ABSTRACT: In this paper, variational iteration method and He-Laplace method are used to solve the nonlinear ordinary and partial differential equations. Laplace transformation with the homotopy ...
Abstract: Multimodal optimization problem (MMOP) is one of the most common problems in engineering practices that requires multiple optimal solutions to be located simultaneously. An efficient ...
This paper is a brief introduction to Yang-Mills-Higgs model, Maxwell-Higgs model, Einstein’s vacuum model, Yang-Baxter model, Chern-Simons-Higgs model and a discussion of the associated partial ...
Abstract: Logistic regression is a supervised binary classification algorithm in machine learning. It is an important part of neural network and convolutional neural network. An important part of the ...