Subject Sylabus

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Teaching Methodology
Examining Methodology
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Course Relevance

The relationships between the disciplines involved in CSE

1.  Mathematics and Computer Science

Calculus

Number representation

Error, accuracy, and stability

Programming

Numerical software

Case study: errors, round-off, and stability

Bibliography

Assignment-I

     2.   Linear systems of algebraic equations: direct methods

Elements of matrix calculus

LR factorization of quadratic matrix

Eigenvectors and eigenvalues of matrix

Direct methods in linear algebra

Introductory notes

Gauss elimination method with choice of pivot element

Matrix inversion using Gauss method

Factorization methods

Program realization

Bibliography

 3.   Linear systems of algebraic equations: iterative methods

Introduction

Simple iteration method

Gauss-Seidel method

Program realization

Bibliography

4.   Linear systems of algebraic equations: Ortogonalisation, sparse systems, gradient methods, relaxation methods

Method using orthogonalization

Relaxation methods

Gradient methods

Packages for systems of linear algebraic equations

Bibliography

Assignment-II-IV

 V.   Eigenvalue

Introduction

Methods for determination of characteristic polynomial

Methods for dominant eigenvalues

Methods for subdominant eigenvalues

Jacobi Method

Givens and Hauseholder’s Method

Eigenvalues of Symmetric Tridiagonal Matrices

LR and QR algorithm

Software eigenpackages

Generalized and nonlinear eigenvalue problems

Bibliography

Assignment-V

6.  Nonlinear equations and systems of equations

6.1. Nonlinear Equations

Introduction

Newton’s Method

Newton’s Method for Multiple Zeros

Secant Method

Bisection Method

Schröder Development

Methods of Higher Order

6.2. Systems of Nonlinear Equations

Introduction

Newton-Kantorowitch (Raphson) Method

Gradient Method

Globally Convergent Methods

Bibliography

Assignment-VI

 VII.   Finite Differences Calculus. Interpolation of Functions

Introduction

Chebyshev Systems

Lagrange’s Interpolation

Newton’s Interpolation with Divided Differences

Finite Differences Calculus

Newton’s Interpolation Formulas

Interpolation Formulas with Central Differences

Spline Functions and Interpolation by Splines

Prony's Interpolation

Packages for interpolation of functions

Bibliography

Assignment-VII

VIII.   Approximations of Functions

Introduction

Mean-Square  Approximation

Mean-Square Approximation with Boundaries

Economiztion of power series

Discrete Mean-Square Approximation

Chebyshev min-max Approximation

Packages for approximation of functions

Bibliography

Assignment-VIII

9.   Numerical Differentiations and Integration

9.1. Numerical differentiation

Introductory notes

Formulas for numerical differentiation

9.2. Numerical integration - Quadrature formulas

Introductory notes

Newton-Cotes formulas

Generalized quadrature formulas

Romberg integration

Program realisation

On numerical evaluation of a class of double integrals

Packages for numerical integration

Bibliography

Assignment-IX

X.   Ordinary Differential Equations – ODE

Introduction

Euler's method

General linear multi-step method

Choice of starting values

Predictor-corrector methods

Program realization of multi-step methods

Runge-Kutta's methods

Program realization of Runge-Kutta's methods

Solution of system of equations and equations of higher order

Contour problems

Packages for ODEs

Bibliography

Assignment-X

 XI.   Partial Differential Equations – PDE

Introduction

Method of grid

Laplace equation

Wave equation

Packages for PDEs

Bibliography

Assignment-XI

XII.   Integral Equations

Introduction

Method of successive approximations

Application of quadrature formulas

Program realization

Bibliography

Assignment-XII

 Appendices:

     A.1. Equations of technical physics

A.2. Special functions (Orthogonal functions)

A.3. Numerical Methods in FEM

A.4. Numerical Methods in Informatics

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Last updated: 08/29/07.