Write down the Linear Program (LP) relaxation of an IP Plot the graphical representation of an IP and find the optimal solution Understand the relationship between optimal solution of an IP and the ...

Abstract: This article presents a prediction-correction proximal method (PCPM) for the general nonsmooth convex optimization problem with linear equality and inequality constraints. The proposed ...

Abstract: In real life, there are many problems with conditional constraints, which can be regarded as constrained optimization problems. The difficulty in solving this type of problem lies in how to ...

PyPSA-DESOpt-Heat is a linear programming district energy system optimization model for designing cost-optimal district energy systems. It focuses on distributed and building-specific heat supply and ...

With the rapid advancement of digital transformation, enterprises face escalating challenges in cloud resource allocation due to dynamic workloads and substantial capital investments. Existing ...

The industry’s approach to advertising yield optimization has shifted from maximizing inventory to managing viewer ... Read ...

By 2035, the standalone tool will vanish, evolving into hyper-connected, self-correcting autonomous cells. Artificial ...

This paper proposes a framework for benchmarking the new product development process of individual companies. The company’s ...

当大多数成功学在教导如何复制赢家路径时，鹿白River的《自我迭代与AI时代》提供的是如何不成为输家的保底算法——这对资源有限、又身处AI技术颠覆浪潮中的普通人而言，往往更为实用。它跳出了传统成功学的线性叙事，将自我迭代与AI时代的不确定性深度绑定，构建了一套适配普通人处境、抵御技术冲击的生存与发展体系。