diff -r 099a2cc6c7d2 -r 3893bac8e424 solving-equations.org --- a/solving-equations.org Fri Apr 16 16:16:13 2010 +0530 +++ b/solving-equations.org Sat Apr 17 12:50:42 2010 +0530 @@ -13,13 +13,17 @@ of polynomials and other non-linear equations. In the process, we shall look at defining functions. + We would be using concepts related to arrays which we have covered + in previous session + Let's begin with solving linear equations. {show a slide of the equations} We shall use the solve function, to solve this system of linear - equations. Solve requires the coefficients and the constants to + equations. Solve requires the coefficients and the constants to be in the form of matrices to solve the system of linear equations. - We begin by entering the coefficients and the constants as + Lets start ipython -pylab interpreter. + Then we begin by entering the coefficients and the constants as matrices. In []: A = array([[3,2,-1], @@ -33,8 +37,9 @@ Type x, to look at the solution obtained. - Next, we verify the solution by obtaining a product of A and x, - and comparing it with b. Note that we should use the dot function + Equation is of the form Ax = b, so we verify the solution by + obtaining a matrix product of A and x, and comparing it with b. + As we have covered earlier that we should use the dot function here, and not the * operator. In []: Ax = dot(A, x) @@ -60,22 +65,26 @@ In []: coeffs = [1, -5, 6] In []: roots(coeffs) - As you can see, roots returns the coefficients in an array. + As you can see, roots returns the result in an array. + # It even works for polynomials with imaginary solutions. + # roots([1, 1, 1]) - To find the roots of any arbitrary function, we use the fsolve + To find the roots of non linear equations, we use the fsolve function. We shall use the function sin(x)+cos^2(x) as our - function, in this tutorial. First, of all we import fsolve, since it - is not already available to us. + function, in this tutorial. This function is not part of pylab + package which we import during starting, so we will have to + import it. It is part of scipy package. In []: from scipy.optimize import fsolve - Now, let's look at the arguments of fsolve using fsolve? + Now, let's look at the documentation of fsolve using fsolve? In []: fsolve? - The first argument, func, is a python function that takes atleast - one argument. So, we should now define a python function for the - given mathematical expression sin(x)+cos^2(x). + As mentioned in docs the first argument, func, is a python + function that takes atleast one argument. So, we should now + define a python function for the given mathematical expression + sin(x)+cos^2(x). The second argument, x0, is the initial estimate of the roots of the function. Based on this initial guess, fsolve returns a root. @@ -86,16 +95,21 @@ given mathematical expression (sin(x)+cos^2(x)) for a each input. In []: def f(x): - return sin(x)+cos(x)*cos(x) + ... return sin(x)+cos(x)*cos(x) + ... + ... + hit return thrice for coming out of function definition. def, is a key word in python that tells the interpreter that a function definition is beginning. f, here, is the name of the function and x is the lone argument of the function. The whole - definition of the function is done with in an indented block. Our - function f has just one line in it's definition. + definition of the function is done with in an indented block same + as for loops and conditional statements we have used in our + earlier sessions. Our function f has just one line in it's + definition. You can test your function, by calling it with an argument for - which the output value is know, say x = 0. We can see that + which the output value is known, say x = 0. We can see that sin(x) + cos^2(x) has a value of 1, when x = 0. Let's check our function definition, by calling it with 0 as an @@ -111,8 +125,9 @@ In []: fsolve(f, 0) fsolve has returned a root of sin(x)+cos^2(x) that is close to 0. - That brings us to the end of this tutorial on solving linear - equations, finding roots of polynomials and other non-linear + That brings us to the end of this tutorial. We have covered solution + of linear equations, finding roots of polynomials and other + non-linear equations. We have also learnt how to define functions and call them.