@@ -380,16 +380,16 @@ <h4>Use case №1: Find global minimium of an objective/cost function</h4>
380380 [ 9.998e-01 9.996e-01]]
381381 funv: [ 1.000e+00 ... 5.210e-08]</ code > </ pre >
382382 < div class ="snippet snippet-plot " data-plot ="1: Convergence ">
383- < img src ="convergence.svg " loading ="lazy " />
383+ < img src ="convergence.svg " alt =" Convergence of different algorithms: SHGO, SCE-UA, SMBO " loading ="lazy " />
384384 </ div >
385385 < div class ="snippet snippet-plot " data-plot ="2: Objective ">
386- < img src ="objective.svg " loading ="lazy " rel ="screenshot og:image "/>
386+ < img src ="objective.svg " loading ="lazy " alt =" Objective landscape plot " rel ="screenshot og:image "/>
387387 </ div >
388388 < div class ="snippet snippet-plot " data-plot ="3: Evaluations ">
389- < img src ="evaluations.svg " loading ="lazy " />
389+ < img src ="evaluations.svg " alt =" Sequence of evaluations plot " loading ="lazy " />
390390 </ div >
391391 < div class ="snippet snippet-plot " data-plot ="4: Regret ">
392- < img src ="regret.svg " loading ="lazy " />
392+ < img src ="regret.svg " alt =" Cumulative regret plot " loading ="lazy " />
393393 </ div >
394394 </ div >
395395
@@ -427,7 +427,7 @@ <h4>Use case №2: Sequential surrogate model-based optimization through "ask-an
427427result: OptimizeResult = optimizer.run()
428428</ code > </ pre >
429429 < div class ="snippet snippet-plot " data-plot ="- SMBO estimators ">
430- < img src ="convergence2.svg " loading ="lazy " />
430+ < img src ="convergence2.svg " alt =" Convergence plot of SMBO estimators " loading ="lazy " />
431431 </ div >
432432 </ div >
433433
@@ -598,7 +598,7 @@ <h3>Benchmark</h3>
598598 </ script >
599599 </ div >
600600</ section >
601- < img src ="contourf.jpg " loading ="lazy " style ="margin:3em 0 0 0; opacity: .8 "/>
601+ < img src ="contourf.jpg " alt =" Contour landscapes of benchmarked functions " loading ="lazy " style ="margin:3em 0 0 0; opacity: .8 "/>
602602
603603< section id ="citing ">
604604 < h3 > Citation</ h3 >
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