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Description:
In modern science and technology there are many mathematical problems that can't be solved explicitly using classical methods, or the explicit solution is not computationally feasible. Numerical analysis studies algorithms for approximate solutions of such problems, and estimates the error of the approximate solutions. Numerical methods are the central part of numerical analysis. The methods have to be suitable for implementation on computers and practical problems of algorithm implementation are studied in the field of programming. One of the main goals of programming is preparation and coding of programs for implementation of a particular algorithm. Implementation of algorithms is done in the software package Maxima which contains powerful tools for solving many mathematical problems.
Learning outcomes:
Literature:
Schaum's Outline of Introduction to Computer Science, Mata-Toledo Ramon, McGraw-Hill Book Company,
Numerička matematika, Ivan Ivanšić, Element,
Schaum's Outline of Numerical Analysis, Francis Scheid, McGraw-Hill Book Company,
Schaum's Outline of Differential Equations, Bronson Richard, McGraw-Hill Book Compan,
Optional literature:
, Schaum's Outline of Essential Computer Mathematics, Lipschutz Seymour, McGraw-Hill Book Company, , , .
, Scientific Computing: An Introductory Survey, Second Edition, Michael T. Heath, McGraw-Hill Book Company, , , .