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Make images 600px and centered in readme
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package/samplers/orthobo/README.md

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@@ -75,13 +75,13 @@ Marginal BO (MC marginalisation without orthogonal correction, orange).
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### Hartmann-6 (6 dimensions)
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<p align="center">
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<img src="images/Hartmann6.png" alt="Hartmann6" style="max-width: 100%; width: 700px;">
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<img src="images/Hartmann6.png" alt="Hartmann6" style="max-width: 100%; width: 600px;">
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</p>
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### Levy-16 (16 dimensions)
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<p align="center">
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<img src="images/Hartmann6.png" alt="Hartmann6" style="max-width: 100%; width: 700px;">
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<img src="images/Levy16.png" alt="Levy16" style="max-width: 100%; width: 600px;">
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</p>
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OrthoBO's advantage is most pronounced on higher-dimensional problems where acquisition estimation noise has a larger effect on candidate rankings. On lower-dimensional problems (Hartmann-6) where the GP fits well with few observations, the methods converge to similar performance.

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