👉 Infeasibility is a concept in computer science that refers to the inability of an algorithm or system to satisfy its own requirements. It occurs when it is impossible for an algorithm or system to find solutions that are both feasible and efficient, meaning they meet all constraints set by the problem at hand. For example, consider the following algorithm: ``` int maxProfit(int arr[], int n) { int profit = 0; for (int i = 1; i < n;
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What is the definition of Infeasibility? 🙋
👉 Infeasibility is a concept in optimization theory and machine learning where an objective function is not convex, meaning it does not have a global minimum. In other words, if we try to minimize or maximize a function by iteratively applying some algorithm, the function may never achieve its optimal value due to the lack of convexity. This can be seen as a problem with no solution because there are no values that satisfy all constraints simultaneously.
