humanology 2110 .

  • 2 weeks ago
Transcript
00:00:00Hello friends, yeah, welcome to Human Allergy 2110, 2-1-1-0, yeah, welcome, so, uh, let's
00:00:15do some stretching, how about that, yeah, ground stretching, like splits and stuff,
00:00:26so, let's go, yeah, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay,
00:00:53okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay,
00:01:22intense, all right,
00:01:42okay,
00:01:48uh, some stretching, shoulder,
00:02:05oh, oh, cool down, stretching,
00:02:10oh, okay,
00:02:22oh,
00:02:25oh,
00:02:32okay,
00:02:46okay, oh,
00:02:52yeah, so, some stretching, now, let's do some warm-ups, okay, yeah, just a little bit,
00:03:02one, two, three, four, five, six, seven, eight, nine, ten, okay, uh,
00:03:17good, uh, now, cool down, stretching,
00:03:33uh,
00:03:47okay, very cool, five minutes break, please, thank you, good exercise there, yeah, very cool.
00:04:02Okay,
00:04:32uh,
00:04:45um,
00:04:59um,
00:05:15okay,
00:05:29you,
00:05:59you,
00:06:29you,
00:06:59you,
00:07:29you,
00:07:59Yeah, we'll get back to mathematics, but for now, let's talk a little bit news.
00:08:20First of all, in the app that I downloaded, the VDF Downloader, best download for Facebook
00:08:29videos, right?
00:08:30Oh, it was fantastic.
00:08:31I really appreciate the software engineers, application, computer programmers, yeah, thank
00:08:38you.
00:08:39Yeah, it works so well.
00:08:40Yeah, because like when it's not like copyright protected material, then I do Facebook Live
00:08:47and then I download with the VDF Downloader and upload to YouTube, you know, so VDF Downloader
00:08:54works fantastic.
00:08:55Yeah.
00:08:56Words of appreciation.
00:08:57Okay.
00:08:59Also, yeah, Jack Smith is like a special prosecutor or something.
00:09:03I misspoke.
00:09:04Autogen is Merrick Garland, right?
00:09:07Yeah, sure.
00:09:08But Jack Smith, no matter what his job title is, I don't know, he and his team came up
00:09:16with a good argument there, okay?
00:09:18Yeah.
00:09:19Like Trump running for 2020 election, that's not an official act, he's a private citizen,
00:09:26private candidate, okay?
00:09:28So what he did, that should not be protected as an official act, not should be by the U.S.
00:09:35Supreme Court opinion, right?
00:09:37Yeah, sure.
00:09:38Good argument there, yeah.
00:09:40Smart, yeah.
00:09:41True, yeah.
00:09:47Yeah.
00:09:49Now, let's get back to mathematics.
00:09:54Also, JD Benz, he did very well in the debate.
00:09:56I was quite impressed.
00:09:57Yeah.
00:09:58Smart guy, yeah.
00:09:59Also handsome.
00:10:00Sure, sure.
00:10:01It's just that he's compromising his moral value, you know, to get power.
00:10:07Very Faucian corruption, okay?
00:10:10Like Dr. Fauci, you know.
00:10:12Fetish.
00:10:13Novel.
00:10:14Okay.
00:10:15Yeah.
00:10:17Yeah.
00:10:21Yeah, so when it comes to political candidates, whether they're Democrats or Republicans,
00:10:28they're my moral support, you know?
00:10:31I want them to be moral.
00:10:33I do not want them to compromise their moral value, you know, to get more power, like JD
00:10:37Benz or Donald J. Trump does, okay?
00:10:40They're my moral support, okay?
00:10:42Okay.
00:10:46Okay.
00:11:01I think we need to make more examples, okay?
00:11:04Because what we need to find is we have algorithm to find principal Bezu coefficients when two
00:11:15inputs of gamma function are co-primes to each other.
00:11:19It works very well, okay?
00:11:21But we do not have, we want to find algorithm for two inputs for gamma function when they
00:11:30are not co-primes.
00:11:33That will be our next step.
00:11:35In order to do that, yeah, we need to make some more examples, okay?
00:11:38Yeah.
00:11:39Okay.
00:11:40Sure.
00:11:48Let's just continue to the next base of 14.
00:11:57Okay.
00:12:03Okay.
00:12:30Okay.
00:12:33Okay.
00:12:47Okay, 17 and 14, that's, they're co-primes, right?
00:12:51So we know what to do.
00:13:03Okay.
00:13:06Okay.
00:13:07Yeah, x is 5.
00:13:12And we adopt plus 1.
00:13:15Yeah.
00:13:1615, x is 5, okay?
00:13:18So 3 times 5, 15.
00:13:20This, 14 times 1, yeah, it's okay as 1, okay?
00:13:26Okay, so 14 times 1 plus 1.
00:13:2915 is equal to 14 plus 1, okay?
00:13:33Okay.
00:13:35So x is 5.
00:13:4985.
00:13:5314 times 6.
00:14:0084.
00:14:03Works like magic, right?
00:14:04Yeah.
00:14:06So 14 times minus 6.
00:14:08Okay.
00:14:18Yeah.
00:14:22Works like magic, okay?
00:14:23Yeah.
00:14:24Now, 18.
00:14:3318.
00:14:37Because we don't have algorithm?
00:14:43But let's try that anyway.
00:14:5018 is equal to 14 plus 4.
00:14:56Now, 4 times x is equal to 14 times k.
00:15:03Plus minus 2.
00:15:07What if x is 2?
00:15:12I mean, what if x is 3?
00:15:2212, right?
00:15:23Yeah.
00:15:24And k is equal to 1.
00:15:26And we adopt minus 2.
00:15:29So 12 is equal to 14 minus 2, okay?
00:15:33And...
00:15:4018 times 3.
00:15:4554.
00:15:48Now, 14 times 4.
00:15:5756.
00:15:58So it works, okay?
00:16:03Because there's no rhyme or reason why it should not work
00:16:06when there are not good problems, okay?
00:16:08So, yeah.
00:16:09So it works.
00:16:10Good.
00:16:16Okay.
00:16:18So x is 3.
00:16:2154.
00:16:23So we'll do...
00:16:24Put minus 3.
00:16:26Minus 54.
00:16:27Plus...
00:16:2914 times 4.
00:16:31Which is 56.
00:16:33Yeah, minus 54 plus 56, 2.
00:16:37Okay?
00:16:38Yeah.
00:16:39Good.
00:16:4719.
00:17:03x is 3.
00:17:09So...
00:17:1019 times 3.
00:17:1357.
00:17:16Yeah, we have 56 there.
00:17:18Yeah.
00:17:25Okay.
00:17:33Okay.
00:17:36Yeah, great common divisor between 20 and 14.
00:17:39Cool.
00:17:40Okay, so...
00:17:43Cheers.
00:17:48Okay.
00:17:52So it turned out to be the same algorithm for knowing four problems, too, okay?
00:17:56Which is fantastic.
00:17:57Yeah.
00:18:03So...
00:18:15We'll have to minus 2.
00:18:17So when x is 2.
00:18:2240.
00:18:28And...
00:18:30Uh...
00:18:33Then we have 42.
00:18:35Yeah, 14 times 3, right?
00:18:41Okay.
00:18:51Mm-hmm.
00:18:53Now, 1, 2, 3, 4, 5, 6.
00:19:00Okay.
00:19:01We have one more to go.
00:19:02And then it will replace that, okay?
00:19:0521.
00:19:09Well, actually, it's 7.
00:19:17Yeah.
00:19:1921 times 1 plus...
00:19:2214 times minus 1.
00:19:25Okay, yeah.
00:19:27So...
00:19:281, 2, 3, 4, 5, 6, 7.
00:19:33Okay?
00:19:34So 6 of them.
00:19:41We have 6 of them.
00:19:43And after that, 6 of them, okay?
00:19:45Yeah, so...
00:19:47And so...
00:19:486 plus 6, 12.
00:19:5012 plus 1, 13.
00:19:5313 plus 1, 14.
00:19:54Okay, so we have to compress that.
00:19:57Okay, yeah.
00:19:58This is polyndromic.
00:20:00Like, anti-polyndromic.
00:20:02Yeah, it's symmetric, but except the signs.
00:20:06Okay? Yeah.
00:20:07Good.
00:20:10Okay.
00:20:11Yeah, 5 is broken. Thank you.
00:20:13Very poor.
00:20:17Okay.
00:20:18Oh, no.
00:20:24There we go.
00:20:34Okay.
00:20:355 minutes. Thank you.
00:20:37Mm-hmm.
00:20:48Okay.
00:21:14Okay.
00:21:18Yeah.
00:21:27Yeah.
00:21:48you
00:22:18you
00:22:48you
00:23:18you
00:23:39okay so yesterday I think we found some
00:23:45cases where our algorithm didn't quite
00:24:15used. Well, I think I already told it. Okay, let me grab it.
00:24:35Yeah.
00:24:38Yeah, the principle left that's coefficient algorithm. Okay, yeah. Let's
00:24:43study that some more. Examine. Explore. Okay, yeah. Cheers.
00:24:50Mm-hmm.
00:24:53Yeah.
00:25:07Let's make some more exam. Okay.
00:25:12Both one.
00:25:16When argument is 35.
00:25:2535 and 14. Yeah, GCD 7.
00:25:31We can just call it gamma. Okay, so GCD. Okay, yeah.
00:25:37Yeah.
00:25:44It's not that trivial. Okay, so let's work out our algorithm. Okay.
00:25:53Actually,
00:25:5828 plus 7.
00:26:03Okay, so
00:26:097 times X is equal to 14 times K
00:26:15plus minus 7.
00:26:18Okay.
00:26:23X is 1.
00:26:27K is
00:26:311 and we adopt 7. Okay, so when X is 1.
00:26:37Okay, so 35 times 1
00:26:41plus 14 times
00:26:45minus 2. Okay.
00:26:48Sure, so it works.
00:27:01Yeah.
00:27:07How about 42?
00:27:31Uh,
00:27:3428.
00:27:3842. Yeah, this one is not trivial. Okay, yeah.
00:27:44So let's apply our algorithm. Okay, so
00:27:5035 plus 7.
00:27:55Yeah.
00:28:01Cheers.
00:28:10So 7X is 14K plus minus 7.
00:28:19Yeah, so I think this is the case where our algorithm does not seem to work. Okay.
00:28:27Maybe we need to tweak,
00:28:31enhance our algorithm a little bit so that it's more inclusive. Okay, so yeah.
00:28:36Cheers, yeah.
00:28:47Okay, so you have
00:28:5214, 28,
00:28:5642,
00:28:59multiples of 14. Okay, yeah, and
00:29:0356
00:29:06and multiples of 42. Yeah, 42.
00:29:1184
00:29:14and 14.
00:29:17Uh,
00:29:1970.
00:29:27Uh,
00:29:33multiples of 14. Okay.
00:29:37Okay.
00:29:54Actually,
00:29:57my bad.
00:30:01GCD of 42 and 14 is actually 14.
00:30:0614 times 3 is 42. Okay, so.
00:30:10Okay.
00:30:12If that's the case,
00:30:14let's apply our algorithm.
00:30:17Um,
00:30:2442 is equal to?
00:30:30Okay.
00:30:40Let's relax. Okay.
00:30:45My neck is hurting a little bit.
00:30:50Uh,
00:30:53okay.
00:30:59There's some talk about that.
00:31:11Cheers.
00:31:18Oh, it's good.
00:31:21Fantastic.
00:31:25Okay.
00:31:48Yeah, we like the non-trivial cases because it's challenging.
00:31:52Okay.
00:31:56Oh, yeah.
00:32:08Okay.
00:32:12Cheers.
00:32:23Oh,
00:32:2842 is equal to?
00:32:40Uh,
00:32:4314.
00:32:5014 times 3 plus 0.
00:33:04So it's not, it doesn't quite work.
00:33:09Like,
00:33:14or we can do like, uh,
00:33:1828 plus 14.
00:33:22So for fun, then 14 times x is equal to,
00:33:25according to our present algorithm,
00:33:28which may not be perfect,
00:33:31which is fine.
00:33:33And then this is a 14k
00:33:36plus minus 14.
00:33:44And we can say x is 1,
00:33:47k is 0,
00:33:50and we adopt
00:33:53plus 14, okay? Yeah.
00:33:58So 42 times 1
00:34:01plus
00:34:04uh, 14 times
00:34:0728, minus 28
00:34:1028, minus 28.
00:34:13Oh, that works. Yeah, sure.
00:34:16Sure.
00:34:19Yeah.
00:34:21So our algorithm actually works,
00:34:24even in these cases.
00:34:27Great.
00:34:34Uh,
00:34:36but yesterday didn't,
00:34:38there were some examples yesterday
00:34:41that our algorithm did not seem to work.
00:34:44Maybe we misapplied it.
00:34:47Okay? We're kind of refining our algorithm.
00:34:50So, okay. Okay. Good.
00:34:54So, yeah, let's get back to yesterday's example.
00:34:57Yeah. Like, there's 12, I think.
00:35:00That's where it was, I think. Sure. We can do that.
00:35:03Five minutes, okay? Thank you. Yeah.
00:35:07Making very good progress here.
00:35:15Okay.
00:35:18Five minutes. Thank you.
00:35:36Okay.
00:35:39Okay.
00:36:09Okay.
00:36:16Very, very cool.
00:36:39Okay.
00:37:09Okay.
00:37:39Okay.
00:37:42Okay.
00:38:06So I guess we need to add some rules
00:38:09to this algorithm, okay?
00:38:12Some rules.
00:38:15Yeah, it's, in algorithm,
00:38:18like computer programming, okay?
00:38:21Rules are executed
00:38:24by if-then-else statement,
00:38:27something like that, okay?
00:38:30So, kind of, okay?
00:38:33Conditional logic, okay? Propositional logic.
00:38:36Yeah.
00:38:39Let's relax. Let's slow down, okay?
00:38:42We have some human knowledge here.
00:38:45Let's take a break from mathematics, okay?
00:38:48Cheers.
00:38:51For everything in human knowledge,
00:38:54there's a good way to do it and a bad way to do it, okay?
00:38:57Like, to be powerful and famous,
00:39:00wealthy, there's a good way to do it
00:39:03Good way to do it? Yeah, be ethical and moral.
00:39:06Do not compromise your morality.
00:39:09Yeah, and work, study, exercise, yeah.
00:39:12But bad way to do it?
00:39:15Yeah, compromise morality, like,
00:39:18Jay-Z bans Donald Trump, okay?
00:39:21That's a bad way to achieve fame, power, money, okay?
00:39:24Now...
00:39:34In Christianity,
00:39:37like, Mr. Jesus
00:39:40said,
00:39:43well, human knowledge learns from Christianity,
00:39:46including Mr. Jesus' lessons, but we deviate from
00:39:49Christianity. Human knowledge is not a sub-branch
00:39:52of Christianity. It's not.
00:39:55It's its own religion and science, okay?
00:39:58But we learn from them, okay?
00:40:01Jesus said, yeah, you cannot worship mammon,
00:40:04which is like money, okay? You cannot worship mammon and God
00:40:07at the same time, okay? Yeah, there's some good
00:40:10lessons there, but the thing is this, okay?
00:40:13In human knowledge, we do not see
00:40:16wealth as something bad, but Jesus
00:40:19kind of does. Yeah, Jesus met a young man
00:40:22with a wealthy man, and
00:40:25Jesus said, yeah, give all your money
00:40:28to poor people and then follow me.
00:40:34In human knowledge, we kind of disagree
00:40:37with that parable, okay?
00:40:40Because in human knowledge,
00:40:43we are not against wealth.
00:40:46We are not against it, okay?
00:40:49As a humanologist,
00:40:52my recommendation to somebody wealthy,
00:40:55invest
00:40:58your money
00:41:01and let the company grow.
00:41:04Yeah, some charities, sure,
00:41:07if you want to, but
00:41:10you don't have to. Why?
00:41:13Because creating jobs
00:41:16by investment,
00:41:19that's better
00:41:22than handing out free money.
00:41:25Well, handing out free money, charity does have very good
00:41:28values, but
00:41:31like Judaism, Talmud, okay, yeah,
00:41:34do not give the fish, give the fishing pole
00:41:37so that
00:41:40this young person will be
00:41:43economically independent.
00:41:46But charity is important.
00:41:49Sometimes we need it.
00:41:52I went to a homeless shelter
00:41:55when I was younger, okay?
00:41:58Well, not a homeless person per se, but
00:42:01as a traveler, okay, because
00:42:04yeah, okay?
00:42:07Only by sitting there, okay?
00:42:11I mean, like
00:42:14Hurricane Helen, yeah, they need
00:42:17free food.
00:42:20Flooding situation in
00:42:23Southeastern America, okay, 2024.
00:42:26Hurricane Helen, okay?
00:42:29They need free food, free water.
00:42:32Yeah, free money.
00:42:35They need it. So I appreciate charity.
00:42:38It's important, okay?
00:42:41What I'm saying is, yeah, charity is good, but
00:42:44you don't have to, if you're wealthy, you don't have to
00:42:47give all your money to the poor people.
00:42:50No, no, I don't think it's a good idea.
00:42:53What's a better idea?
00:42:56Maybe some charity, but also investment.
00:42:59Yeah, to create jobs.
00:43:02Okay?
00:43:08Maybe invest in an educational program, too.
00:43:11Like scholarship, perhaps.
00:43:14Okay?
00:43:21Yeah.
00:43:24So if you're wealthy, invest
00:43:27in a brand new sector.
00:43:30Yeah, your company, like you can be
00:43:33one company.
00:43:36Yeah, do like Amazon.com, Microsoft.
00:43:39Yeah.
00:43:42Buy up some failing businesses, investment, okay?
00:43:45And then expand your business.
00:43:48Amazon used to sell just books.
00:43:51Now it sells everything.
00:43:54They expanded
00:43:57to other area of industry.
00:44:00They sell clothing these days.
00:44:03Over-the-counter medicine, Amazon.com, okay?
00:44:06Yeah, expanding your business by investment.
00:44:09Okay?
00:44:12That's very important.
00:44:15There is something Jesus did not talk about.
00:44:18Well, actually, he kind of did.
00:44:21Yeah, parable of talent.
00:44:24So Jesus is not anti-business.
00:44:27Okay?
00:44:30Trade and make more money.
00:44:33Double your money, triple your money.
00:44:36Yeah, Jesus liked that.
00:44:39Okay?
00:44:42Okay?
00:44:45Yeah.
00:44:48So yeah, be successful, okay?
00:44:51No, let's take five minutes break, right?
00:44:54I need some vocal rest.
00:44:57Okay?
00:45:00Yeah, it's good balancing act between mathematics
00:45:03and non-mathematics.
00:45:06Yeah, welcome to Human Rights School.
00:45:09We study everything, okay?
00:45:12We teach everything, too.
00:45:15Everything that is good.
00:45:18Five minutes. Thank you.
00:45:21Yeah.
00:47:28Okay, now, let's continue to take a break from mathematics.
00:47:31Some news, okay?
00:47:34I mean, Biden is discussing with Israel
00:47:37that Israel may target some oil field in Iran.
00:47:40That's a bad idea.
00:47:43I mean, that's a horrible idea.
00:47:46Okay?
00:47:49My recommendation to Israel, yeah,
00:47:52do not attack Iran.
00:47:55Okay? Yeah.
00:47:58What Israel should do is
00:48:01to help rebuild Gaza,
00:48:04West Bank, and stop bullying them
00:48:07and, yeah,
00:48:10be nice to Palestinians.
00:48:13Okay?
00:48:16Yeah.
00:48:19There are my recommendations to Israel.
00:48:22Do not attack Iran
00:48:25because the reason why Iran supports
00:48:28Hezbollah or Hamas
00:48:31is that they're
00:48:34Arabs and they're Muslims
00:48:37just like Palestinians.
00:48:40Iranian government, okay?
00:48:43So they're sympathetic to the suffering of Palestinians
00:48:46in Gaza and West Bank.
00:48:49That's why they're supporting Hamas and Hezbollah.
00:48:52Okay?
00:48:55So what Israel should do, be more peaceful with
00:48:58Palestinians.
00:49:01That's what Israel should be focusing on.
00:49:04Okay?
00:49:07Yeah.
00:49:10Okay?
00:49:13I love all countries, okay?
00:49:16Yeah.
00:49:19Now,
00:49:22let's get back to mathematics, okay?
00:49:25We took it off, right?
00:49:28Hmm?
00:49:36From yesterday, okay?
00:49:39Yeah.
00:49:42Let's look at number 14.
00:49:45Page 12,
00:49:48argument 14, okay?
00:49:51Okay?
00:49:54So...
00:49:57Yeah.
00:50:00Yeah.
00:50:03Yeah.
00:50:06Yeah.
00:50:09Yeah.
00:50:12Okay.
00:50:15Okay.
00:50:18X is 1.
00:50:21K is 0.
00:50:24And we adapt
00:50:27plus 2.
00:50:30Okay?
00:50:33So...
00:50:36Gamma
00:50:3912,
00:50:42which is 2.
00:50:4514 times 1
00:50:48plus
00:50:5112 times minus 1.
00:50:54Yeah, it works.
00:50:57Okay?
00:51:00So this remainder term, okay?
00:51:03It should be
00:51:06between 1
00:51:09and the base.
00:51:12It could be 12. Okay? Yeah.
00:51:15So that's the rule.
00:51:18Then it works. Okay?
00:51:21K, it can be 0.
00:51:24Okay? Any non-negative integer, okay?
00:51:27Yeah. Then it works. Okay.
00:51:30New rule there. Good.
00:51:33Some more? Sure.
00:51:36Let's go to argument 15, page 12. Okay? Yeah.
00:51:39We are learning more about
00:51:42this brand new found algorithm. Okay?
00:51:45Yeah.
00:51:48It works like magic.
00:51:51Okay?
00:51:54Yeah, 15 is equal to
00:51:5712 times...
00:52:0012 plus 3. So 3x
00:52:03is equal to 12k
00:52:16plus minus 3, I guess.
00:52:30Sure.
00:52:39Yeah, x is equal to 1,
00:52:42k is 0,
00:52:45and we adopt plus 3. Okay?
00:52:56Okay?
00:52:59Let's do one more, okay? Yeah.
00:53:0218.
00:53:20Gamma, 18, 12.
00:53:23Yeah,
00:53:266x.
00:53:32Okay?
00:53:3518 is equal to
00:53:3812 plus 6.
00:53:41So,
00:53:446k,
00:53:516x is equal to
00:53:5612k.
00:54:02Okay.
00:54:11Plus minus 6.
00:54:27Okay.
00:54:32Okay, good.
00:54:38Just one more, okay? Yeah.
00:54:57Gamma, 16 and...
00:55:03Sure.
00:55:0616 and 12.
00:55:09GCV, 4.
00:55:15Okay, 16 is equal to
00:55:1812 plus 4.
00:55:21So, 4x
00:55:24is equal to
00:55:2712k plus minus
00:55:454.
00:55:55Okay.
00:56:07It is kind of confusing. Yeah.
00:56:18So, we need to formalize this algorithm, okay?
00:56:21So,
00:56:28one more.
00:56:31Gamma,
00:56:3417, 12.
00:56:37Yeah, coprime pair, okay?
00:56:4317 is equal to
00:56:4612 plus 5.
00:56:49So, 5x is equal to
00:56:5212k plus minus 1.
00:56:55Okay?
00:57:00x is 5
00:57:05and k is equal to 2
00:57:08and we don't adopt plus 1, okay?
00:57:11So,
00:57:1785
00:57:23minus 7.
00:57:26Okay?
00:57:29So,
00:57:32this one is GCD
00:57:35that we call gamma, okay?
00:57:41Well, 5, that's like
00:57:44argument minus space.
00:57:51Okay?
00:57:54x
00:57:59principal left
00:58:04coefficient, okay?
00:58:08Yeah.
00:58:16Yeah.
00:58:19We did a lot.
00:58:22I think it's time to decide this, okay?
00:58:25So, let's do time check.
00:58:30It's been less than one hour
00:58:33by one minute, okay?
00:58:36Okay. Let's take five minutes break, okay?
00:58:38And then we'll wrap it up real soon and then we'll go to the interview.
00:58:41Okay?
00:58:43After this time.
00:58:45Okay. Five minutes break. Thank you.
00:58:47Okay.
00:58:57There we go. Five minutes. Thank you.
00:59:00Oh, yeah.
00:59:06Okay.
00:59:36Okay.
01:00:06Okay.
01:00:36Okay.
01:01:06Okay.
01:01:37Okay.
01:01:50Okay.
01:01:53Yesterday, I was a little bit alarmed,
01:01:56not scared but alarmed that
01:01:59oh, I thought like
01:02:02this
01:02:05when the two inputs to gamma function is when they are co-primes but today we
01:02:14learned that this algorithm works even when the two inputs are non-co-primes
01:02:20it works in all cases yeah so God thank you for showing grace to us okay this is
01:02:28good it's very good because we don't need two algorithm we just need one
01:02:34like it was in all cases
01:02:38fantastic yeah
01:02:43that's nice
01:02:49let's celebrate okay yeah dragon drink
01:03:04it's
01:03:07look at the Alaskans in the embark but go get one of my favorite all the time
01:03:14it's just amazing the very best medicinal food okay yes
01:03:30very strong plant
01:03:34you
01:03:39Cheers
01:03:43hmm now let's have a word for mathematician yeah tomorrow what we're
01:03:49gonna do would be to formalize this algorithm okay and after that we need to
01:03:58express this algorithm as a mathematical formula
01:04:05yes kind of come to program it kind of okay yeah but Euclid the algorithm
01:04:13there was
01:04:16Euclid his time is like um after Plato is like 200 BC 300 pieces something
01:04:25Plato I guess like 500 pieces on that right yeah okay so uh yeah so Euclidean
01:04:33algorithm more than a 2,000 years ago yeah way before computers maybe for
01:04:38console program days okay so then what is a mathematical algorithm it's a
01:04:44procedural steps with rules okay which can be expressed and in
01:04:52computer-prone language these days okay well back in the days they describe in
01:04:59plain vanilla Greek because Euclid was Greek, Greek person okay yeah it's just
01:05:08describing plain vanilla English or whatever language the rules steps
01:05:13procedure okay nowadays yeah it can be expressed in computer-prone language too
01:05:22okay Cheers
01:05:29hmm fantastic okay let's wrap up this episode and then just let me digitize
01:05:38this episode and then we will do some like okay yeah fantastic progress here
01:05:43I'm very happy that we just need one algorithm that and it works for every
01:05:47single case with two inputs, co-prime or non-co-primes. I was a little bit
01:05:54concerned because if we need to find if there's another algorithm if this
01:06:01algorithm only works for co-primes and we need to find another algorithm that
01:06:06works for non-co-primes, that complicates things. Because we need to determine two
01:06:15inputs whether they're co-primes or non-co-primes and that's not an easy
01:06:21thing because the world of prime numbers is still a mystery
01:06:28okay to determine two numbers are co-primes or not that's not an easy
01:06:35thing okay but today very good news this algorithm works for all cases so we do
01:06:46not need to determine these two inputs to get my function whether they are
01:06:51co-prime or non-co-prime we don't need to know that because this algorithm works
01:06:56for both cases yeah God thank you friends thank you yeah so today's a very
01:07:04good day okay yeah Cheers yeah
01:07:11okay we'll take five to ten minutes break and then we go to Instagram okay
01:07:16okay thank you happy Wednesday happy Thursday yeah
01:07:22very good day yeah thank you martial arts education continuing education
01:07:29continuing career development okay yeah exercise martial arts okay thank you