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+stands+at+the+intersection+of+traditional+optimization+and+machine+learning%252C+utilizing+the+capabilities+of+machine+learning+to+enhance+conventional+optimization+techniques.+As+real-world+optimization+problems+frequently+share+common+structures%252C+L2O+provides+a+tool+to+exploit+these+structures+for+better+or+faster+solutions.+This+tutorial+dives+deep+into+L2O+techniques%252C+introducing+how+to+accelerate+optimization+algorithms%252C+promptly+estimate+the+solutions%252C+or+even+reshape+the+optimization+problem+itself%252C+making+it+more+adaptive+to+real-world+applications.+By+considering+the+prerequisites+for+successful+applications+of+L2O+and+the+structure+of+the+optimization+problems+at+hand%252C+this+tutorial+provides+a+comprehensive+guide+for+practitioners+and+researchers+alike.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.67bbd5dd5159eb7a658ad99b14174028%3frik%3dhuaYUsQAvA3wlQ%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Mixed+Integer+Optimizer+Overview&FORM=IRPRST&ck=72AD33086192890136405210AEF4D3E0&selectedIndex=21&itb=0)
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