First-order conditions are mathematical conditions that must be satisfied for a point to be a local optimum in optimization problems. They involve setting the gradient of the objective function to zero and are fundamental in identifying optimal solutions, particularly in convex optimization where the objective function is convex and the constraints are manageable.
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