-S.SIVARAJA Dept of MATHEMATICS.  N-NUMERICAL  M-METHODS EASY TO LEARN & EASY TO SCORE.

Slides:



Advertisements
Similar presentations
Lecture on Numerical Analysis Dr.-Ing. Michael Dumbser
Advertisements

Prof. Muhammad Saeed ( Differentiation and Integration )
Prof. Muhammad Saeed ( Ordinary Differential Equations )
Chapter 6 Differential Equations
UNIT – VI NUMERICAL SOLUTION OF ORDINARY DIFFERENTIAL EQUATIONS
Numerical Integration
MATLAB EXAMPLES Initial-value problems
SE301: Numerical Methods Topic 8 Ordinary Differential Equations (ODEs) Lecture KFUPM Read , 26-2, 27-1 CISE301_Topic8L8&9 KFUPM.
Numeriska beräkningar i Naturvetenskap och Teknik 1. Numerical differentiation and quadrature Discrete differentiation and integration Trapezoidal and.
MATHEMATICAL METHODS.
Lecture 18 - Numerical Differentiation
ECIV 301 Programming & Graphics Numerical Methods for Engineers Lecture 30 Numerical Integration & Differentiation.
MECH300H Introduction to Finite Element Methods Lecture 2 Review.
ECIV 301 Programming & Graphics Numerical Methods for Engineers Lecture 31 Ordinary Differential Equations.
CVEN Exam 1 Review. Matlab.m files Matlab.m files Programming: FOR, WHILE, IF and FUNCTION Programming: FOR, WHILE, IF and FUNCTION Taylor Series.
8-1 Chapter 8 Differential Equations An equation that defines a relationship between an unknown function and one or more of its derivatives is referred.
ECIV 301 Programming & Graphics Numerical Methods for Engineers REVIEW III.
Multistep methods previous methods use information at xi to predict yi+1 multistep methods use information from xi-1, xi-2, etc. leads to better results.
Numerical Solutions of Ordinary Differential Equations
NUMERICAL SOLUTION OF ORDINARY DIFFERENTIAL EQUATIONS
CISE301_Topic8L31 SE301: Numerical Methods Topic 8 Ordinary Differential Equations (ODEs) Lecture KFUPM (Term 101) Section 04 Read , 26-2,
Numerical Solution of Ordinary Differential Equation
MATH 685/ CSI 700/ OR 682 Lecture Notes Lecture 10. Ordinary differential equations. Initial value problems.
1 Chapter 6 Numerical Methods for Ordinary Differential Equations.
1 Chapter 7 NUMERICAL INTEGRATION. 2 PRELIMINARIES We use numerical integration when the function f(x) may not be integrable in closed form or even in.
Chapter 17 Boundary Value Problems. Standard Form of Two-Point Boundary Value Problem In total, there are n 1 +n 2 =N boundary conditions.
EE3561_Unit 8Al-Dhaifallah14351 EE 3561 : Computational Methods Unit 8 Solution of Ordinary Differential Equations Lesson 3: Midpoint and Heun’s Predictor.
Introduction to Numerical Analysis I MATH/CMPSC 455 Fall 2011 Instructor: Xiaozhe Hu (Shawn)
Application of Differential Applied Optimization Problems.
Review Taylor Series and Error Analysis Roots of Equations
Integration of 3-body encounter. Figure taken from
Copyright © 2006 The McGraw-Hill Companies, Inc. Permission required for reproduction or display. ~ Ordinary Differential Equations ~ Stiffness and Multistep.
MECH345 Introduction to Finite Element Methods Chapter 1 Numerical Methods - Introduction.
The Islamic University of Gaza Faculty of Engineering Civil Engineering Department Numerical Analysis ECIV 3306 Introduction Course Outline.
Finite Difference Methods Definitions. Finite Difference Methods Approximate derivatives ** difference between exact derivative and its approximation.
Scientific Computing Multi-Step and Predictor-Corrector Methods.
MECN 3500 Inter - Bayamon Lecture 9 Numerical Methods for Engineering MECN 3500 Professor: Dr. Omar E. Meza Castillo
BE207 Numerical Analysis using Matlab Lecturer DR Abdullah Awad Faculty of Engineering.
AIM To impart enough Mathematical background in Matrices and Differential Calculus for the exact understanding of the Engineering subjects.
Lecture 40 Numerical Analysis. Chapter 7 Ordinary Differential Equations.
10.1 Definition of differential equation, its order, degree,
Lecture 39 Numerical Analysis. Chapter 7 Ordinary Differential Equations.
CISE301_Topic8L71 CISE301: Numerical Methods Topic 8 Ordinary Differential Equations (ODEs) Lecture KFUPM (Term 101) Section 04 Read , 26-2,
TRANSFORMS AND PARTIAL DIFFERENTIAL EQUATIONS
Differential Equations
Solving Ordinary Differential Equations
Quadrature – Concepts (numerical integration) Don Allen.
Assignment 1: due 1/19/16 Estimate all of the zero of x3-x2-2x+1 graphically. Write a MatLab code for Newton’s method. Use your code to refine the graphical.
Numerical Integration Methods
Numerical Methods by Dr. Laila Fouad.
CHAPTER 3 NUMERICAL METHODS.
Advanced Numerical Methods (S. A. Sahu) Code: AMC 51151
525602:Advanced Numerical Methods for ME
Numerical Analysis Lecture 27.
Class Notes 18: Numerical Methods (1/2)
Partial Differential Equations
Numerical Analysis Lecture 45.
Chapter 26.
MATH-321 In One Slide MATH-321 & MATLAB Command.
WELCOME TO MY CLASS NUMERICAL METHOD Name : Masduki
Numerical Analysis Lecture 38.
Numerical Integration Methods
Numerical solution of first-order ordinary differential equations
SE301: Numerical Methods Topic 8 Ordinary Differential Equations (ODEs) Lecture KFUPM Read , 26-2, 27-1 CISE301_Topic8L3 KFUPM.
CPE 332 Computer Engineering Mathematics II
MATH 175: NUMERICAL ANALYSIS II
Differential equations
CISE301: Numerical Methods Topic 8 Ordinary Differential Equations (ODEs) Lecture KFUPM Read , 26-2, 27-1 CISE301_Topic8L7 KFUPM.
Numerical solution of first-order ordinary differential equations 1. First order Runge-Kutta method (Euler’s method) Let’s start with the Taylor series.
Numerical Integration
Presentation transcript:

-S.SIVARAJA Dept of MATHEMATICS

 N-NUMERICAL  M-METHODS EASY TO LEARN & EASY TO SCORE

Staff name SARANYA.P Subject code MA1257 Semester Five

 unittopichours I SOLUTION OF EQUATIONS AND EIGEN VALUE PROBLEMS 9 II INTERPOLATION AND APPROXIMATION 9 III NUMERICAL DIFFERENTIATION AND INTEGRATION 9 IV INITIAL VALUE PROBLEMS FOR ORDINARY DIFFERENTIAL EQUATIONS 9 V BOUNDARY VALUE PROBLEMS IN ORDINARY AND PARTIAL DIFFERENTIAL EQUATIONS 9

UNIT-I SOLUTIONS OF EQUATIONS & EIGEN VALUE PROBLEMS UNIT-I SOLUTIONS OF EQUATIONS & EIGEN VALUE PROBLEMS

FALSE POSITION METHOD NEWTON’S METHOD FIXED POINT ITERATION METHOD GAUSS ELIMINATION METHOD GAUSS JORDAN METHOD GAUSS JACOBI METHOD GAUSS SIEDEL METHOD INVERSE OF A MATRIX-GAUSS JORDAN METHOD POWER METHOD

UNIT-II INTERPOLATION & APPROXIMATION

Lagrangian polynomials Divided Differences Newton’s Forward and Backward Difference Formulas. Interpolating with a Cubic Spline Newton’s Forward and Backward Difference Formulas.

III UNIT NUMERICAL DIFFERENTIATION AND INTEGRATION TOPIC

Numerical Differentiation Derivatives from Difference Tables Divided Differences and Finite Differences

Numerical Integration Trapezoidal rule Simpson’s 1/3 and 3/8 Rules Romberg’s Method Two and Three Point Gaussian Quadrature Formulas Double Integrals using Trapezoidal and Simpson’s Rules.

UNIT-IVIVP FOR ODE

Single Step Methods Taylor Series Method Euler and Modified Euler Methods Fourth Order Runge Kutta Method for Solving First and Second Order Equations Multistep Methods.

Milne’s Predictor Method Milne’s Corrector Method Adam’s Predictor Method Adam’s Corrector Method

UNIT-VBVP in ODE & PDE

Finite Difference Solution of Second Order Ordinary Differential Equation One Dimensional Heat Equation by Explicit and Implicit Methods One Dimensional Wave Equation and Two Dimensional Laplace and Poisson Equations.

LESSON PLAN LESSON PLAN UNIT NO.AS PER SYLLABUSTEACHING PLAN I II III IV v9+3

TEXT BOOK TEXT BOOK C. F. Gerald and P. O. Wheatley, “Applied Numerical Analysis”, 6th Edition, Pearson Education, E. Balagurusamy, “Numerical Methods”, Tata McGraw - Hill Pub. Co. Ltd., 1999

REFERENCE BOOK REFERENCE BOOK P. Kandasamy, K. Thilagavathy and K. Gunavathy, “Numerical Methods”, S. Chand Co. Ltd., R. L. Burden and T. D. Faires, “Numerical Analysis”,7th Edition, Thomson Asia Pvt. Ltd., 2002

RECORDS TO BE MAINTAINED RECORDS TO BE MAINTAINED

CALCULATOR PROBLEMS