Calculating Time complexity of a Polynomial Algorithm (Big O)

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I have seen and went through many free DSA courses on YT which are ofc not much, but firstly i'm delighted to see one of such amazing DSA course on YT and most importantly the way you strucutred the complexity part is something i have not seen much with other courses and i understood that very easily .
Looking forward to this course.
Thanks alot sir !

priyamjain
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I don't have clarity about time complexity till now. After watching your video all doubts are cleared.Thank you sir.

nareshkagollu
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Best part about ur videos is the examples, which make it very easy for us to understand the topic, thanks for uploading such content in YT.

karansinghi
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I am really great full and thank full for you Dinesh. After several attempts of understanding this Big O notation from many resources this is the first time I am able to understand this big o notation. Thanks a lot.

venkatabhargav
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Best series for DS & Algo. I am also 10 yrs java exp guy. Was looking for DS & Algo free course over YouTube with java implementation and found this. Hats Off To You Man....Excellent Work. GOD BLESS YOU :)

shubhamagarwal
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Hello sir, I go through various free available courses on internet. But till now this is the best i have ever met on DSA.
I watched total 9 videos and found the best content on defining DSA and time complexity.

rishabhgarg
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Are polynomials applied in the management of Kubernetes pods, and if so, to what extent or degree should one consider deleting and recycling pods? Given that Kubernetes pods operate based on time and counter-based metrics, and also require adequate storage, the question arises: how is this necessary storage calculated? Specifically, how does Kubernetes apply polynomial functions, such as 2x³ + 3x² + x + 5, to the distribution of storage space? What methods or parameters are used in this calculation, and are there potential errors or uncertainties that may arise in such implementations?

JohnbelMahautiere
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Thanks a lot Dinesh Varyani. This has helped me a lot.

dineshr
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Very nice explanation sir thankyou so much 🙏🏼🙏🏼🙏🏼

someshsahu
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How i++ executed 3n times ? it will execute only n

satyagowridigudari
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ok completed till here and it's going nice. the best thing i found that u teach fast and cover what's imp. and talk only point to point.

abhishekanand
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Great videos. Thank you! Just curious, do we add OR multiply unit times taken by operations on each line in case of nested loops?

ericpatki
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Thanks for your great help....
thanks a lot

piyushmishra
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Thanks for this great explorations. Is there any way to get the slides?

tawfeeqreda
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Sir plz make a video on calculating logarithmic time complexity

sejalsaka
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I think Logarithmic running time is missing in the series, hope you will add it soon to your series

vijaykandala
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Can please explain time complexity for logarithimic algorithms?

suvosstudio
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what about these O(log n), O(n log n), O(n ^ 1/2) ??

sathiyadev
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sir you only taught us time complexity about bigO notation in these playlist and not about delta and omega notation, why?

harsharora
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I can't understand 2, 3, 4 operation

rehnumabano