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Easy Learn with Prof S Chakraverty
Приєднався 19 сер 2012
Lecture 28, Improved Euler and Runge Kutta Methods
Lecture 28, Improved Euler and Runge Kutta Methods
Переглядів: 3 926
Відео
Lecture 27, Intro to Num Sol of ODEs , Euler Method
Переглядів 3,3 тис.4 роки тому
Lecture 27, Intro to Num Sol of ODEs , Euler Method
Lecture 26, Power and Inverse Power method to find largest and smallest E values and vectors
Переглядів 22 тис.5 років тому
Lecture 26, Power and Inverse Power method to find largest and smallest E values and vectors
Lecture 25, Application of E Value probs, Gerschgorin Theorem, inclusion of e values
Переглядів 4,8 тис.5 років тому
Lecture 25, Application of E Value probs, Gerschgorin Theorem, inclusion of e values
Lecture 24, Intro to Eigenvalue Problems
Переглядів 2,5 тис.5 років тому
Lecture 24, Intro to Eigenvalue Problems
Lecture 23, Ill and well condition systems, Condition no
Переглядів 3,9 тис.5 років тому
Lecture 23, Ill and well condition systems, Condition no
Lecture 22, Gauss Seidel Algo and Convergence
Переглядів 10 тис.5 років тому
Lecture 22, Gauss Seidel Algo and Convergence
Lecture 21, Jacobi and Gauss Seidel Iterative Mehods
Переглядів 4,8 тис.5 років тому
Lecture 21, Jacobi and Gauss Seidel Iterative Mehods
Lecture 20, Crout and Cholesky method
Переглядів 3,9 тис.5 років тому
Lecture 20, Crout and Cholesky method
Lecture 19, Column pivoting, LU decompositiond methods, Doolittle method
Переглядів 3,6 тис.5 років тому
Lecture 19, Column pivoting, LU decompositiond methods, Doolittle method
Lecture 18, Linear system of Eqn , Gauss Elimination, Partial pivoting
Переглядів 3,5 тис.5 років тому
Lecture 18, Linear system of Eqn , Gauss Elimination, Partial pivoting
Lecture 17, Newton Cote's formula and Gauss Quadrature Integ
Переглядів 4,2 тис.5 років тому
Lecture 17, Newton Cote's formula and Gauss Quadrature Integ
Lecture 16, Simpson one third example, Simpson three eighth rule, Prof S Chakraverty Lecture 16
Переглядів 2,8 тис.5 років тому
Lecture 16, Simpson one third example, Simpson three eighth rule, Prof S Chakraverty Lecture 16
Lecture 15, Trapezoidal Integ Error Bound, Simpson one third rule, Prof S Chakraverty Lecture 15
Переглядів 3,6 тис.5 років тому
Lecture 15, Trapezoidal Integ Error Bound, Simpson one third rule, Prof S Chakraverty Lecture 15
Lecture 14, Numerical Integration Rectangular and Trapezoidal Prof S Chakraverty
Переглядів 4,6 тис.5 років тому
Lecture 14, Numerical Integration Rectangular and Trapezoidal Prof S Chakraverty
Lecture 13, Cubic Spline continued with example Prof S Chakraverty
Переглядів 9 тис.5 років тому
Lecture 13, Cubic Spline continued with example Prof S Chakraverty
Lecture 12, Finite Diff Operators+ Cubic Spline TheoryProf S Chakraverty
Переглядів 4,5 тис.5 років тому
Lecture 12, Finite Diff Operators Cubic Spline TheoryProf S Chakraverty
Lecture 11, Newton's Back ward Diff Interpolation Prof S Chakraverty
Переглядів 2,9 тис.5 років тому
Lecture 11, Newton's Back ward Diff Interpolation Prof S Chakraverty
Lecture 10: Newton's Forward Diff. Interpolation, Backward diff. interpolation Prof S Chakraverty
Переглядів 3,2 тис.5 років тому
Lecture 10: Newton's Forward Diff. Interpolation, Backward diff. interpolation Prof S Chakraverty
Lecture 09 : Newton's Divided Int continued, Newton's forward Diff Int: Prof S Chakraverty
Переглядів 3,2 тис.5 років тому
Lecture 09 : Newton's Divided Int continued, Newton's forward Diff Int: Prof S Chakraverty
Lecture 08:Lagrange interpolation continued, Newton's Divided Difference : Prof. S. Chakraverty
Переглядів 4,1 тис.5 років тому
Lecture 08:Lagrange interpolation continued, Newton's Divided Difference : Prof. S. Chakraverty
Lecture 07 : Interpolation basics and Lagrange interpolation : Prof S Chakraverty
Переглядів 6 тис.5 років тому
Lecture 07 : Interpolation basics and Lagrange interpolation : Prof S Chakraverty
Lecture 06 : Convergence of Secant Method, System of nonlinear eqns.: Prof. S. Chakraverty
Переглядів 7 тис.5 років тому
Lecture 06 : Convergence of Secant Method, System of nonlinear eqns.: Prof. S. Chakraverty
Lecture 05 : Root finding methods continued, Order of convergence, advantages, Limitations
Переглядів 6 тис.5 років тому
Lecture 05 : Root finding methods continued, Order of convergence, advantages, Limitations
Lecture 04 : Root finding methods continued....: Prof. S. Chakraverty
Переглядів 6 тис.5 років тому
Lecture 04 : Root finding methods continued....: Prof. S. Chakraverty
Lecture 03 : Root finding methods: Prof. S. Chakraverty
Переглядів 9 тис.5 років тому
Lecture 03 : Root finding methods: Prof. S. Chakraverty
Lecture 02 : Error Propagation, Error bounds and iterative method
Переглядів 10 тис.5 років тому
Lecture 02 : Error Propagation, Error bounds and iterative method
Lecture 01 : Introduction to Numerical Analysis (Why, what, how, errors, significant digits etc.)
Переглядів 31 тис.5 років тому
Lecture 01 : Introduction to Numerical Analysis (Why, what, how, errors, significant digits etc.)
Fuzzy functions - Lecture 22 By Prof S Chakraverty
Переглядів 15 тис.8 років тому
Fuzzy functions - Lecture 22 By Prof S Chakraverty
Integration and differentiation of fuzzy functions - Lecture 23 By Prof S Chakraverty
Переглядів 12 тис.8 років тому
Integration and differentiation of fuzzy functions - Lecture 23 By Prof S Chakraverty
Sir can you give me the name of your book source
By Zimmerman
Greetings, Sir 🙏. I am from Assam, and one of your students recommended this playlist to me. As I embark on my research journey in "Fuzzy Sets, Fuzzy Logic, and its Applications," this playlist played a crucial role in helping me secure a position in a PhD program. Thank you so much, Sir. I look forward to the opportunity of meeting you someday. Wishing you good health and expressing my sincere gratitude.❤
Happy to know that these Lectures helped you a lot! Thank you so much! All the best! Yes sometimes we May meet too!
Thank you!!!
Do appreciate
Thankyou sir
sir amazing lectures
Thank you
Thank you
দারুন স্যার
Thank you!
Sir Can you give more information about t- norm and conorm
Sir apko hmare university me hona chahiye tha... ....thnk u sir. For ur effort....in fuzzy set 😍🥰🥰🥰
Thanks so much!
Thank u sir for this beautiful lecture
Sir why you are saying the first 4 axioms as axiomatic skeleton? Will you explain pls?
UA-cam suddenly recommended me your video reminding me of those good old days learning from you sir. Recently I got the news that you visited NIT Agartala as an external examiner. Wish I was there so that I could thank you in person for your valuable contribution in my life. Your lectures helped me a lot. Wishing you good health and prosperity in life. Thank You again.😊
Thanks so much! Do greatly appreciate your nice comments. I visited NIT Agartala sometime ago but not very recently. God bless you!
@@easylearnwithprofschakrave2997 Thank You so much for replying sir.😊
Sir save me in presentation, from NIT Agartala 🙏
All the best
sir please upload more video on fuzzy topics
Thankyou professor. This playlist is exactly what i need for my project.
Thank you so much. Happy to know that it is useful for your project!
🎉
Thank you so much sir it's very helpful for my course
Do greatly appreciate and happy to know that it has been very helpful to you!
Awsome lecture 🥰 thnking u from the heart🙏🏻
Thank you so much
ধন্যবাদ স্যার। 🙏
Thank you
Thanks a lot sir.🎉
Thanks v much
🤩
please sir share theses notes with us.
Dear Professor, which book do you recommend for beginners and that contains many details?
Book by Zimmerman
Many thanks Prof
Recommend a book sir for question practice
Book by Gerald and Wheatley or by Bhat and Chakraverty
Sir what is the criteria of large number.
No direct criteria but depends upon computer that you use!
Woah !
TERRIFIC !🙌
Adbhoot !🙌
Adbhoot!👏
Adbhoot!👏🙏
Thank you
Thanks sir ❤🎉
Do appreciate! Thanks!
Hi sir i want textbook for fuzzy sets please give me any suggestion
May refer book by Zimmermann
I need to contact you doctor please please please
Hello dear Professor, just i want to know one when fuzzy number become interval. You can take triangular or trapezoidal fuzzy number. According to this lecture, when we will take membership function value one then, we will get inetrval but in case of triangular and trapezoidal, we will not it. According to my understanding, when we will take membership function value zero, then we will get interval from triangular and trapezoidal fuzzy numbers.
Hi.can you give my this lecture pdf
Thank you sir just watching this before my mid sem for a quick revision
Good, all the best
kindly tell the book which you are referring.
Not only one book but may follow Zimmerman’s book
which book you are following dear sir?
Not one book but may follow Zimmerman’s book
tq sir🙏
Greatly appreciate! All the best!
Sir you are God's angel who came to my rescue when I lost all the hope of passing the subject. Thankyou for your amazing, simplified and interesting lectures. Now I am confident that I will score good marks in my upcoming exam.
Thank you so much! I am really happy that my little effort is useful for you and others. God bless you!
great explanation sir
Thanks v much
sir please make probability and statistics videos also
Will try Pl
Nice sir
Thank you
Please Explain types of scaling, sampling space and ranking techniques in Genetic algorithm.
sir you have taught very well...🥰🥰
Thank you so much
Your methods of teaching is excellent sir. Please upload more lectures of msc maths level of this semester also. I will be very thankful to you
Thank you so much!
Good morning. Compliments for the lectures, really clear explanations, I find them really useful for preparing an exam. I was wondering if there are any notes of the course, if there are any, may I have access to them? Have a good day
Thank u so much. Notes u May prepare from the video itself, I believe.
At 20:00min You wrote -0.625 won't that be -1
Wonderful lecture sir we didn't feel it little bit boring !
Thank you so much
It is great sir. I missed the lecture on numerical analysis and now covering backlog through the same professor's YT lectures.
Thanks a lot
sir in the prove of convergence of fixed point you have written that K to the power n tends to 0 since (K =1) and said that K<1 is that K=1 is correct ??
K<1 is correct only
Really good course. If you could also provide it's notes then i will be very thankful
Thank you
@@easylearnwithprofschakrave2997 i need it's notes. Can you please provide me?