About our Instructor:
Ana obtained her PhD in Physics before becoming a postdoctoral fellow at the Rockefeller University where she worked on developing and implementing an underwater touchscreen for dolphins. Now she combines her love for coding and teaching as a Data Scientist in Residence. She spends her free time doing pottery, sometimes climbing, and every now and then scuba diving.
- Perform simple optimization when our optimization problem is not subject to any constraints
- Use linear programming – solve optimization subject to linear constraints
- Perform nonlinear optimization in cases when the constraints or the objective function are nonlinear