Optimization Algorithms, Optimization Techniques, Machine Learning, Deep Learning, Convex Optimization.
problems with and without bounds, we have algorithms like Nelder-Mead, Limited-memory BFGS (called as L-BFGS), Powell’s method, Truncated Newton’s Conjugate Gradient algorithms, Sequential Least Squares Programming (SLSQP) etc. 8. Finally, let’s see “Optimization in Action” (A) OLS Method: Coming