Optimization Algorithms, Optimization Techniques, Machine Learning, Deep Learning, Convex Optimization.
0.0001, then the iterations will stop when the value of the f(x) <= 0.0001, and the whole optimization process is said to have Converged to an optimal solution. Typical “zero-finding” numerical methods include Newton’s method, Secant method, Brent’s method, and Bisection method. You can also solve