Solve the following Problem in Octave orf(x)=x²-cTake the function040and the following two iteration functions6J₁ (x) = x - x²-c22B) Jaß^)=x6-1²-0 - (*-2²31Matlab.LOE2-2222Study the convergence of these two iteration methods.Please answer the above question Step-wise, Showingdetailed explanations, helading diagrams whereThanks in advanced !!!necessoryG

Here the task specified in the question is to write a MATLAB code to stimulate the equations given…

Solue the following Problem in Octave or * Take the function f(x)=x²-c and the following two iteration functions 6 9₁ (x) = x - x²-c 22 C 1 7 gaft)=8-12-0 Study the convergence of these two iteration methods. (x- (x-2³²-0) Matlab. 22 640 -

Solue the following Problem in Octave or * Take the function f(x)=x²-c and the following two iteration functions 6 9₁ (x) = x - x²-c 22 C 1 7 gaft)=8-12-0 Study the convergence of these two iteration methods. (x- (x-2³²-0) Matlab. 22 640 -

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Give a clear description of an efficient algorithm for finding the k smallest element of a very large n_element vector. Compare its running time with that of other plausible ways of achieving the same results, including that of applying. K time your solution for part(a).[note that in part(a) the result of the function consists of one element, where as here it consists of k elements. As above, you may assume for simplicity that all the element of the vector are different.
The support functions For the next few questions, we'll be working on finding the roots for the following quadratic equation: f(x)=x²-1.5 which has the derivative: f'(x)=2r Before we get started on the root-finding, however, you are to write two functions that will come in handy later: f(x), which takes a number or numpy array x and returns f(x) as defined above. f_prine(x), which takes a number or numpy array x and returns f'(x) as defined above. Paste these two functions into the answer box below. Note: Each function can easily be written using just a return statement. If you're doing more than this, you're probably overthinking it. For example: Test x = 2 print (f(x)) print(f_prine(x)) Result 2.5 4 Answer: (penalty regime: 0, 10, 20, ... %)
Write a program that can inverse a matrix by using an approach to find its minor, cofactor and adjugate matrix. Test your program with the given matrix ? Please provide in Python program
Adam begins to master programming. The main undertaking is drawing a fox! Notwithstanding, that ends up being excessively hard for a novice, so she chooses to draw a snake all things being equal. A snake is an example on a n by m table. Mean c-th cell of r-th column as (r, c). The tail of the snake is situated at (1, 1), then, at that point, it's body reaches out to (1, m), then, at that point, goes down 2 lines to (3, m), then, at that point, goes left to (3, 1, etc. Your undertaking is to draw this snake for Adam: the unfilled cells ought to be addressed as speck characters ('.') and the snake cells ought to be loaded up with number signs ('#'). Consider test tests to comprehend the snake design for the programming concepts.
IN PYTHON A tridiagonal matrix is one where the only nonzero elements are the ones on the main diagonal and the ones immediately above and below it.Write a function that solves a linear system whose coefficient matrix is tridiag- onal. In this case, Gauss elimination can be made much more efficient because most elements are already zero and don't need to be modified or added. As an example, consider a linear system Ax = b with 100,000 unknowns and the same number of equations. The coefficient matrix A is tridiagonal, with all elements on the main diagonal equal to 3 and all elements on the diagonals above and below it equal to 1. The vector of constant terms b contains all ones, except that the first and last elements are zero. You can use td to find that x1= −0.10557. The following code format should help: def td(l, m, u, b): '''Solve a linear system Ax = b where A is tridiagonal Inputs: l, lower diagonal of A, n-1 vector m, main diagonal of A, n vector u,…
Please I need Bsupport quick.
Write a program that can inverse a matrix by using an approach to find its minor, cofactor and adjugate matrix. Test your program with the given matrix ?
In Matlab, Write a function in which, given a matrix of positive values and dimensions 16×16, the 4 largest values are preserved and all the others are nullified, place 4 examples using known and arbitrary matrices (random, ones, zeros, identity, etc.).
Correct answer will be upvoted else Multiple Downvoted. Computer science. You are given an arrangement an of length n comprising of integers from 1 to n. The grouping may contain duplicates (for example a few components can be equal). Track down the number of tuples of m=3 components with the end goal that the maximum number in the tuple varies from the base by close to k=2. Formally, you want to view as the number of triples of lists i<j<z with the end goal that max(ai,aj,az)−min(ai,aj,az)≤2. For example, on the off chance that n=4 and a=[1,2,4,3], there are two such triples (i=1,j=2,z=4 and i=2,j=3,z=4). In the event that n=4 and a=[1,1,1,1], all four potential triples are suitable. Input The principal line contains a solitary integer t (1≤t≤2⋅105) — the number of experiments. Then, at that point, t experiments follow. The principal line of each experiment contains an integer n (1≤n≤2⋅105) — the length of the succession a. The following line contains n…
Give a clear description of an efficient algorithm for finding the k smallest elements of a very large n-element vector. Compare its running time with that of other plausible ways of achieving the same result, including that of applying k times your solution for part (a). [Note that in part (a) the result of the function consists of one element, whereas here it consists of k elements. As above, you may assume for simplicity that all the elements of the vector are different.]
Write a function SoftMax(Q) as seen in the photo
In a company, there are several branches. Let us consider a branch of that company having N employees, if the manager is allotted to that branch(s) then he is known to everyone else in that branch. Note that the property of "known to everyone" is unique to a manager. Your task is to find the manager in that branch. Input from the user in main (), the square matrix M where if an element of row i and column j is set to 1 it means that ith person knows jth person. You need to write a function managerId () which returns the id of the manager if present or else returns -1. The function managerId () takes two arguments - the square matrix of N *N and its size N. Call managerId () from the main () output the information about the manager. Assume all diagonal elements to be 1 (as everyone knows him/herself) and there is at most one manager in the company.