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      • By analyzing these curves, we can determine where critical points occur—where the gradient is zero. The arrangement of level curves around these points indicates whether they are local maxima, minima, or saddle points based on their curvature and proximity.
  1. Mar 2, 2022 · Let us use the function $f(x,y)=x^3+5 x^2+x y^2-5 y^2$ and check wether it has critical points using level curves. In the first step, let us draw the level curves (blue) and the derivatives $\frac{\partial f}{\partial x}$ and $\frac{\partial f}{\partial y}$ (green).

  2. Level curves and critical pointsInstructor: David JordanView the complete course: http://ocw.mit.edu/18-02SCF10License: Creative Commons BY-NC-SAMore informa...

    • 8 min
    • 45.4K
    • MIT OpenCourseWare
  3. Part A: Functions of Two Variables, Tangent Approximation and Opt Part B: Chain Rule, Gradient and Directional Derivatives Part C: Lagrange Multipliers and Constrained Differentials

  4. Nov 16, 2022 · In this section we will give a quick review of some important topics about functions of several variables. In particular we will discuss finding the domain of a function of several variables as well as level curves, level surfaces and traces.

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    • how to check if a function has critical points using level curves based2
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  5. 1. Find the critical points by solving the simultaneous equations fy(x,y) = 0. Since a critical point (xo, yo) is a solution to both equations, both partial derivatives are zero there, so that the tangent plane to the graph of f (x, y) is horizontal. 2. To test such a point to see if it is a local maximum or minimum point, we calculate

  6. To check if a critical point is maximum, a minimum, or a saddle point, using only the first derivative, the best method is to look at a graph to determine the kind of critical point. For some applications we want to categorize the critical points symbolically.

  7. Unit #19 : Level Curves, Partial Derivatives Goals: • To learn how to use and interpret contour diagrams as a way of visualizing functions of two variables. • To study linear functions of two variables. • To introduce the partial derivative. Reading: Sections 12.3,12.4,14.1 and 14.2.

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