'Partial derivative' presentation slideshows

Heat-conduction/Diffusion Equation

Heat-conduction/Diffusion Equation. Outline. This topic discusses numerical solutions to the heat-conduction/ diffusion equation: Discuss the physical problem and properties Examine the equation Approximate solutions using a finite-difference equation Consider numerical stability Examples.

3.13k views • 87 slides

4. Models with Multiple Explanatory Variables

4. Models with Multiple Explanatory Variables. Chapter 2 assumed that the dependent variable (Y) is affected by only ONE explanatory variable (X). Sometimes this is the case. Example: Age = Days Alive/365.25 Usually , this is not the case. Example: midterm mark depends on:

828 views • 69 slides

Advanced Physical Chemistry

1.24k views • 48 slides

Calculus Review

423 views • 35 slides

PARTIAL DERIVATIVES

PARTIAL DERIVATIVES. DANG VAN CUONG. PARTIAL DERIVATIVES. In general, if f is a function of two variables x and y , suppose we let only x vary while keeping y fixed, say y = b , where b is a constant. Then, we are really considering a function of a single variable x:

430 views • 25 slides

Lesson 2:Optimisation Techniques

401 views • 23 slides

586 views • 23 slides

Chapter 8 Multivariable Calculus

Chapter 8 Multivariable Calculus. Section 2 Partial Derivatives. Learning Objectives for Section 8.2 Partial Derivatives. The student will be able to evaluate partial derivatives and second-order partial derivatives. Introduction to Partial Derivatives.

705 views • 19 slides

Chapter 8: Partial Derivatives

Chapter 8: Partial Derivatives. Section 8.3. Written by Dr. Julia Arnold Associate Professor of Mathematics Tidewater Community College, Norfolk Campus, Norfolk, VA With Assistance from a VCCS LearningWare Grant. In this lesson you will learn

292 views • 18 slides

Calculus Review

261 views • 16 slides

Chapter 6 Basics of Finite Difference

Chapter 6 Basics of Finite Difference. OUTLINE 6.1 Components of Numerical Methods 6.2 Introduction to Finite Difference 6-3 Errors Involved in Numerical Solutions 6-4 Example. 6.1 Components of numerical methods (3) Discretization methods (Finite Difference)-1.

835 views • 14 slides

MATH23 MULTIVARIABLE CALCULUS

PARTIAL DERIVATIVES. MATH23 MULTIVARIABLE CALCULUS. GENERAL OBJECTIVE. Determine the geometric interpretation of partial derivatives and its derivation. At the end of the lesson the students are expected to:. PARTIAL DERIVATIVES. Definition.

1.26k views • 14 slides

Economics 202: Intermediate Microeconomic Theory

Economics 202: Intermediate Microeconomic Theory. 0. Welcome! 1. Go over class website (syllabus, requirements, etc.) Take attendance and go over attendance policy

247 views • 13 slides

Friday, January 21, 2000 William H. Hsu Department of Computing and Information Sciences, KSU

Lecture 2. Analytical Learning Presentation (1 of 4): Explanation-Based and Inductive Learning in ANNs. Friday, January 21, 2000 William H. Hsu Department of Computing and Information Sciences, KSU http://www.cis.ksu.edu/~bhsu Readings:

226 views • 12 slides

f ( x,y ) = x 2 y + y 3 + 2 y

330 views • 11 slides

423 views • 11 slides

Chap. 8. Vector Differential Calculus. Grad. Div. Curl

547 views • 8 slides

by Kniss, Kindlmann, Hansen University of Utah

Multi-Dimensional Transfer Functions for Interactive Volume Rendering & Interactive Volume Rendering Using Multi-Dimensional Transfer Functions, etc. by Kniss, Kindlmann, Hansen University of Utah. presentation by Nicholas Schwarz schwarz@evl.uic.edu Electronic Visualization Lab

180 views • 8 slides

Sec 15.3 Partial Derivatives

Sec 15.3 Partial Derivatives. Definition: Let f be a function of two variables whose domain includes the point ( a , b ). The partial derivative of f with respect to x at ( a , b ) is defined by

493 views • 5 slides

Chapter 16

Chapter 16. Section 16.3 The Mean-Value Theorem; The Chain Rule. Chain Rule for a 1 Variable Function

115 views • 4 slides