T(n) = aT (^) + f(n) F(n) = 3 F()+n, use el Teorema Maestro
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use the master theorem
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- Define, A = Find x. Hint: use numpy.linalg.inv and the @operator for matrix multiplication. 3 6 2 b = 10 5 2 1 7 5 Y = 3 Ax + b = Y NPython numpy library functions to perform basic matrix operations are as follows.• C=numpy.add(A, B): Add two matrices A and B and store result in C.• C=numpy.subtract(A, B): Subtract matrix B from matrix A and store result in C.• C=numpy.divide(A, B): Divide matrix A by matrix B and store result in C.• C=numpy.multiply(A, B): Multiply matrix A by matrix B and store result in C.• C=numpy.sum(A): Form the sum of elements of matrix A and store result in c ∈ R.• C=numpy.sum(A, axis = 0): Form the column wise summation of matrix A andstore result in vector C.• C=numpy.sum(A, axis = 1): Form the row wise summation of matrix A, storeresult in vector C.Python code to show the implementation of these methods in a sample matrix.js solution should be given / ASAP
- if A=[1 10 30 ; 5 -1 3] choose the correct code to get the matrix B =[10 ;-1]: None of above B=A(1,:) B=A(:,2) O B=A(2,:)105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 40 M ㅏ void sequence::insert(const value_type& entry) if(used capacity) { resize((1.5* capacity) + 1); } if (current_index >= used) { current_index = 0; } for (int i = used; i > current_index; i--) { data[i] = data[i-1];Matlab
- ftesting<-aov(DIABETES~BMI,data=data2017) #problem Error in ctrfn(levels(x), contrasts = contrasts) : orthogonal polynomials cannot be represented accurately enough for 266 degrees of freedom what is the meaning of the error? The BMI and DIABETES column number is 819. Is it because of the column number?Using df <- mtcars Select the rows where all cars have 6 cylinders (cyl column)Example of Longest Increasing Subsequence.