FSF3565 Program Construction in C++ for Scientific Computing
KTH Royal Institute of Technology
A Master degree including at least 45 university credits (hp) in in Mathematics (including differential equations and numerical analysis) and Computer Science (including programming). Moreover, English B or equivalent is required.
-
Object-oriented programming, basic notions in, and syntax of, C++
-
Objects, classes and its definition, constructors and destructors
-
Operators, operator overloading, polymorphism
-
Basics of abstract classes, inheritance, generic programming
-
Selected components of the C++ standard library
-
Structured and unstructured grids, data structures for their implementation
-
Implementation of numerical methods for partial differential equations
-
Efficient implementation of numerical algorithms
-
Finite difference methods on structured grids.
The aim of the course consists of providing knowledge how advanced numerical methods and complex algorithms in Scientific Computing can be implemented in C++.
After completion of the course the students can:
-
Construct simple classes for often used mathematical objects;
-
Create abstract classes and define simple template classes;
-
Implement data structures for manipulating realistic geometry and complex grids for numerically solving partial differential equations;
-
Optimize data structures and algorithms in C++ with respect to efficient computations for large-scale problems;
-
Implement finite difference methods on structured grids.
Reviews
Improve accuracy by rating this course