A point is a local minimum of a function if the value of is more for all points around a fixed distance, usually around .
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Q9: Partial derivatives are used to find extreme
Q10: In single-variable, constrained minimization problems, the optimal
Q11: In single-variable, unconstrained minimization problems, if there
Q12: In single-variable, constrained minimization problems, the optimal
Q13: Suitability of linear approximations for nonlinear problems
Q15: As the number of turning points
Q16: If a continuous function
Q17: A quadratic function
Q18: Lagrangian method for optimization may be used
Q19: Lagrangian method with a single
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