The optimisation of gas networks has emerged as a critical field in energy systems engineering, incorporating advanced nonlinear programming techniques to address the increasing complexity of gas ...

This is a preview. Log in through your library . Abstract The trust region approach has been extended to solving nonlinear constrained optimization. Most of these extensions consider only equality ...

This note presents proofs of convergence of nonlinear programming algorithms under a weaker requirement than Zangwill's convergence theorems A and C. The objective is the removal of the closedness and ...

Sometimes, it’s easy for a computer to predict the future. Simple phenomena, such as how sap flows down a tree trunk, are straightforward and can be captured in a few lines of code using what ...

This repository provides Python implementations of root-finding algorithms for solving nonlinear equations. The code is organized into two main files: main.py: Contains the primary logic for executing ...

Abstract: Motivated by many social phenomena such as bird flocking and fish schooling, in this paper three types of constrained hybrid multiagent swarm optimization (HMSO) algorithms are presented to ...

Abstract: This paper investigates the optimization of production process decisions based on nonlinear programming and particle swarm optimization genetic algorithm. Initially, a quality level sampling ...

This course is available on the MSc in Applicable Mathematics, MSc in Management Science (Operational Research), MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...