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[![Build Status](https://travis-ci.org/JuliaDiffEq/Surrogates.jl.svg?branch=master)](https://travis-ci.org/JuliaDiffEq/Surrogates.jl)
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[![Build status](https://ci.appveyor.com/api/projects/status/fl7hr18apc7lt4of?svg=true)](https://ci.appveyor.com/project/ludoro/surrogates-jl)
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[![Coverage Status](https://coveralls.io/repos/github/JuliaDiffEq/Surrogates.jl/badge.svg)](https://coveralls.io/github/JuliaDiffEq/Surrogates.jl)
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[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](http://surrogates.juliadiffeq.org/stable/)
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[![dev](https://img.shields.io/badge/docs-dev-blue.svg)](http://surrogates.juliadiffeq.org/dev/)
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[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](http://surrogates.sciml.ai/stable/)
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[![dev](https://img.shields.io/badge/docs-dev-blue.svg)](http://surrogates.sciml.ai/dev/)
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A surrogate model is an approximation method that mimics the behavior of a computationally
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expensive simulation. In more mathematical terms: suppose we are attempting to optimize a function

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