Table 1 presents the grammage of each reel of paper (cellulose mass per unit area), with data required in the model (, A i, T i). Table 2 presents the data for the felts (CF j, ). Table 3 presents the ...

The graph below shows the total number of publications each year in Mathematical Programming with Vanishing Constraints. References [1] On directionally differentiable multiobjective programming ...

This important study presents a compelling theoretical framework for understanding phase separation of membrane-bound proteins, with a focus on the organization of tight junction components. By ...

A linear dynamic network is a system of subsystems that approximates the dynamic model of large, geographically distributed systems such as the power grid and traffic networks. A favorite technique to ...

In this paper, we propose a framework for prioritized constraint-based specification of robot tasks. This framework is integrated with a cognitive robotic system based on semantic models of processes, ...

Welcome to what is currently one of the fastest academically developed solvers for mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP). In addition, SCIP provides a highly ...

Self-powered catalytic micromotors that swim through a fluid by harvesting energy from their environment have received increasing attention because of their potential applications in nanomachinery, ...

5, into the constraint equation, Eq. 3, where the protein contribution is given as an input obtained from the diffusion equation, Eq. 1. Once the Lagrange multipliers are obtained, one can calculate ...

C++ library for solving large sparse linear systems with algebraic multigrid method. ... python simplex linear-programming tableau operations-research integer-programming linear-solvers linear ...

2.1. Hungarian algorithm. Formally, the Hungarian algorithm involves manipulating the weights of the bipartite graph in order to find a stable, minimum-weight perfect matching (see Ref. 33).However, ...