Questions on Maxima and Minima Topic: Maxima and Minima – Calculus | Engineering Mathematics Find the maximum and minimum value of the function f(x, y) = x² + y² − 2x − 4y + 6 . Find the maximum and minimum values of f(x, y) = x² + y² subject to the constraint x + y = 1 . Find the stationary points of f(x, y) = x³ + y³ − 3xy and determine their nature. Find the local maxima, minima, and saddle points of the function f(x, y) = x² − y² . Find the maximum value of u = xy when 2x + 3y = 6 . Find the absolute maximum and minimum values of f(x, y) = x² + y² on the rectangle 0 ≤ x ≤ 2 , 0 ≤ y ≤ 3 . Find the point on the plane x + y + z = 6 closest to the origin. Find the maximum value of f(x, y) = x²y subject to the constraint x² + y² = 1 . Find the minimum value of f(x, y) = x² + y² − 4x − 6y + 13 . Find the stationary point of f(x, y) = x⁴ + y⁴ − 4xy + 1 . Note: These questions cover unconstrained optimization...
Partial derivatives serve as a powerful tool for uncovering the peaks of functions, especially those with multiple variables. when dealing with functions of two variables let us say F(x, y), finding their maximum and minimum points becomes a practical pursuit, led by real-world implications. imagine you're navigating a landscape of Shivalik hills and valleys, or each point representing a potential profit and loss in a business endeavor. to pinpoint the highest peaks of profit and the lowest troughs of loss, partial derivatives help us do just that. First, we hunt for what's known as stationary points- spots where the slope or derivative is zero. By analyzing the sign changes in the partial derivatives around these stationary points, we discern whether they signify maxima, minima, or neither.