The order reduction method is an important approach to optimize higher-order binary Markov random fields (HoMRFs). which are widely used in information theory. machine learning and image analysis. It transforms an HoMRF into an equivalent and easier reduced first-order binary Markov random field (RMRF) by elaborately setting the coefficients and auxiliary variables of RMRF. https://thebrickes.shop/product-category/office-chair/