Machara Mathematics
Machara Mathematics
  • 115
  • 58 952
Understanding Graphs: Vertices and Edges in Undirected and Directed Graphs
Learn the basics of graph theory!
In this video, we cover:
Graphs: What they are.
Vertices and Edges: Key components.
Undirected vs. Directed Graphs: Main differences.
Perfect for beginners in computer science and math. Like, comment, and subscribe for more!
Переглядів: 75

Відео

Lecture - 7: Planar graphs
Переглядів 87Місяць тому
Lecture - 7: Planar graphs
Lecture - 9: Tree
Переглядів 70Місяць тому
Lecture - 9: Tree
Lecture - 8: Graph coloring
Переглядів 74Місяць тому
Lecture - 8: Graph coloring
Lecture-6 (part-3/3) : Hamilton Paths Circuits
Переглядів 76Місяць тому
In this video, the concept of Hamilton paths/circuit is explained. Discussed sufficient conditions to find Hamilton paths/circuits. Watch the video for a clearer understanding through detailed examples and visuals. Don’t forget to like, share, and subscribe!
Lecture-6 (part-2/3) : Euler Path, Circuit in directed graphs
Переглядів 68Місяць тому
In this video, the concept of Euler path/circuit for directed graphs is explained. Discussed Necessary and sufficient conditions for the existence of Euler path/circuit. Watch the video for a clearer understanding through detailed examples and visuals. Don’t forget to like, share, and subscribe!
Solutions of Non Homogeneous Linear Recurrence Relations
Переглядів 231Місяць тому
Solutions of Homogeneous Linear Recurrence Relations: ua-cam.com/video/8pLsaLVgea4/v-deo.html This video explains how to solve non-homogeneous linear recurrence relations with constant coefficients, including finding characteristic equations and general solutions.
Lecture-6 (part-1/3) : Euler Path, Circuit
Переглядів 98Місяць тому
In this video, the concept of Euler path/circuit is explained. Discussed Necessary and sufficient conditions for the existence of Euler path/circuit. Watch the video for a clearer understanding through detailed examples and visuals. Don’t forget to like, share, and subscribe!
Lecture 5: ( part - 3/3): Strongly connected and weakly connected graphs
Переглядів 782 місяці тому
In this video, the concept of paths in the digraph is explained. Discussed strongly connected and weakly connecting graphs. Watch the video for a clearer understanding through detailed examples and visuals. Don’t forget to like, share, and subscribe!
Lecture-5 (Part-2/3) : Cut vertex and cut edges, finding no. of paths of length n
Переглядів 722 місяці тому
Lecture-5 (Part-2/3) : Cut vertex and cut edges, finding no. of paths of length n
Lecture - 5 ( part-1/3): Subgraphs, paths, circuits
Переглядів 802 місяці тому
Lecture - 5 ( part-1/3): Subgraphs, paths, circuits
Solutions of Homogeneous Linear Recurrence Relations
Переглядів 3332 місяці тому
This video explains how to solve homogeneous linear recurrence relations with constant coefficients, including finding characteristic equations and general solutions.
Lecture-4 (Part-2): Graph Isomorphism -2/2
Переглядів 1962 місяці тому
In this video, the concept of isomorphic graphs is explained using adjacency matrices. You'll see how two graphs can be determined to be isomorphic through their adjacency matrices with clear examples. Watch the video for a clearer understanding through detailed examples and visuals. Don’t forget to like, share, and subscribe!
Lecture- 4: Graph Isomorphism -1/2
Переглядів 1682 місяці тому
In this video, the concept of isomorphic graphs is explained with examples. Watch the video for a clearer understanding through detailed examples and visuals. Don’t forget to like, share, and subscribe!
Lecture-3: " Representation of Graphs: Adjacency and Incidence Matrices"
Переглядів 1062 місяці тому
In this video, we cover the representation of graphs using adjacency matrices and incidence matrices. We explain how to construct these matrices and provide examples for better understanding.
Lecture-2: Bipartite and Complete bipartite graphs Km, n
Переглядів 1522 місяці тому
Lecture-2: Bipartite and Complete bipartite graphs Km, n
Directional Derivative
Переглядів 1567 місяців тому
Directional Derivative
Simplex Method LPP (Linear Programming Problem)
Переглядів 4257 місяців тому
Simplex Method LPP (Linear Programming Problem)
Finite Differences -2 ( Finding missing terms )
Переглядів 467 місяців тому
Finite Differences -2 ( Finding missing terms )
Finite Differences - 1
Переглядів 437 місяців тому
Finite Differences - 1
Finite Differences operator and Relation between operators
Переглядів 667 місяців тому
Finite Differences operator and Relation between operators
Gauss central Difference Formulae
Переглядів 387 місяців тому
Gauss central Difference Formulae
Numerical Optimization (Critical Points)
Переглядів 1957 місяців тому
Numerical Optimization (Critical Points)
Constrained Optimization (Lagrange multipliers and Analytical method)
Переглядів 2187 місяців тому
Constrained Optimization (Lagrange multipliers and Analytical method)
Newton Raphson Method and Iteration Method
Переглядів 1117 місяців тому
Newton Raphson Method and Iteration Method
Hessian matrix
Переглядів 2 тис.7 місяців тому
Hessian matrix
Jacobian Matrix and Applications
Переглядів 2147 місяців тому
Jacobian Matrix and Applications
Regula Falsi or False Position Method
Переглядів 357 місяців тому
Regula Falsi or False Position Method
Bisection Method
Переглядів 1107 місяців тому
Bisection Method
Find eigenvalues and eigenvectors of the Matrix
Переглядів 3029 місяців тому
Find eigenvalues and eigenvectors of the Matrix

КОМЕНТАРІ

  • @DJN55
    @DJN55 2 місяці тому

    Good explanation sir please continue like this 😊

  • @dasariramu8412
    @dasariramu8412 2 місяці тому

    Tq

  • @dasariramu8412
    @dasariramu8412 2 місяці тому

    Tq sir

  • @leelaprasadgedela3731
    @leelaprasadgedela3731 2 місяці тому

    Very nice explanation Sir.Thank you Sir

  • @ifkingdepressed
    @ifkingdepressed 2 місяці тому

    thanks a lot sir, i have this in exam I hope to get your blessings

  • @Hooooowjsnduhjjsnshs
    @Hooooowjsnduhjjsnshs 2 місяці тому

    Thank u so much sir

  • @prasadcode58
    @prasadcode58 3 місяці тому

    After finding a lot, my search is complete, and you explained the problem very well and it is easy to understand, thank you so much sir ✨

  • @Chigaemezu.
    @Chigaemezu. 6 місяців тому

    Nothing is showing 😭

    • @macharamathematics
      @macharamathematics 6 місяців тому

      Yes it seems screen got struck, I will try to make one more video and I will post.

  • @Chigaemezu.
    @Chigaemezu. 6 місяців тому

    I understood everything, God bless youuuuuuuuu continuously 🥳🥳🥳🥳🥳🥳🥳🥳

  • @Chigaemezu.
    @Chigaemezu. 6 місяців тому

    Thank you sooooo mucchhhhhhh🥹🥹🥹❤️❤️❤️ God bless you for this explanation 🥹🙌🏾🙌🏾🙌🏾🙌🏾🎊🙌🏾🙌🏾🙌🏾🙌🏾🙌🏾🙌🏾🙌🏾

  • @Ammulu1523
    @Ammulu1523 7 місяців тому

    Thank you sir🙌

  • @nagalakshmiboddu2441
    @nagalakshmiboddu2441 7 місяців тому

    Super explanation Sir

  • @pravallikapravallika3295
    @pravallikapravallika3295 7 місяців тому

    Inplace of 6(y-2) in Hessian matrix is 6(y-3)

    • @mdtaufiquerazi9876
      @mdtaufiquerazi9876 6 місяців тому

      So the diagonal of hessian matrix will be 2 and 0 right?

  • @hahaavasaramaabro3235
    @hahaavasaramaabro3235 9 місяців тому

    That's a crystal clear explanation sir 👏👏🙌

  • @Vigyanology
    @Vigyanology 11 місяців тому

    This is the best explanation I have found so far. It feels so easy now. Thanks! 🎉

  • @NaveenTummidi
    @NaveenTummidi 11 місяців тому

    Excellent video sir..

  • @Abhi-ou2bb
    @Abhi-ou2bb Рік тому

    very nice explanation sir, thanks a lot

  • @Abhi-ou2bb
    @Abhi-ou2bb Рік тому

    thanks sir crystal clear explanation

  • @sunnykulshrestha2155
    @sunnykulshrestha2155 Рік тому

    you are the best

  • @pratimabhabak3688
    @pratimabhabak3688 Рік тому

    Unit eigen value explanation plz.?

    • @macharamathematics
      @macharamathematics Рік тому

      Vector of length 1 is called unit vector. We write U and V matrices with eigen vectors of length one they are called unit eigen vectors. Example : we obtained ( 1, 1) as an eigen vector, but it is of lenth √2. Here Unit eigen vector will be (1/√2, 1/√2).

  • @islemzi1
    @islemzi1 Рік тому

    Why we choosed in sigma the values of u not v?

    • @macharamathematics
      @macharamathematics Рік тому

      Singular values are the square root of eigenvalues which are common to both U and V. Here 10 and 12 are the common eigenvalues of U and V.

  • @brajeshmohanty2558
    @brajeshmohanty2558 Рік тому

    Have u watched the master movie ur are the real life master man. U haven't skipped a single step. And ur explanation is crystal clear ❤😎thee thalapathy . A lots of Love from odisha.

    • @macharamathematics
      @macharamathematics Рік тому

      Thank you very much for the nice words ❤️. I wish you all the best.

  • @DJN55
    @DJN55 Рік тому

    Very good explanation thanks naidu sir

  • @nihalchoutapelly1430
    @nihalchoutapelly1430 Рік тому

    thanks a lot sir

  • @sandipsaha8868
    @sandipsaha8868 Рік тому

    Life saving lecture

  • @mayanksinha7612
    @mayanksinha7612 Рік тому

    Best and precise explaination sir ❤❤

  • @aryaunni9142
    @aryaunni9142 Рік тому

    Hai sir, I didn’t understand unit eigen vector.

    • @macharamathematics
      @macharamathematics Рік тому

      Hi, Eigen vector of length one is an unit eigen vector. To find it take the eigen vector and find its length then multiply eigen vector with (1/it's length).

  • @marilynroberts5187
    @marilynroberts5187 Рік тому

    *promo sm*

  • @tarzanautowala6506
    @tarzanautowala6506 Рік тому

    Amazing explanation sir

  • @tarunsingh457
    @tarunsingh457 Рік тому

    Really nice explanation sir

  • @ps0795
    @ps0795 Рік тому

    To the point explaintaion.... great teacher indeed

  • @funnycricket548
    @funnycricket548 Рік тому

    🥰🥰

  • @Fanofutube
    @Fanofutube Рік тому

    Thank you sir

  • @Fanofutube
    @Fanofutube Рік тому

    Thank you sir...

  • @utkarshmangal6559
    @utkarshmangal6559 Рік тому

    great video sir, thank you.

  • @Fanofutube
    @Fanofutube Рік тому

    Super question paper sir We are expecting same for future also......

  • @hackers2079
    @hackers2079 Рік тому

    You missed h^2 in 23:35 you only write h

  • @Ateeq10
    @Ateeq10 2 роки тому

    Thanks sir

  • @srinivaspatnala6311
    @srinivaspatnala6311 2 роки тому

    There is asking only singular value decomposition at which step we can stop that problem??

  • @saigannavarapu9284
    @saigannavarapu9284 2 роки тому

    Sir, Probability lectures Anni playlist pettandi

  • @user-fv8im
    @user-fv8im 2 роки тому

    Helpful 🥳

  • @user-fv8im
    @user-fv8im 2 роки тому

    Excellent 👌

  • @sunkaramallikharjuna6758
    @sunkaramallikharjuna6758 2 роки тому

    +1

  • @NBOGGAVARAPUMOUNIKA
    @NBOGGAVARAPUMOUNIKA 2 роки тому

    In A(transpose)Ax=A(transpose)B...instead of (0,1,-1) you have taken (0,1,1) sir

    • @macharamathematics
      @macharamathematics 2 роки тому

      Yes, you are correct. Let us assume that the last point is (3,1) instead of (3,-1), then it will be fine.

  • @jyotsnapriya5538
    @jyotsnapriya5538 2 роки тому

    Hi sir Good to see you here sir 🥳. This series of videos will help many students like me. Thank you for helping us.

  • @NKANDIPATIVIDYASREELAKSHMI
    @NKANDIPATIVIDYASREELAKSHMI 2 роки тому

    Sir video is not playing with respect to audio sir

  • @janapalaswathi4262
    @janapalaswathi4262 2 роки тому

    👏👏👏

  • @NGANGADEVIVENKATESWARARAO
    @NGANGADEVIVENKATESWARARAO 3 роки тому

    Nice sir