The use of matrices in the linear transformations. From the concept of linear transformation, the need to study the matrix multiplication arises. This is because, the linear transformations over finite dimensional vector spaces can be indicated by the matrices. Also, any matrix will represent the linear transformation of the finite dimensional space. For an example, consider the linear transformation f : ℝ n → ℝ m . Let e j be the vectors of standard basis. Compute the value of f ( e j ) as f ( e j ) = a 1 j v 1 + a 2 j v 2 + ⋯ + a m j v m . Here, v i ' s are belongs to ℝ m . This coefficients a 1 j , a 2 j , … , a m j forms a matrix say A as, A = [ a i j ] .

Consider the problem of minimising the Euclidean distance from the point (-4,5) in the plane to the set of points (x, y) that have integer coordinates and satisfy the inequality: x2 y² + ≤1. 4 9 (a) Use an exhaustive search to solve this problem. (b) Use a local search method to solve this problem. First, define the search space and the neighbourhood. Then, attempt to find the minimum starting from the initial point (x, y) = (2,0). The neighbourhood of a point should contain at least two distinct points but must not encompass the entire feasible search space. Will your local search method find the global optimum?

Consider the relation ✓ on R² defined by u ≤ v u₁ + v₂+ 3u1 v² < u₂ + v³ + 3u²v₁ (u³ + v2 + 3u1v = u₂+ v³ + 3u²v₁ and u₂ < v2) u = v for any u, vЄR² with u = = (u1, u2), v = = (V1, V2). or 우우 or 1. Prove that the relation ✓ is translation invariant. Hint: Use the formula of (a + b)³ for a, b = R. 2. Is the relation ✓ scale invariant? Justify your answer. 3. Is the relation ✓ reflexive? Justify your answer. 4. Is the relation ✓ transitive? Justify your answer. 5. Is the relation ✓ antisymmetric? Justify your answer. 6. Is the relation ✓ total? Justify your answer. 7. Is the relation ✓ continuous at zero? Justify your answer.

Let X = [−1, 1] C R and consider the functions ₤1, f2 : X → R to be minimised, where f₁(x) = x + x² and f2(x) = x-x² for all x Є X. Solve the tradeoff model minøx µƒ₁(x)+ƒ2(x), for all values of µ ≥ 0. Show your working.

Consider the following linear programming problem: min x1 x2 3x3 − x4 s.t. — 2x1 − x2 − x4 ≤ −6 x1 x2 x3 + 2x4 <4 x1, x2, x3, x4 ≥ 0. (i) Write an equivalent formulation of this problem, to which the primal-dual algorithm can be applied. (ii) Write out the dual problem to the problem, which you formulated in (i). (iii) Solve the problem, which you formulated in (i), by the primal-dual algorithm using the dual feasible solution π = (0, -3). Write a full record of each iteration.

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Consider the following Boolean Satisfiability problem: X2 F (X1, X2, X3, X4, x5) = (x1 √ √ ¤;) ^ (ס \/ ˜2\/×3)^(×k \/×4 \/ ×5) ^^\ (×1\/15), Є where i Є {2, 3, 4, 5}, j = {1, 4, 5}, k = {1, 2, 3} and l € {1, 2, 3, 4}. xk Can this problem be solved by using the Divide and Conquer method?

not use ai please

L(x²²)dx x4 find the value of 4 the integral using the simpson method an error not exceeding 10 -2 1 with 3

No chatgpt pls will upvote Already got wrong chatgpt answer