Solve using False Position method

CW1: Solving non-linear equations Temperature rise on a semi-infinite slab could be estimated by the following equation 2 Qle_- erfc(s) T (x, t)--x TTS where s--, complementary error function erfc(s)- dt, heat flux Q 200J/m2s, conductivity k 0.015J/m/s/o 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 1e - 6. 4at Bisection Method, using initial guess of x 0.001 and xr -1. Secant Method, using initial guess of x1-1-0.001 and x,-0.002. False Position Method, using initial guess ofx, 0.001 and Xr-1. Newton-Raphson Method, using initial guess of ,-0.001. 2. 4 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. CW1: Solving non-linear equations Temperature rise on a semi-infinite slab could be estimated by the following equation 2 Qle_- erfc(s) T (x, t)--x TTS where s--, complementary error function erfc(s)- dt, heat flux Q 200J/m2s, conductivity k 0.015J/m/s/o 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 1e - 6. 4at Bisection Method, using initial guess of x 0.001 and xr -1. Secant Method, using initial guess of x1-1-0.001 and x,-0.002. False Position Method, using initial guess ofx, 0.001 and Xr-1. Newton-Raphson Method, using initial guess of ,-0.001. 2. 4 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