Abstract: This work aimed at pushing forward the application on electronic fields of optimization algorithms which hire gradients. The authors developed an open source electronic simulating tool that gives out gradients of designed functions with respect to customized parameters of interest simultaneously when computing the desired state vectors of a circuit net list. These gradients power most gradient based optimization algorithms efficiently and relieve them from fetching the gradients expensively by secant methods. These optimization algorithms perform much better with the help of it, and also beat some non-gradient algorithms namely simulate anneal.