WEBVTT 1 00:00:05.227 --> 00:00:09.560 Welcome to the e-Learning of the course numerical analysis. 2 00:00:09.814 --> 00:00:13.560 I am from Prof. Mudumangal Pal from Vidyasagar University. 3 00:00:13.931 --> 00:00:16.920 I will teaching the numerical analysis. 4 00:00:17.135 --> 00:00:20.400 This is also known as numerical methods. 5 00:00:20.400 --> 00:00:25.960 A problem particularly a mathematical problem can be solved in to 6 00:00:25.960 --> 00:00:31.560 three different methods and gives three different types of solutions. 7 00:00:31.560 --> 00:00:34.960 The first method is known as analytical method 8 00:00:34.960 --> 00:00:37.920 and it gives analytical or compact solution. 9 00:00:37.920 --> 00:00:43.000 The second method is known as series solution and it gives 10 00:00:43.000 --> 00:00:47.040 solution is in infinite series form. 11 00:00:47.040 --> 00:00:51.120 The third method is known as numerical method. 12 00:00:51.640 --> 00:00:55.640 The analytical method gives analytical solution or compact solution, 13 00:00:55.640 --> 00:00:58.880 that means the solution in our conventional form. 14 00:00:58.880 --> 00:01:04.240 The main advantage of this method is that this method gives exact solution 15 00:01:04.240 --> 00:01:06.440 that mean there is no error 16 00:01:06.440 --> 00:01:09.400 but the main drawback of this method is that, 17 00:01:09.400 --> 00:01:13.320 the method is complicated for some particular type of problems 18 00:01:13.320 --> 00:01:16.640 and needs lot of complicated mathematical formula. 19 00:01:17.019 --> 00:01:22.360 If the analytical method is not suitable or complicated to solve a particular problem, 20 00:01:22.360 --> 00:01:25.080 then we will go to series solution method. 21 00:01:25.080 --> 00:01:28.000 But the main drawback of this method is that 22 00:01:28.000 --> 00:01:31.440 the solution obtained by this method 23 00:01:31.440 --> 00:01:36.840 is valid only for the integral of convergence of The Infinite series. 24 00:01:37.461 --> 00:01:41.320 If the method is not suitable for a particular type of problems, 25 00:01:41.320 --> 00:01:46.000 then we will go to the last method that means the numerical method. 26 00:01:46.223 --> 00:01:51.480 The numerical method is very simple to use to solve a particular problem 27 00:01:51.480 --> 00:01:54.600 for example to find the integration of a function. 28 00:01:54.600 --> 00:01:58.080 There is a very simple formula, algebric formula 29 00:01:58.080 --> 00:02:01.200 to find the integration of that particular function 30 00:02:01.200 --> 00:02:03.640 and this formula gives the solution 31 00:02:03.640 --> 00:02:07.640 of almost all kind of function in a simple way. 32 00:02:07.925 --> 00:02:12.840 But the main drawback of numerical method is the method gives 33 00:02:12.840 --> 00:02:14.720 erroneous solution. 34 00:02:14.966 --> 00:02:19.000 Thus to solve a problem first we apply the analytical method. 35 00:02:19.000 --> 00:02:23.640 If the method is not suitable or complicated for a particular problem 36 00:02:23.640 --> 00:02:26.600 then we shall go to the series solution method 37 00:02:26.600 --> 00:02:31.080 and if this method is also complicated for a particular problem, 38 00:02:31.080 --> 00:02:35.720 then we will go to the last method that means to the numerical method. 39 00:02:36.411 --> 00:02:40.160 The numerical method gives erroneous solution even then 40 00:02:40.160 --> 00:02:45.480 this method is widely used by mathematicians, computer scientist, 41 00:02:45.480 --> 00:02:49.600 statisticians, engineers and many other people. 42 00:02:49.893 --> 00:02:52.054 The numerical method is mainly used 43 00:02:52.054 --> 00:02:55.160 to solve a particular problem with the help of computer. 44 00:02:55.453 --> 00:02:59.680 Thus the numerical method is a multidisciplinary method. 45 00:02:59.926 --> 00:03:04.560 Now I coming to the distribution of the course the entire course is 46 00:03:04.560 --> 00:03:08.760 divided into 9 chapters and 36 modules. 47 00:03:08.760 --> 00:03:13.160 In 1st chapter you will learn different sources of errors, 48 00:03:13.160 --> 00:03:16.402 causes of errors and type of errors. 49 00:03:16.515 --> 00:03:18.520 In Chapter 2 you will learn 50 00:03:18.520 --> 00:03:23.600 different beautiful and interesting method of interpolation. 51 00:03:23.815 --> 00:03:28.480 Chapter 3 is devoted for approximation of functions. 52 00:03:28.890 --> 00:03:33.040 In chapter 4 you will study different method to solve 53 00:03:33.040 --> 00:03:35.040 a nonlinear equations. 54 00:03:35.040 --> 00:03:39.840 Chapter 5 is devoted to solve 55 00:03:39.840 --> 00:03:44.440 system of linear equation by various interesting methods. 56 00:03:44.514 --> 00:03:49.120 You will learn different methods to find eigenvalues and eigenvectors 57 00:03:49.120 --> 00:03:50.680 in Chapter 6. 58 00:03:50.973 --> 00:03:54.840 In Chapter 7 you will learn the numerical derivative methods 59 00:03:54.840 --> 00:03:57.080 and numerical integration. 60 00:03:57.584 --> 00:04:02.240 In chapter 8 is devoted to solve ordinary Differential Equation 61 00:04:02.240 --> 00:04:03.960 by different methods. 62 00:04:04.362 --> 00:04:08.160 In chapter 9 you will learn finite difference method 63 00:04:08.160 --> 00:04:11.640 to solve partial differential equations. 64 00:04:11.722 --> 00:04:17.080 Lot of C programs are given to sort certain problems. 65 00:04:17.467 --> 00:04:19.640 This is a four credit course. 66 00:04:19.839 --> 00:04:23.360 To study this course you have to learn 67 00:04:23.360 --> 00:04:27.040 or you have to know the basic ideas of Calculus 68 00:04:27.040 --> 00:04:30.720 and algebra of undergraduate standard. 69 00:04:30.896 --> 00:04:33.760 Also to understand the C programs 70 00:04:33.760 --> 00:04:37.360 the basic knowledge of C programming is required. 71 00:04:37.360 --> 00:04:40.680 I believe that after finishing this course, 72 00:04:40.680 --> 00:04:44.760 you will be able to solve lot of mathematical problems, 73 00:04:44.760 --> 00:04:47.280 with the help of numerical methods 74 00:04:47.280 --> 00:04:49.760 as well as with the help of computers. 75 00:04:50.006 --> 00:04:55.560 At the end of each module there is a self-assessment containing MCQ, 76 00:04:55.955 --> 00:05:00.240 true and false type question, fill in the blanks 77 00:05:00.240 --> 00:05:02.200 & long answer type question. 78 00:05:02.200 --> 00:05:06.840 Hope you will learn and enjoy the course numerical analysis 79 00:05:06.840 --> 00:05:09.480 by these series of lectures.