chapter 12 Functions of Several Variables.
Main Menu Salas, Hille, Etgen Calculus: One and Several Variables Copyright 2003 © John Wiley & Sons, Inc. All rights reserved. Elementary Examples a.
MA Day 25- February 11, 2013 Review of last week’s material Section 11.5: The Chain Rule Section 11.6: The Directional Derivative.
Advance Calculus Diyako Ghaderyan 1 Contents:  Applications of Definite Integrals  Transcendental Functions  Techniques of Integration.
Chapter 13 – Vector Functions 13.2 Derivatives and Integrals of Vector Functions 1 Objectives:  Develop Calculus of vector functions.  Find vector, parametric,
Dr. Larry K. Norris MA Spring Semester, 2013 North Carolina State University.
MAT 213 Brief Calculus Section 4.2 Relative and Absolute Extreme Points.
Directional Derivatives and Gradients
Jump to first page Calculus III Hughs-Hallett Math 232 A,B Br. Joel Baumeyer.
Section 9.6: Functions and Surfaces Practice HW from Stewart Textbook (not to hand in) p. 683 # 9-13, 19, 20, 23, 24, 25 Handout Sheet 1-6, 7-27 odd.
3.1 Derivatives of a Function, p. 98 AP Calculus AB/BC.
11.6 Surfaces in Space.
MA Day 34- February 22, 2013 Review for test #2 Chapter 11: Differential Multivariable Calculus.
Section 15.2 A Brief Catalogue of the Quadratic Surfaces; Projections
11 Copyright © Cengage Learning. All rights reserved. 14 Partial Derivatives.
MA Day 30 - February 18, 2013 Section 11.7: Finish optimization examples Section 12.1: Double Integrals over Rectangles.
Calculus Chapter 2 SECTION 2: THE DERIVATIVE AND THE TANGENT LINE PROBLEM 1.
Functions of Several Variables 13 Copyright © Cengage Learning. All rights reserved.
Section 15.2 Optimization. Recall from single variable calculus Let f be continuous on a closed, bounded interval, [a,b], then f(x) has both a global.
AP CALCULUS AB CHAPTER 4, SECTION 2(ISH) Area 2013 – 2014 Revised
15 Copyright © Cengage Learning. All rights reserved. Vector Analysis.
Chapter 5 Graphing and Optimization Section 2 Second Derivative and Graphs (Part I)
Section 14.3 Local Linearity and the Differential.
Chapter 14 – Partial Derivatives 14.1 Functions of Several Variables 1 Objectives:  Use differential calculus to evaluate functions of several variables.
MA Day 13- January 24, 2013 Chapter 10, sections 10.1 and 10.2.
MA Day 58 – April 9, MA The material we will cover before test #4 is:
Chapter 3 Linear Systems Review
Functions of Several Variables
Dr. Larry K. Norris MA Fall Semester, 2016 North Carolina State University.
Differential Equations
Vectors and the Geometry of Space
Parametric Equations and Polar Coordinates
Chapter 2 Applications of the Derivative
Surfaces.
Sketching the Derivative
Applications of the Derivative
The Derivative and the Tangent Line Problems
Chapter 4: Lesson 4.5 Graphs of Sine and Cosine Functions
Which of the equations below is an equation of a cone?
Warm Up Chapter 3.4 Concavity and the Second Derivative Test
Which of the equations below is an equation of a cone?
Concavity and the Second Derivative Test
Concavity and the Second Derivative Test
Section 15.1 Functions of Several variables
Find the directional derivative of the function at the given point in the direction of the vector v. {image}
Warm Up Chapter 3.4 Concavity and the Second Derivative Test
Optimization and Related Rates
Applications of the Derivative
Warm Up Chapter 3.4 Concavity and the Second Derivative Test
Chapter 4 Graphing and Optimization
Analyzing Multivariable Change: Optimization
Presentation transcript:

MA Day 19- February 1, 2013 Begin Differential Multivariable Calculus Section 11.1 Section 9.6

Chapter 11: Differential multivariable calculus

Chapter 11

Chapter 11: Partial Derivatives

Application of partial derivatives Optimization Find the local and global maxima and minima of functions f(x,y) of 2 variables

Domain:

Sketching Ellipsoids

(continuation of problem)

Sketching Parabaloids

(continuation of problem)

Sketching Parabaloids

(continuation of problem)

Sketching Parabaloids

(continuation of problem)

Sketching Parabaloids

(continuation of problem)

Sketching Cones

(continuation of problem)

Sketching Planes

Sketching Cylinders Definition: A cylinder is a surface in space that is the graph of an equation involving AT MOST two of the three variables x, y and z.

Sketching Cylinders Definition: A cylinder is a surface in space that is the graph of an equation involving AT MOST two of the three variables x, y and z.

My standard picture of a curve: