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Chance constrained programming
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<p>Chance Constrained Programming (CCP) is a <a href="/facts/Mathematical_optimization/oRn8Iv5I">mathematical optimization</a> approach used to handle problems under uncertainty. It was first introduced by <a href="/facts/Abraham_Charnes/3yYqsqA8">Charnes</a> and <a href="/facts/William_W._Cooper/avc9h452">Cooper</a> in 1959 and further developed by Miller and Wagner in 1965. CCP is widely used in various fields, including <a href="/facts/Finance/fLh1GgN8">finance</a>, <a href="/facts/Engineering/RFVg8H3I">engineering</a>, and <a href="/facts/Operations_research/H5yJkV5n">operations research</a>, to optimize decision-making processes where certain constraints need to be satisfied with a specified probability. </p>