Using the three-variable Karnaugh-map below Solve for its corresponding function expression Replot the function from part (1) on a different three-variable Karnaugh-map (Hint: try a different combination of variables)

State whether the function is bijective from R to R

5. Using the following Truth Table, (a) Find out the maxterm expansion for the function F A В C F 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 And then simplify the maxterm expansion to get a minimum POS. (Use simplification theorems)

Consider the minterm expansion for f=Σm(1, 3, 4, 5, 6, 7, 9, 11) with 4 variables. (a) Draw its Karnaugh map. (b) Write down expression for all the prime implicants. (c) Write down expression for all the essential prime implicants. (d) Write down the minimum sum of product expression for f.

Find the simplest POS expression using K- Maps for the following functions. For each, list all prime implicants found in the K-Map, then list only the essential prime implicants, and then list the simplest solution. i. f (x1, x2, x3) = II M (0, 1, 2, 4, 5) ii. f (x1,x2, x3, x4) = ПМ (0, 1, 2,4, 5) Em (1, 2,5, 6, 7,8, 10, 14)

I need the answer as soon as possible

Write cpp which can solve equation using Eular method

Please explain to me how to solve each one step by step

Create the function truth tables, then find canonical forms, then use K-maps to simplify into most efficient SOP and POS.

Please use four variables K-map and show your work on a paper

PLEASE SEE BOTH IMAGES. PLEASE SHOW ALL WORK THANK YOU.

Develop a Matlab function that finds a root of a function f(x) starting from the given initial estimates (-1) and (0) with a tolerance in function of at least OK using the secant method. Name the function mySecant using as input the anonymous function f, the initial estimates xm1 and x0, the maximum number of iterations to perform N, and the required tolerance in function epsok. As output, the function shall return four scalar variables: the numerical solution x, its tolerance in function tolFunc, its estimated relative error ere, and the number of iterations performed n. If the requested tolerance in function cannot be reached within N iterations, the function shall execute Matlab's error ("...") function with an appropriate error message. Other than this potential error message, do not print out any results to screen or do any plotting within the function. You must minimize the number of function calls required per iteration, by storing function call results in temporary storage...

Please answer part b using Mathematica. Display code and output please