Fix link in doc

metab0t · metab0t · commit 8961d53ecd16 · 2024-11-29T23:32:41.000+08:00
diff --git a/docs/source/benchmark.md b/docs/source/benchmark.md
@@ -60,4 +60,4 @@ This is the result of benchmark, where the performance of PyOptInterface exceeds
 
 # Nonlinear programming
 
-We use the AC Optimal Power Flow problem to benchmark performance of PyOptInterface against different modeling languages. The code is at https://github.com/metab0t/opf_benchmark and the result is published by our paper [Accelerating Optimal Power Flow with Structure-aware Automatic Differentiation and Code Generation](https://ieeexplore.ieee.org/document/10721402).
+We use the AC Optimal Power Flow problem to benchmark performance of PyOptInterface against different modeling languages. The code is released at [GitHub](https://github.com/metab0t/opf_benchmark) and the result is published by our paper [Accelerating Optimal Power Flow with Structure-aware Automatic Differentiation and Code Generation](https://ieeexplore.ieee.org/document/10721402).

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`@@ -60,4 +60,4 @@ This is the result of benchmark, where the performance of PyOptInterface exceeds`
`60`	`60`
`61`	`61`	`# Nonlinear programming`
`62`	`62`
`63`		`-We use the AC Optimal Power Flow problem to benchmark performance of PyOptInterface against different modeling languages. The code is at https://github.com/metab0t/opf_benchmark and the result is published by our paper [Accelerating Optimal Power Flow with Structure-aware Automatic Differentiation and Code Generation](https://ieeexplore.ieee.org/document/10721402).`
	`63`	`+We use the AC Optimal Power Flow problem to benchmark performance of PyOptInterface against different modeling languages. The code is released at [GitHub](https://github.com/metab0t/opf_benchmark) and the result is published by our paper [Accelerating Optimal Power Flow with Structure-aware Automatic Differentiation and Code Generation](https://ieeexplore.ieee.org/document/10721402).`