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mgreminger authored Feb 3, 2021
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<img src="images/logo.png" alt="logo" width="300" height="300">

[Browser based tool](https://mgreminger.github.io/response-surface-pareto/) for creating a tradeoff curve (Pareto front) for two competing design requirements by fitting a response surface to design of experiments data (DOE).
[Browser based tool](https://mgreminger.github.io/response-surface-pareto/) for creating a tradeoff curve (Pareto front) for two competing design requirements by fitting a response surface to design of experiments (DOE) data.

This tool runs in your browser and is available [here](https://mgreminger.github.io/response-surface-pareto/). Pareto front caculations are performed using Python in the browser with [Pyodide](https://github.com/iodide-project/pyodide). The [trust-constr](https://github.com/mgreminger/trust-constr) algorithm that has been extracted from the [SciPy](https://www.scipy.org/) library is used to performed the constrained optimization runs required to generated the pareto front. [Svelte](https://svelte.dev/) is used to implement the user interface, [plotly](https://plotly.com/javascript/) is used for plotting, and [sheetjs](https://github.com/SheetJS/sheetjs) is used for spreadsheet file I/O.

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