Explores limits of recursive sequences, convergence, boundedness, and algebraic operations related to limits at infinity.
Covers the fixed point method for convergence and linear error reduction.
Covers energy system, numerical methods, Newton-Raphson, convergence, and efficient equation solving.
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Explores degree of freedom analysis, redundancy, and data reconciliation in process modeling and optimization.
Introduces Newton's method for solving non-linear equations iteratively, highlighting its fast convergence but also its potential failure to converge in some cases.
