Verify the convexity of the following optimisation
problem


Vérifier la convexité du problème d'optimisation suivante: Minf(x) = X12 + X22-3X1X2 uieta X
X12 11 Y12 where Let X E M2(R) and define Y _ T21 X22 Y22 y21 det (X) det (X) tr (X) 1 1x- tr (X)+1 Y11 y12 Y21 tr (X)+1 = det (X) det (X) _ det (X) det (X) 22 22 tr (X)+1 _ Is it true that X +Y = XY, provided that det (X) - tr (X)10?
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the steps
Insulated x1 x 2 x 3 x4 x5 x 6 x7 x8 x9 x10 x1 x12 x13 x14 x15 x16 x17 x18 x19 x20 x21 x22 x23 x24 x25 T 30 ← |T-50C h- 500 W/m2 C T-20 C 1. 2. Write the Finite Volume equation for node 23. [3 points] Write the 23"d line of the coefficient matrix and the right hand side [2 points] [ k-200...
Exercice 16 (14points) Considérez la fonction à deux variables suivante: f(x, y) = 2020 + 33 - 3ry + 3. ya) (2 points) Calculez les dérivées partielles du premier ordre: f(x,y) et (E,y). (W (4 points) Trouvez tous les points critiques de f(x,y); (8 points) Classifier ces points critiques (minimum local, marimum local ou point de selle)
Please write clear Solve the following problem using Karush-Kuhn-Tucker necessary conditions: Maximize f(X) = 8x1 + 4x2 + x1x2 - x12 - x22 subject to: g1(X): 2x1 + 3x2 ≤ 24, g2(X): -5x1 + 12x2 ≤ 24, g3(X): x2 ≤ 5.
8.2. Let W()-X(at)la for a >0. Verify that W(t is also Brownian motion
8.2. Let W()-X(at)la for a >0. Verify that W(t is also Brownian motion
Consider the following boundary value problem: du du dx dx u=-e* sin(x) Discretize the ODE using backward second-order accurate scheme for both derivatives. The second order finite accuracy difference for the derivatives are given by: 2h (3)-1(1,2)-45 (7.1)+31(x) 8 (*)== (4.5) +41 (1.2) -51 (3.1) +2f (x) h?
U 12 1 . puy you tapi DU MIDU TOU DO 3. Let X have the pdf fx(x) = 33.52 Fr?e=22/B2, 0<I< for any B > 0. (a) Verify fx(x) is a pdf. (b) Find E(X) and Var(X). (c) Does My(t) exist? If so, find it.
Reduce to canonical form the following quadratic forms on R 3 : a) Q(x) = x12 + x 22 + 3x32+ 4x1x2 + 2x1x3 + 2x2x3; b) Q(x) = 2x1x2 − 6x2x3 + 2x1x3. The form Q = a1y12+ a2y22 + · · · + anyn2 , where y1, y2, . . . , yn are new unknowns, are called canonical
2. Consider the following minimization problem minf(x) e - COS T on 0, 1]. Find the minimizer using Golden section method with e 1/2 by hand. (10pt)
2. Consider the following minimization problem minf(x) e - COS T on 0, 1]. Find the minimizer using Golden section method with e 1/2 by hand. (10pt)
Check whether the following can define probability distributions, and explain your answers. a) fx=x12 for x=0,1, 2, 3, 4 b) fx=4-x27 for x=0, 1, 2 a) fx=15 for x=4, 5, 6, 7, 8 b) fx=3x+150 for x=1, 2, 3, 4,5