This repository provide source algorithms and code in Matlab to solve academic problems in the student textbook.
I have learned this course in school that got some points below :
- How to estimate and evaluate by error analysis.
- Perform problem to matrices, system of linear equations,
- Use approximation theory, numerical solution of nonlinear systems of equations,
- Learn about interpolation, numerical differentiation and integration,numerical solution of differential equations, finding sum of series.
- Familiar with random numer generation and simulation, introduction to linear programming. Programming and application projects will be emphasized.
GEYSER INSPIRED ALGORITHM: A NEW GEOLOGICAL‐INSPIRED META‐HEURISTIC FOR REAL‐PARAMETER AND CONSTRAINED ENGINEERING OPTIMIZATION
- This project use approximation theory by GEA, GWO, AHA algorithm to estimate the deep of geothermal construction.
- By establish code in cost function, main, run thoundsands replication among nodes, we take the optimal value with acceptable error about 2%.
- This project use MATLAB code.
- I create an excel file that containt solution by question in the textbook
- Present another real problem that guild step by step how to approach and apply this knowledge into reality.
- Build a source code for machine learning apply this knowledge