IEEE

Optimizing Electrolyzers: Simultaneous Degradation Minimization and Hydrogen Flow Maximization with Mixed-Integer Programming

Abstract: We present a comprehensive framework for the simultaneous hydrogen flow maximization and degradation mitigation using mixed integer programming in proton exchange membrane electrolyzers. Our ...
C&EN

A Linear-Regression-Based Method for Determining Surface Tension from Variation in Interfacial Curvature

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
C&EN

Mixed-Integer Linear Programming Formulation with Embedded Machine Learning Surrogates for the Design of Chemical Process Families

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...
marktechpost

DeltaProduct: An AI Method that Balances Expressivity and Efficiency of the Recurrence Computation, Improving State-Tracking in Linear Recurrent Neural Networks

The Transformer architecture revolutionised natural language processing with its self-attention mechanism, enabling parallel computation and effective context retrieval. However, Transformers face ...
Purdue University

CSE Core Courses

To fulfill the 2 Core Courses, take two Core Courses from two different Core Areas. CSE Core Courses are classified into six areas: Introduction to CSE, Computational Mathematics, High Performance ...
GitHub

linear-programming-solver-program

A Comprehensive Linear Programming Solver Program, Incorporating Diverse Algorithms: Graphical Method, Dantzig's Simplex Method, Bland's Simplex Method, Two-Phase Simplex Method, Dual Method, Dual ...
Scientific Research Publishing

Dantzig, G.B. (1951) Maximization of a Linear Function of Variables Subject to Linear Inequalities. In: Koopmans, T.C., Ed., Activity Analysis of Production and Allocation ...

ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...
IEEE

A Programming Approach for Worst-case Studies in Distributed Submodular Maximization

Abstract: We present a method to realize a submodular function as a vector in the feasible region of a set of linear constraints. We utilize this representation to formulate a linear program to find ...