Difference between revisions of "Scilab/C4/Interpolation/Gujarati"
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Jyotisolanki (Talk | contribs) (Created page with "{| Border=1 |'''Time''' |'''Narration''' |- | 00:01 |Dear Friends, |- | 00:02 | Welcome to the Spoken Tutorial on '''Numerical Interpolation'''. |- | 00:06 | At the end o...") |
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| 00:01 | | 00:01 | ||
| − | | | + | |નમસ્તે મિત્રો, |
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| 00:02 | | 00:02 | ||
| − | | | + | | '''Numerical Interpolation''' પરના આ સ્પોકન ટ્યુટોરિયલમાં તમારું સ્વાગત છે. . |
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| 00:06 | | 00:06 | ||
| − | | | + | | આ ટ્યુટોરીયલના અંતમાં તમે શીખીશું કેવી રીતે: |
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|00:10 | |00:10 | ||
| − | | | + | | વિવિધ '''Numerical Interpolation algorithms''' ના માટે સાઈલેબ કોડ કેવી રીતે બનાવાય છે. |
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|00:16 | |00:16 | ||
| − | | | + | | આપેલ પોઈન્ટસ થી '''function''' ની નવી વેલ્યુની ગણતરી કરવી. |
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| 00:21 | | 00:21 | ||
| − | | | + | |આ ટ્યુટોરિયલ રિકોર્ડ કરવા માટે હું ઉપયોગ કરી રહી છું, |
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|00:24 | |00:24 | ||
| − | |''' | + | | '''Scilab 5.3.3''' વર્જનના સાથે. |
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| 00:27 | | 00:27 | ||
| − | | | + | | '''Ubuntu 12.04''' ઓપરેટીંગ સીસ્ટમ |
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| 00:31 | | 00:31 | ||
| − | | | + | | આ ટ્યુટોરિયલ ના અભ્યાસ પહેલા શીખનારને |
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|00:34 | |00:34 | ||
| − | | | + | |'''Scilab''' અને |
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|00:36 | |00:36 | ||
| − | | | + | | '''Numerical Interpolation''' નું સામન્ય જ્ઞાન હોવું જોઈએ. . |
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Revision as of 12:55, 30 December 2015
| Time | Narration |
| 00:01 | નમસ્તે મિત્રો, |
| 00:02 | Numerical Interpolation પરના આ સ્પોકન ટ્યુટોરિયલમાં તમારું સ્વાગત છે. . |
| 00:06 | આ ટ્યુટોરીયલના અંતમાં તમે શીખીશું કેવી રીતે: |
| 00:10 | વિવિધ Numerical Interpolation algorithms ના માટે સાઈલેબ કોડ કેવી રીતે બનાવાય છે. |
| 00:16 | આપેલ પોઈન્ટસ થી function ની નવી વેલ્યુની ગણતરી કરવી. |
| 00:21 | આ ટ્યુટોરિયલ રિકોર્ડ કરવા માટે હું ઉપયોગ કરી રહી છું, |
| 00:24 | Scilab 5.3.3 વર્જનના સાથે.
|
| 00:27 | Ubuntu 12.04 ઓપરેટીંગ સીસ્ટમ |
| 00:31 | આ ટ્યુટોરિયલ ના અભ્યાસ પહેલા શીખનારને |
| 00:34 | Scilab અને |
| 00:36 | Numerical Interpolation નું સામન્ય જ્ઞાન હોવું જોઈએ. . |
| 00:40 | To learn Scilab, please refer to the relevant tutorials available on the Spoken Tutorial website. |
| 00:47 | Numerical interpolation is a method of |
| 00:51 | constructing new data points |
| 00:53 | within the range of a discrete set of known data points. |
| 00:59 | We can solve interpolation problems using numerical methods. |
| 01:05 | In Lagrange interpolation, |
| 01:07 | We pass a polynomial of degree N – 1 through N points. |
| 01:12 | Then, we find the unique N order polynomial y of x which interpolates the data samples. |
| 01:22 | We are given the natural logarithm values for nine, nine point five and eleven. |
| 01:29 | We have to find the value of natural logarithm of nine point two. |
| 01:35 | Let us solve this problem using Lagrange interpolation method. |
| 01:41 | Let us look at the code for Lagrange interpolation. |
| 01:46 | We define the function Lagrange with arguments x zero, x, f and n. |
| 01:53 | X zero is the unknown interpolation point. |
| 01:57 | x is the vector containing the data points. |
| 02:01 | f is the vector containing the values of the function at corresponding data points. |
| 02:08 | And n is the order of the interpolating polynomial. |
| 02:14 | We use n to initialize m and vector N. |
| 02:19 | The order of the interpolating polynomial determines the number of nodes created. |
| 02:25 | Then, we apply Lagrange interpolation formula |
| 02:29 | to find the value of the numerator and denominator. |
| 02:35 | Then we divide the numerator and denominator to get the value of L. |
| 02:41 | We use L to find the value of the function y at the given data point. |
| 02:48 | Finally we display the value of L and f of x f(x). |
| 02:53 | Let us Save and execute the file. |
| 02:57 | Switch to Scilab console to solve the example problem. |
| 03:02 | Let us define the data points vector. |
| 03:05 | On the console, type: |
| 03:07 | x equal to open square bracket nine point zero comma nine point five comma eleven point zero close square bracket. |
| 03:18 | Press Enter. |
| 03:21 | Then type: f equal to open square bracket two point one nine seven two comma two point two five one three comma two point three nine seven nine close square bracket |
| 03:39 | Press Enter . |
| 03:41 | Then type x zero equal to nine point two |
| 03:46 | Press Enter. |
| 03:48 | Let us use a quadratic polynomial interpolating polynomial. |
| 03:53 | Type n equal to two. |
| 03:58 | Press Enter. |
| 04:00 | To call the function, type: |
| 04:02 | y equal to Lagrange open parenthesis x zero comma x comma f comma n close parenthesis |
| 04:14 | Press Enter. |
| 04:16 | The value of the function y at x equal to nine point two is displayed. |
| 04:22 | Let us look at Newton's Divided Difference Method. |
| 04:26 | In this method, Divided Differences recursive method is used. |
| 04:32 | It uses lesser number of computation than Lagrange method. |
| 04:38 | In spite of this, the same interpolating polynomial, as in Lagrange method, is generated. |
| 04:47 | Let us solve this example using Divided Difference method. |
| 04:52 | We are given the data points and |
| 04:54 | the corresponding values of the function at those data points. |
| 05:00 | We have to find the value of the function at x equal to three. |
| 05:05 | Let us look at the code for Newton Divided Difference method. |
| 05:11 | Open the file Newton underscore Divided dot sci on Scilab Editor. |
| 05:18 | We define the function Newton underscore Divided with arguments x, f and x zero. |
| 05:29 | x is a vector containing the data points, |
| 05:33 | f is the corresponding function value and |
| 05:36 | x zero is the unknown interpolation point. |
| 05:41 | We find the length of vector and then equate it to n. |
| 05:46 | The first value of vector is equated to a of one a(1). |
| 05:51 | Then we apply divided difference algorithm and compute the divided difference table. |
| 05:57 | Then we find the coefficient list of the Newton polynomial. |
| 06:03 | We sum the coefficient list to find the value of the function at given data point. |
| 06:10 | Save and execute the file Newton underscore Divided dot sci. |
| 06:16 | Switch to Scilab console. |
| 06:19 | Clear the screen by typing c l c. |
| 06:22 | Press Enter. |
| 06:24 | Let us enter the data points vector. |
| 06:27 | Type: x equal to open square bracket two comma two point five comma three point two five comma four close square bracket |
| 06:39 | Press Enter. |
| 06:41 | Then type values of the function |
| 06:44 | f equal to open square bracket zero point five comma zero point four comma zero point three zero seven seven comma zero point two five close square bracket |
| 07:01 | Press Enter. |
| 07:03 | Type x zero equal to three |
| 07:06 | Press Enter. |
| 07:08 | Then call the function by typing |
| 07:11 | I P equal to Newton underscore Divided open parenthesis x comma f comma x zero close parenthesis |
| 07:23 | Press Enter. |
| 07:25 | The value of y at x equal to three is shown. |
| 07:30 | Let us summarize this tutorial. |
| 07:33 | In this tutorial, |
| 07:34 | we have learnt to develop Scilab code for interpolation methods. |
| 07:40 | We have also learnt to find the value of a function at new data point. |
| 07:46 | Solve this problem on your own using Lagrange method and Newton's Divided Difference method. |
| 07:54 | Watch the video available at the link shown below. |
| 07:57 | It summarizes the Spoken Tutorial project. |
| 08:00 | If you do not have good bandwidth, you can download and watch it. |
| 08:05 | The spoken tutorial project Team: |
| 08:07 | Conducts workshops using spoken tutorials |
| 08:10 | Gives certificates to those who pass an online test. |
| 08:14 | For more details, please write to contact@spoken-tutorial.org |
| 08:22 | Spoken Tutorial Project is a part of the Talk to a Teacher project. |
| 08:26 | It is supported by the National Mission on Eduction through ICT, MHRD, Government of India. |
| 08:33 | More information on this mission is available at http://spoken-tutorial.org/NMEICT-Intro. |
| 08:38 | This is Ashwini Patil, signing off. |
| 08:41 | Thank you for joining. |
