Solve using only false position method.

Solving non-linear equations Temperature rise on a semi-infinite slab could be estimated by the following equation. Q le-erfc(s) TS where sz = xr, -t2 dt, heat flux Q = 200 J/m2s, conductivity k 0.015J/m/s/C, and diffusivity a 2.5 x 10-5 m2/s. We would like to find the position on the slab in which the temperature rises 30 C in two minutes. You are asked to write a single script code in MATLAB, using one of the following iterative root-finding methods, to obtain the answer with accuracy of le 6 complementary error function erfc(s) S e Bisection Method, using initial guess of x1 = 0.001 and x,-1. Secant Method, using initial guess of Xi-1-0.001 and Xi = 0.002. False Position Method, using initial guess of x,-0.001 and x,-1. Newton-Raphson Method, using initial guess of x0.00 You need to find the solution x as well as the number of iterations required (these must be printed when user runs the code). Your code must not ask for any input from user Solving non-linear equations Temperature rise on a semi-infinite slab could be estimated by the following equation. Q le-erfc(s) TS where sz = xr, -t2 dt, heat flux Q = 200 J/m2s, conductivity k 0.015J/m/s/C, and diffusivity a 2.5 x 10-5 m2/s. We would like to find the position on the slab in which the temperature rises 30 C in two minutes. You are asked to write a single script code in MATLAB, using one of the following iterative root-finding methods, to obtain the answer with accuracy of le 6 complementary error function erfc(s) S e Bisection Method, using initial guess of x1 = 0.001 and x,-1. Secant Method, using initial guess of Xi-1-0.001 and Xi = 0.002. False Position Method, using initial guess of x,-0.001 and x,-1. Newton-Raphson Method, using initial guess of x0.00 You need to find the solution x as well as the number of iterations required (these must be printed when user runs the code). Your code must not ask for any input from user