Nonlinear Optimization in R using nlopt
Rahul Bhadani

TL;DR
This paper demonstrates how to perform nonlinear constrained optimization in R using the open-source nloptr package, including various examples to illustrate its application.
Contribution
It introduces the use of the nloptr package for nonlinear constrained optimization in R, with practical examples.
Findings
Successful application of nloptr for nonlinear constrained problems
Demonstrated flexibility with bounds and constraints
Provided practical examples for users
Abstract
In this article, we present a problem of nonlinear constraint optimization with equality and inequality constraints. Objective functions are defined to be nonlinear and optimizers may have a lower and upper bound. We solve the optimization problem using the open-source R package nloptr. Several examples have been presented.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBayesian Modeling and Causal Inference · Advanced Optimization Algorithms Research · Constraint Satisfaction and Optimization
