Find the linearization L(x,y) of the function at each point. f(x.y) = x2 + y2 +...
Find the linearization L(x.y) of the function f(x,y)=x2 - 4xy+1 at P.(3,3). Then find an upper bound for the magnitude |El of the error in the approximation f(x,y)=L(x,y) over the rectangle R: 1x - 3|50.3, y-3|50.3. The linearization offis L(x,y)= The upper bound for the error of approximation is E(x,y) (Round to the nearest hundredth as needed.)
(1 point) Find the linearization of the function f(x,y) = 72 - 4x² – 2y at the point (3, 4). L(x,y) Use the linear approximation to estimate the value of f(2.9, 4.1) f(2.9, 4.1)
4 direction 7 = 21 +1 4. Find the linearization of f(c,y) = x2 + y2 at the point P(3, 4) and use it to approximate f(3.05, 3.95). 5. Find the local minimum and maximum values and saddle points of 10
Find the linearization L(x,y) of the function f(x,y)= e 3x cos (y) at the points (0,0) and RIN The linearization at (0,0) is L(x,y)= (Type an exact answer, using a as needed.) The linearization at 0. is L(x,y)= 0 (Type an exact answer, using a as needed.)
7. (a) (1 point) Define the linearization L(x) of a function f at a point a; (b) (1 point) draw a picture which gives a geometrical intepretation of the linearization; (c) (4 points) determine the linearization L(x) of the function f(x) = Ýr at a = 27; (d) (4 points) use (c) to approximate the value 726.5 (express your answer as a rational number (a quotient); do not try to "simplify" it);
7. (a) (1 point) Define the linearization L(x) of a function f at a point a; (b) (1 point) draw a picture which gives a geometrical intepretation of the linearization; (c) (4 points) determine the linearization L(x) of the function f(x) = Ýr at a = 27; (d) (4 points) use (c) to approximate the value 726.5 (express your answer as a rational number (a quotient); do not try to "simplify" it);
Find the linearization L(x,y) of the function f(x,y)=X - 9xy +7 at Po(5.2). Then find an upper bound for the magnitude El of the error in the approximation fix.y) LIX.y) over the rectangle R X-5 30.5, ly-2 30.5. The linearization of fis Lix,y)=
LUU UJULIOL Is Luiz: 5 PL Minimize f(x.y) = x2 + xy + y2 subject to y-- 16 without using the method of Lagrange multipliers; instead, solve the constraint for xory and substitute into f(xy). Use the constraint to rewrite f(x,y) = x2 + xy + y2 as a function of one variable, g(x). g(x)0 The minimum value of f(x,y) = x2 + xy + y2 subject to y= - 16 occurs at the point (Type an ordered pair.) The...
Suppose f(x, y) = x2 + y2. Find the directional derivative of the function f at the point P(1, -1) in the direction of 7 = -31 + 4. That is, find Dif(1,-1). 5 14 O 14 5 O 14 5 O 5 14