In computational physics, students study and implement numerical analysis to find answers for physics problems for which a quantitative theory exists, but solving the mathematical model in order to produce an actionable prediction is not possible. ΄σΟσ΄«Γ½ can connect you with quality computational physics tutoring to help you do your best while studying this complex subject.
For example, your private computational physics tutor can work with you until you are familiar with the different types of problems and the methods best suited to solving them, including:
- Finding roots with the Newton-Raphson method
- Systems of linear equations with LU decomposition
- Ordinary differential equations with Runge-Kutta methods
- Integration using the Monte Carlo integration and Romberg method
- Partial differential equations using the finite difference and relaxation methods
- Matrix eigenvalue problem using the Jacobi eigenvalue algorithm as well as power iteration
Computational physics tutoring offers many advantages to students. First, your tutor can get to know you on an individual basis, and use qualities such as your most effective learning styles, your interests, your syllabus, and your academic goals to develop customized study sessions that focus on what you are struggling with or need to learn in more depth. Having the full attention of your own private computational physics tutor also means you can work at your pace, slowing things up if you need more explanation or practice, and speeding things up when you have a good understanding of certain concepts or problem-solving methods.