ViewTube

ViewTube
Sign inSign upSubscriptions
Filters

Upload date

Type

Duration

Sort by

Features

Reset

9 results

Joel Taylor
Third Approximation of e Via LambdaLingo

Lambda calculus implementation of the taylor series of e (=2.718...) to the third approximation. The function is: e = (λn.n(λp.p(λk.

0:11
Third Approximation of e Via LambdaLingo

0 views

11 hours ago

Joel Taylor
Second Approximation of e Via LambdaLingo

Lambda calculus implementation of the taylor series of e (=2.718...) to the second approximation. The function is: e = (λn.n(λp.p(λk ...

0:06
Second Approximation of e Via LambdaLingo

0 views

11 hours ago

Joel Taylor
Fourth Approximation of e Via LambdaLingo

Lambda calculus implementation of the taylor series of e (=2.718...) to the fourth approximation. The function is: e = (λn.n(λp.p(λk.

0:16
Fourth Approximation of e Via LambdaLingo

0 views

11 hours ago

Joel Taylor
Fifth Approximation of e Via LambdaLingo

Lambda calculus implementation of the taylor series of e (=2.718...) to the fifth approximation. The function is: e = (λn.n(λp.p(λk.λN.

0:52
Fifth Approximation of e Via LambdaLingo

0 views

11 hours ago

Joel Taylor
Sixth Approximation of e Via LambdaLingo

Lambda calculus implementation of the taylor series of e (=2.718...) to the sixth approximation. The function is: e = (λn.n(λp.p(λk.

1:59
Sixth Approximation of e Via LambdaLingo

0 views

11 hours ago

Joel Taylor
First Approximation of e Via LambdaLingo

Lambda calculus implementation of the taylor series of e (=2.718...) to the first approximation. The function is: e = (λn.n(λp.p(λk.λN.

0:03
First Approximation of e Via LambdaLingo

0 views

11 hours ago

Curt Jaimungal
The Scientist Who Says There Is No Theory of Everything

Let AI do the note-taking. Visit https://plaud.ai/toe and use code TOE for 10% off at checkout. This is an interview with Stuart ...

1:27:02
The Scientist Who Says There Is No Theory of Everything

4,172 views

9 hours ago

math help
distance (S.D) r̄ = î + 2 ĵ − 4 k̂ +λ(4 î+6 ĵ+12 k̂) and r̄ = 3 î + 3 ĵ−5 k̂ + μ (6 î + 9 ĵ + 18 k̂)

Find the shortest distance between the lines l₁ and l₂ given by r̄ = î + 2 ĵ − 4 k̂ + λ (4 î + 6 ĵ + 12 k̂) and r̄ = 3 î + 3 ĵ − 5 k̂ ...

3:18
distance (S.D) r̄ = î + 2 ĵ − 4 k̂ +λ(4 î+6 ĵ+12 k̂) and r̄ = 3 î + 3 ĵ−5 k̂ + μ (6 î + 9 ĵ + 18 k̂)

0 views

19 hours ago

Civil Gyan Center
Delay and Queue Analysis || Probability of Vehicle Arrival by Poission's Distribution Function

Welcome back to CIVIL GYAN CENTER! In today's session, we dive deep into one of the most scoring and conceptually rich topics ...

8:40
Delay and Queue Analysis || Probability of Vehicle Arrival by Poission's Distribution Function

0 views

12 hours ago