SHAW UNIVERSITY
MAT 417: NUMERICAL ANALYSIS
COURSE OUTLINE
Instructor:Dr. Simon Ugwuoke Office Phone: 546-8543
Office Hours: e-mail: sugwuoke@shawu.edu
MWF 12N - 1PM, 2PM - 3PM Office Location: Graphics Rm 4
T,Th 10:50AM - 11:50AM, 1:20PM - 2:20PM
Text
Ward Cheney & David Kincard, Numerical Mathematics and Computing,
Copyright (C) 2004 Wadsworth, a division of Thompson Learning, Inc.
Reference
Burden, Richard L. & Faires J. Douglas, Numerical Analysis, Brooks/Cole
Publishing Company, Pacific Grove, CA 93950, Sixth Edition, 1997.
General Description This course is designed for students in mathematics, mathematics education, physical sciences, and pre-engineering programs. The prerequisite for this course is MAT 203-calculus III or the equivalent. A knowledge of a programming language such as Basic, QuickBasic, Visual Basic, FORTRAN, or C/C++ will be needed, although not required. Maples and graphing calculators, and any other problem-solving software will be used as appropriate. It is designed to meet the needs of students wishing to gain knowledge in the theory of computational procedures (including the use of computer and graphing calculator) involving the solution of linear systems, algebraic and transcendental equations, approximation of roots of complex equations, approximation of functions by interpolating polynomials, and numerical differentiation and integration.
Course Outline
After completing this course successfully, students should be able to do the following:
· Approximate and compute functions using Taylor Series.
· Use computer and graphics calculator to solve complex problems in
Numerical Analysis. (
NCDPI 8.4)· Use one of the programming languages listed above to solve problems in
Numerical Analysis, such as approximating the root of a function. (
NCDPI 4.7, 8.4)· Write a simple computer program for generating a table of iterations of roots, such
as in the Bisection or Newton's method of estimating roots of a function. (
NCDPI 4.7)· Demonstrate an understanding of the basic sources of error in computations
and how these errors are minimized.
· Demonstrate an understanding of computer representation of numbers and
change of bases between binary, octal, decimal, and hexadecimal.
· Locate roots of equations using the bisection method, secant method,
and Newton’s method.
· Interpolate functions by polynomials.
· Demonstrate an understanding of the numerical differentiation of a function.
· Demonstrate an understanding of the numerical integration of a function.
· Apply trapezoidal and Simpson’s rules in numerical integration of functions.
· Solve a system of n linear equations in n unknowns using Gaussian
elimination, and using computer and graphing calculators.
TOPIC OUTLINE
1.1 Mathematical Preliminaries
Nested Multiplication, pg.2; Absolute & Relative errors, pg.4;
Rounding and Chopping errors, pg.4; Programming Experiment, pg.6
[Ref. (Burden & Faires, 1.1) Rolle's Theorem, pg.4; Mean-value
Theorem, pg.5(NCDPI 3.2, 3.4); Intermediate Value Theorem, pg.10]
1.2 Review of Taylor Series
Taylor Series, pg. 17
Taylor's Theorem (
NCDPI 3.2)Taylor and Maclaurin series
Taylor and Maclaurin's polynomials
Power and Binomial Series
2 Number Representation and Errors
Errors in Numerical Analysis and Computer Arithmetic (
NCDPI 3.1, 3.3)Machine number: mantissa and characteristic
Computer representation of numbers
Roundoff errors, Errors due to underflow and overflow, Other errors
Absolute error and Relative error, Significant digits
Base B Numbers; Conversion of Integer Parts
Conversion of Fractional Parts
Base Conversion: 10 <----> 8 <----> 2 <---->16
Chapter 3 Locating Roots of Equations
3.1 The Bisection Method (also called Binary-search Method) (
NCDPI 3.2)3.2 The Newton's Method 3.3 Secant Method
Advantages and Disadvantages of each method
Comparison of the three methods; Convergence Analyses
in these methods; Comparison of the methods
Computer Algorithms related to each method
Zeros of Polynomials; Synthetic division; Horner's method
Chapter 4: Interpolation and Numerical Differentiation
4.1 Polynomial Interpolation:
Lagrange Form; Divided Differences (
NCDPI 3.3)Newton's interpolatory divided difference formula
Newton's forward-difference formula
Newton's backward-difference formula
Centered-difference formulas
4.2 Errors in Polynomial Interpolation
4.3 Estimating Derivatives and Richardson Extrapolation(NCDPI 3.4)
Chapter 5 Numerical Integration
5.1 Definite Integral
Elements of Numerical Integration (
NCDPI 3.4)5.2 Trapezoidal Rule
Chapter 6 More on Numerical Integration
6.1 Simpson's Rule; 6.2 Gaussian Quadrature Formulas
Errors of Numerical Integration
Multiple Integrals (
NCDPI 3.4, 8.4)Chapter 7 Systems of Linear Equations
Linear Systems of Equations (NCDPI 1.1, 1.2)
Linear Algebra and Matrix Inversion (NCDPI 1.1, 1.2)
The Determinant of a Matrix
Chapter 10 Ordinary Differential Equations
The elementary Theory of Initial-Value Problems (NCDPI 3.4)
Taylor Series Methods; Euler's Method
Chapter 12 Smoothing of Data and Method of Least Squares
12.1 Method of Least Squares: Linear Least-Squares
Evaluation
Assignments/Quizzes/Class Participation 30% of final grade
Hourly Tests 40% of final grade
Final exam 30% of final grade
Attendance Policy
Regular class attendance and punctuality in this course are stressed.
More than two unexcused absences may lead to a grade of NC (an F grade).
Note that this class meets only two times a week (75 min each).
Two absences are equivalent (class time-wise) to a whole week lost!!
Student Classroom Decorum Expectations
To enhance the learning atmosphere of the classroom, students are expected to dress and behave in a fashion conducive to learning in the classroom. More specifically, students will refrain from disruptive classroom behavior, e.g., talking to classmates, disrespectful responses to teacher instructions; swearing; wearing clothes that impede academic learning such as but not limited to, wearing body-revealing clothing and excessively baggy pants; hats/caps, and/or headdress. Students will turn off telephones prior to entering the classroom.
Students who exhibit the behaviors described above, or similar behaviors will be immediately dismissed from class at the third documented offense. The student will be readmitted to class only following a decision by the department chair. The student may appeal the decision of the department chair to the Dean of the College offering the course, and, subsequently, to the Office of the Vice President for Academic Affairs, and then to the President of Shaw University. The decision of the President will be final. Failure to follow the procedures herein outlined will result in termination of the appeal, and revert to the decision of the department chair.
Each behavior construed by the teacher/professor as non-contributive to learning will be recorded, properly documented, and appropriately reported to the student and to the chair of the academic department offering the course. The report will be in written form with a copy provided to both the student and the department chair. The faculty member should retain a copy for his/her own records.
Additional student behavior codes may be found in Student Affairs.