Vibe coding tools enable designers, educators, entrepreneurs, and domain experts to participate directly in software creation ...

There is a need for design strategies that can support rapid and widespread deployment of new energy systems and process technologies. In a previous work, we introduced process family design as an ...

We introduce a globally convergent sequential linear programming method for nonlinear programming. The algorithm is applied to the solution of classic topology optimization problems, as well as to the ...

Abstract: In this paper, a design framework based on integer linear programming is proposed for optimizing sparse array structures. We resort to binary vectors to formulate the design problem for ...

This will allow the designer to complete the design project in less time. While vector graphics play an important role in the graphic design globe, vector images are mostly less preferred by the ...

The graphical method is a useful and simple way to solve linear programming problems, but it also has some limitations and drawbacks. For instance, it can only handle problems with two decision ...

The traditional linear programming model is deterministic. The way that uncertainty is handled is to compute the range of optimality. After the optimal solution is obtained, typically by the simplex ...

The differences between stochastic programming under exogenous uncertainty and endogenous uncertainties are discussed. The concepts and several data-driven methods for generating ... ranging from long ...

Traditional linear program (LP) models are deterministic. The way that constraint limit uncertainty is handled is to compute the range of feasibility. After the optimal solution is obtained, typically ...

But I hadn't enough skills to do all I wanted, so I am rewriting it with new knowledge and new technologies. Solve linear programming problem with two positive variables (usually economic optimization ...