Content: | • Introduction to Numerical Analysis, Numerical Systems, Representation of Numbers, Conversions, Floating – point numbers, Errors, Absolute and relative error, Propagation of uncertainty, Accuracy. • Linear Systems, Linear System Solving, Cramer’s Rule, Gauss Method, Gauss – Jordan Method, Thomas’ algorithm, LU decomposition, Cholesky decomposition • Iterative Methods for Solving Linear Systems, Convergence Conditions, Jacobi method, Gauss – Seidel method. • Solving nonlinear equations and systems, Roots of nonlinear equations, Long Division, Bisection method, Newton Raphson method, Intersection method, Nonlinear System Solving. • Numerical integration, Rectangle method, Simpson’s 1/3 rule, Simpson’s 3/8 rule, Composite functions. • Interpolation and Extrapolation, Numerical Approach, Polynomial interpolation, Lagrange polynomial, Newton polynomial, Least squares. • Solving first order linear differential equations, Euler Method, Runge – Kutta Method. |
Suggested Books: | - Recommended Book Resources: 1. Sarris I.- Karakasidis Th., Numerical Methods and Applications for Engineers, A. TZIOLA PUBLICATIONS, Edition: 4th/ 2019. 2. Papageorgiou G. Tsitouras Ch., Numerical Analysis with applications in MATHEMATICA and MATLAB, TSOTRAS AN ATHANASIOS, Edition: 1st / 2015. 3. Chapra S. - Canale R., Numerical Methods for Engineers, A. TZIOLA PUBLICATIONS, Edition: 7th / 2016. 4. AKRIVIS GD, DOUGALIS BA, INTRODUCTION TO NUMERICAL ANALYSIS, UNIVERSITY EDITION. CRETE, Edition: 4th / 2015. |