# How to solve for domain

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## How can we solve for domain

In this blog post, we will be discussing How to solve for domain. LBM method only solves unsteady flow in essence, and its numerical dissipation is low. Compared with the traditional finite element or finite volume method based on N-S equation, which has to deal with complex nonlinear equations, LBM method solves linear equations on each lattice, which is very suitable for large-scale parallel and accelerated computing. Therefore, LBM method is very suitable for fan aerodynamic noise prediction. In mathematics, a matrix is a complex number or real number set arranged according to a rectangular array.

In contrast, logistic regression does not care about the proportion of categories in the sample and the probability of features under the category. It directly gives the formula of the prediction model. Let each feature have a weight, and the training sample data updates the weight W to obtain the final expression. Although he calculates conditional probability, he writes the target probability function directly according to the maximum likelihood log estimation, and turns it into a log loss function, which is optimized by using SGD algorithm.

Interested readers can find relevant materials to read Xie Huimin pointed out that the unexpected encounter with I was an important event accidentally caused by the solution of the root formula of the cubic equation [6]. It may be strange that the appearance of complex numbers in history is not related to the solution of quadratic equations such as x2 + 1 = 0. Because when encountering a quadratic equation with a pair of conjugate complex roots, the general practice of mathematicians at that time was to ignore it, thinking that the equation had no solution, or that it was meaningless at all. However, this practice of abandoning it has encountered difficulties in solving the cubic equation. For example, solve x3-63x-162 = 0.

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