Cansu Sarı's repositories
Scientific-Computing
Includes multiple Scientific Computing & Algorithm Building Applications like Root Finding, Cost Minimization, Monte Carlo Approximation, Random Walk, Signal Strength Analysis, Class Architecture applications etc.
Stochastic-Modeling
Queueing Theory and Markov Chain cases, where Stochastic Modeling is applied
Data-Mining
KNN Algorithms, Naive Bayes, Classification Tree, PCA Implementations
Linear-Programming
Monetary Worth Maximization, Cost Minimization and Network Flow cases; where LP approach is applied
Mixed-Integer-Programming
Assembly Line Balancing, Selection and Assignment, Location Decision, Vehicle Allocation Problems; where MIP approach is used
Visual-Basic-Implementations
Scheduling and Multi-Objective Optimization Problems with VBA