A cleaner is a person who "cleans up" after crimes to physically erase their trace, or uses pressure or bribes to limit fallout from a criminal act. A fixer plays a similar but often less hands-on role, often minimizing bad publicity for public officials or media figures by quelling stories of their misadventures, but is also capable of heavier-handed tactics as necessary.
A cleaner may destroy or remove incriminating evidence at the scene of a crime. A popular figure in crime fiction, a cleaner may also be a contract killer who commits murder to "clean up" a situation.
Cleaner is also a slang term for someone, usually a member of a crime organization or a covert government agency, who disposes of a corpse after a hit.
Legal crime scene cleanup is a legitimate industry, eliminating blood and other biohazardous materials such as dangerous chemicals used in an illegal drug lab as permitted by responsible authorities.
In graph theory, a flow network (also known as a transportation network) is a directed graph where each edge has a capacity and each edge receives a flow. The amount of flow on an edge cannot exceed the capacity of the edge. Often in operations research, a directed graph is called a network. The vertices are called nodes and the edges are called arcs. A flow must satisfy the restriction that the amount of flow into a node equals the amount of flow out of it, unless it is a source, which has only outgoing flow, or sink, which has only incoming flow. A network can be used to model traffic in a road system, circulation with demands, fluids in pipes, currents in an electrical circuit, or anything similar in which something travels through a network of nodes.
Definition
Let be a finite directed graph in
which every edge has a non-negative, real-valued capacity . If , we assume that . We distinguish two vertices: a source s and a sink t. A flow in a flow network is a realfunction with the following three properties for all nodes u and v:
Network Ten (commonly known as Channel Ten or simply Ten, stylised as TEN), is an Australian commercial broadcasting network owned by Ten Network Holdings, and is headquartered in Pyrmont, New South Wales. It is the third Australian free-to-airtelevision network to make its debut after Nine Network in 1956 and Seven Network in 1956. It first aired on August 1, 1964 in Melbourne. Network Ten is the fourth of all the five national free-to-air networks in Australia, after the ABC. Its owned-and-operated stations can be found in the capital cities of Sydney, Melbourne, Brisbane, Adelaide and Perth, while affiliates extend the network to cover most of the country. The channel's name became a backronym for "The Entertainment Network" during the early-1990s.
History
Origins
From the introduction of TV in 1956 until 1965 there were only two commercial television networks in Australia, the National Television Network (now the Nine Network) and the Australian Television Network (now the Seven Network), as well as the public Australian Broadcasting Corporation (then Commission). In the early 1960s, the federal government began canvassing the idea of licensing a third commercial television station in each capital city. This decision was seen by some as a way for the government to defuse growing public dissatisfaction with the dominance of imported overseas programming and the paucity of local content. The first of these "third" licences was granted to United Telecasters Sydney was granted on 4 April 1963.
Introduced by IBM in 1984, it was then standardized with protocol IEEE 802.5 and was fairly successful, particularly in corporate environments, but gradually eclipsed by the later versions of Ethernet.
(The main focus of this article is the IBM/IEEE 802.5 version, but there were several other earlier implementations of token rings).
When a comet passed by Earth, it activated a genetic quirk in some people that would manifest into superpowers either naturally or through special Seedlings called Activators. Swift was one such Seedling. Swift was brought into Stormwatch as a rookie, with her powers only partially activated. Weatherman Henry Bendix later reconfigured the Stormwatch teams, assigning her to Stormwatch Black, Stormwatch's black ops team, alongside Jenny Sparks (with whom she had a brief romance) and Jack Hawksmoor. It was then that Christine Trelane offered to fully activate Swift's powers, bringing out their full potential, and she accepted.
After Stormwatch disbanded, Swift joined former teammates in The Authority. Formerly a pacifist, she has put aside those beliefs to fight for a better world regardless of the cost. She has fought all over the world, from Moscow to Mexico to Gamora Island. During the Transfer of Power storyline, Swift was replaced by Rush from Canada after being taken out of a fight by radioactive feces. Swift was brainwashed into becoming the obedient trophy wife of a television mogul who had been part of the conspiracy to replace her and her team. She was insulted at every opportunity, from having her cooking ignored to the implications she could not remember large words. Eventually she overheard the "off-button" code of the monster Three-Willied Seth and proceeded to free herself. She literally took the heads of the television mogul and his software billionaire co-conspirator. She also saved her friend Angela Spica, the Engineer, and killed the man who had been abusing Angela.
Swift crater is a crater on Mars's moonDeimos. It is about 3km (1.9mi) in diameter. Swift crater is named after Jonathan Swift, who predicted the existence of the moons of Mars. Swift crater is one of two named features on Deimos, the other being Voltaire crater. On 10 July 2006, Mars Global Surveyor took an image of Deimos from 22,985km (14,282mi) away showing Swift crater.
Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud061
Georgia Tech online Master's program: https://www.udacity.com/georgia-tech
published: 23 Feb 2015
Ford-Fulkerson in 5 minutes
Step by step instructions showing how to run Ford-Fulkerson on a flow network.
Code: https://github.com/msambol/dsa/blob/master/maximum_flow/ford_fulkerson.py
Source: http://www.win.tue.nl/~nikhil/courses/2WO08/07NetworkFlowI.pdf
LinkedIn: https://www.linkedin.com/in/michael-sambol
published: 08 Jul 2015
Max Flow Ford Fulkerson | Network Flow | Graph Theory
Explanation of how to find the maximum flow with the Ford-Fulkerson method
Next video: https://youtu.be/Xu8jjJnwvxE
Algorithms repository:
https://github.com/williamfiset/algorithms#network-flow
Video slides:
https://github.com/williamfiset/Algorithms/tree/master/slides
0:00 Intro and motivation for maximum flow
2:42 Basics and definitions of network flow concepts
4:26 Augmenting paths, residual edges and the residual graph
8:05 Ford-Fulkerson with DFS example
9:49 Ford-Fulkerson time complexity
11:22 Faster network flow algorithms
======================================
Practicing for interviews? I have used, and recommend `Cracking the Coding Interview` which got me a job at Google. Link on Amazon: https://amzn.to/3cvMof5
A lot of the content on this channel is inspired by the book...
published: 29 Aug 2018
Finding maximum flow through a network
This is an alternative to the minimum cut/maximum flow theorem to find the maximum flow through a network. It seems more intuitive and less error-prone than trying to list all cuts and find the capacity of each one.
Free 5-Day Mini-Course: https://backtobackswe.com
Try Our Full Platform: https://backtobackswe.com/pricing
📹 Intuitive Video Explanations
🏃 Run Code As You Learn
💾 Save Progress
❓New Unseen Questions
🔎 Get All Solutions
Flow Networks: https://en.wikipedia.org/wiki/Flow_network
Ford–Fulkerson Algorithm: https://en.wikipedia.org/wiki/Ford%E2%80%93Fulkerson_algorithm
Max-Flow Min-Cut Theorem: https://en.wikipedia.org/wiki/Max-flow_min-cut_theorem
Proofs: Reference "Algorithm Design" by Jon Kleinberg and Éva Tardos Chapters 7.1, 7.2 for excellent proofs on all of this.
Things I'd Improve On This Explanation (w/ More Time):
1.) I should have done a walk-through showing how the residual graph dictates how the original graph's edge flows (f(e)) are updated each iteration. (That would...
published: 28 Oct 2019
Maximum flow problem - Ford Fulkerson algorithm
To create this video, I used a library for Manim that I have been developing for some months.
https://verdianapasqualini.github.io/GraphLibrary/
The developing of ManimGraphLibrary is part of my master thesis in Mathematics for Data Science @ University of Trento, Italy.
Summer of Math Exposition challenged me to produce a full video, record the voiceover and publish it instead of just working on the library.
published: 19 Aug 2021
#7 Maximal flow problem in Tamil
Design and analysis of alg playlist link:
https://youtube.com/playlist?list=PL1eBtGPYeYXXky8-3Frs02CyD0-Xy359M
published: 28 Nov 2019
DM 01 Max Flow and Min Cut Theorem Transport Network Flow Example Solution
published: 25 Nov 2019
Podcast Case Study: Meet Creators Unstuck | The Flow LIVE
In this week's episode of The Flow, Katie interviews Doc & Marielou about their new podcast, Creators Unstuck. We'll learn more about the show, how they got started, and what they've learned along the way. Join us live to get your questions answered.
You can learn more about Creators Unstuck and follow the show at https://www.youtube.com/@UCXGKRDkjc_O7QH_U2dP_XlA
If you haven't already, please consider signing up for our FREE podcasting course at https://ecamm.ck.page/podcast
Welcome to The Flow. Created by Ecamm and hosted by Doc Rock and Katie Fawkes, this weekly show will take you step-by-step through the process of video podcasting. Our focus is on building efficient and effective workflows so that your content shines.
Join us Tuesdays at 12pm Eastern on YouTube and subscribe and ...
Watch on Udacity: https://www.udacity.com/course/viewer#!/c-ud061/l-3523558599/m-1037198819
Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud061
Georgia Tech online Master's program: https://www.udacity.com/georgia-tech
Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud061
Georgia Tech online Master's program: https://www.udacit...
Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud061
Georgia Tech online Master's program: https://www.udacity.com/georgia-tech
Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud061
Georgia Tech online Master's program: https://www.udacity.com/georgia-tech
Step by step instructions showing how to run Ford-Fulkerson on a flow network.
Code: https://github.com/msambol/dsa/blob/master/maximum_flow/ford_fulkerson.py
...
Step by step instructions showing how to run Ford-Fulkerson on a flow network.
Code: https://github.com/msambol/dsa/blob/master/maximum_flow/ford_fulkerson.py
Source: http://www.win.tue.nl/~nikhil/courses/2WO08/07NetworkFlowI.pdf
LinkedIn: https://www.linkedin.com/in/michael-sambol
Step by step instructions showing how to run Ford-Fulkerson on a flow network.
Code: https://github.com/msambol/dsa/blob/master/maximum_flow/ford_fulkerson.py
Source: http://www.win.tue.nl/~nikhil/courses/2WO08/07NetworkFlowI.pdf
LinkedIn: https://www.linkedin.com/in/michael-sambol
Explanation of how to find the maximum flow with the Ford-Fulkerson method
Next video: https://youtu.be/Xu8jjJnwvxE
Algorithms repository:
https://github.com/...
Explanation of how to find the maximum flow with the Ford-Fulkerson method
Next video: https://youtu.be/Xu8jjJnwvxE
Algorithms repository:
https://github.com/williamfiset/algorithms#network-flow
Video slides:
https://github.com/williamfiset/Algorithms/tree/master/slides
0:00 Intro and motivation for maximum flow
2:42 Basics and definitions of network flow concepts
4:26 Augmenting paths, residual edges and the residual graph
8:05 Ford-Fulkerson with DFS example
9:49 Ford-Fulkerson time complexity
11:22 Faster network flow algorithms
======================================
Practicing for interviews? I have used, and recommend `Cracking the Coding Interview` which got me a job at Google. Link on Amazon: https://amzn.to/3cvMof5
A lot of the content on this channel is inspired by the book `Competitive Programming` by Steven Halim which I frequently use as a resource and reference. Link on Amazon: https://amzn.to/3wC2nix
Support me by purchasing the full graph theory course on Udemy which includes additional problems, exercises and quizzes not available on YouTube:
https://www.udemy.com/course/graph-theory-algorithms
Explanation of how to find the maximum flow with the Ford-Fulkerson method
Next video: https://youtu.be/Xu8jjJnwvxE
Algorithms repository:
https://github.com/williamfiset/algorithms#network-flow
Video slides:
https://github.com/williamfiset/Algorithms/tree/master/slides
0:00 Intro and motivation for maximum flow
2:42 Basics and definitions of network flow concepts
4:26 Augmenting paths, residual edges and the residual graph
8:05 Ford-Fulkerson with DFS example
9:49 Ford-Fulkerson time complexity
11:22 Faster network flow algorithms
======================================
Practicing for interviews? I have used, and recommend `Cracking the Coding Interview` which got me a job at Google. Link on Amazon: https://amzn.to/3cvMof5
A lot of the content on this channel is inspired by the book `Competitive Programming` by Steven Halim which I frequently use as a resource and reference. Link on Amazon: https://amzn.to/3wC2nix
Support me by purchasing the full graph theory course on Udemy which includes additional problems, exercises and quizzes not available on YouTube:
https://www.udemy.com/course/graph-theory-algorithms
This is an alternative to the minimum cut/maximum flow theorem to find the maximum flow through a network. It seems more intuitive and less error-prone than try...
This is an alternative to the minimum cut/maximum flow theorem to find the maximum flow through a network. It seems more intuitive and less error-prone than trying to list all cuts and find the capacity of each one.
This is an alternative to the minimum cut/maximum flow theorem to find the maximum flow through a network. It seems more intuitive and less error-prone than trying to list all cuts and find the capacity of each one.
Free 5-Day Mini-Course: https://backtobackswe.com
Try Our Full Platform: https://backtobackswe.com/pricing
📹 Intuitive Video Explanations
🏃 Run Code As You ...
Free 5-Day Mini-Course: https://backtobackswe.com
Try Our Full Platform: https://backtobackswe.com/pricing
📹 Intuitive Video Explanations
🏃 Run Code As You Learn
💾 Save Progress
❓New Unseen Questions
🔎 Get All Solutions
Flow Networks: https://en.wikipedia.org/wiki/Flow_network
Ford–Fulkerson Algorithm: https://en.wikipedia.org/wiki/Ford%E2%80%93Fulkerson_algorithm
Max-Flow Min-Cut Theorem: https://en.wikipedia.org/wiki/Max-flow_min-cut_theorem
Proofs: Reference "Algorithm Design" by Jon Kleinberg and Éva Tardos Chapters 7.1, 7.2 for excellent proofs on all of this.
Things I'd Improve On This Explanation (w/ More Time):
1.) I should have done a walk-through showing how the residual graph dictates how the original graph's edge flows (f(e)) are updated each iteration. (That would've made it more clear how the residual graph in the Ford-Fulkerson algorithm tells us how to update the flow on each edge (f(e)) in the original graph along the s-t path P, THEN we update the residual graph (also along P) to prepare for the next iteration.)
2.) Go into the actual augmentation once we find an s-t path P in the residual graph. We can only modulate the flow f(e) for each edge in the original graph on path P ± the smallest value residual graph edge on path P. The smallest forward edge on path P in the residual graph is the "bottleneck" to how much we can increase flow along the path P in the original graph. (hard to visualize...the textbook may have to take it away with this one, but when you understand this you'll really get it after watching this video)
I also didn't talk about time complexity, but the amount of while loop iterations is bounded to the capacity coming out of start node 's'. We can't ever push more flow from 's' than the sum of capacities of those exiting edges. If each interaction increases the value of the flow v(f) by 1 (and v(f) starts at 0 in the beginning since no "water" is going through the "pipes"), we can do at most C augmentations of the flow network where C = sum(edge capacities leaving 's').
In each while loop:
- O(|V| + |E|) to find the augmenting path
- O(|E|) to update the flows in the original graph
- O(|E|) to update the residual graph
So total runtime can be bounded to O(C * (|V| + |E|)).
#backtobackswe #benyamephrem
Free 5-Day Mini-Course: https://backtobackswe.com
Try Our Full Platform: https://backtobackswe.com/pricing
📹 Intuitive Video Explanations
🏃 Run Code As You Learn
💾 Save Progress
❓New Unseen Questions
🔎 Get All Solutions
Flow Networks: https://en.wikipedia.org/wiki/Flow_network
Ford–Fulkerson Algorithm: https://en.wikipedia.org/wiki/Ford%E2%80%93Fulkerson_algorithm
Max-Flow Min-Cut Theorem: https://en.wikipedia.org/wiki/Max-flow_min-cut_theorem
Proofs: Reference "Algorithm Design" by Jon Kleinberg and Éva Tardos Chapters 7.1, 7.2 for excellent proofs on all of this.
Things I'd Improve On This Explanation (w/ More Time):
1.) I should have done a walk-through showing how the residual graph dictates how the original graph's edge flows (f(e)) are updated each iteration. (That would've made it more clear how the residual graph in the Ford-Fulkerson algorithm tells us how to update the flow on each edge (f(e)) in the original graph along the s-t path P, THEN we update the residual graph (also along P) to prepare for the next iteration.)
2.) Go into the actual augmentation once we find an s-t path P in the residual graph. We can only modulate the flow f(e) for each edge in the original graph on path P ± the smallest value residual graph edge on path P. The smallest forward edge on path P in the residual graph is the "bottleneck" to how much we can increase flow along the path P in the original graph. (hard to visualize...the textbook may have to take it away with this one, but when you understand this you'll really get it after watching this video)
I also didn't talk about time complexity, but the amount of while loop iterations is bounded to the capacity coming out of start node 's'. We can't ever push more flow from 's' than the sum of capacities of those exiting edges. If each interaction increases the value of the flow v(f) by 1 (and v(f) starts at 0 in the beginning since no "water" is going through the "pipes"), we can do at most C augmentations of the flow network where C = sum(edge capacities leaving 's').
In each while loop:
- O(|V| + |E|) to find the augmenting path
- O(|E|) to update the flows in the original graph
- O(|E|) to update the residual graph
So total runtime can be bounded to O(C * (|V| + |E|)).
#backtobackswe #benyamephrem
To create this video, I used a library for Manim that I have been developing for some months.
https://verdianapasqualini.github.io/GraphLibrary/
The developing ...
To create this video, I used a library for Manim that I have been developing for some months.
https://verdianapasqualini.github.io/GraphLibrary/
The developing of ManimGraphLibrary is part of my master thesis in Mathematics for Data Science @ University of Trento, Italy.
Summer of Math Exposition challenged me to produce a full video, record the voiceover and publish it instead of just working on the library.
To create this video, I used a library for Manim that I have been developing for some months.
https://verdianapasqualini.github.io/GraphLibrary/
The developing of ManimGraphLibrary is part of my master thesis in Mathematics for Data Science @ University of Trento, Italy.
Summer of Math Exposition challenged me to produce a full video, record the voiceover and publish it instead of just working on the library.
In this week's episode of The Flow, Katie interviews Doc & Marielou about their new podcast, Creators Unstuck. We'll learn more about the show, how they got sta...
In this week's episode of The Flow, Katie interviews Doc & Marielou about their new podcast, Creators Unstuck. We'll learn more about the show, how they got started, and what they've learned along the way. Join us live to get your questions answered.
You can learn more about Creators Unstuck and follow the show at https://www.youtube.com/@UCXGKRDkjc_O7QH_U2dP_XlA
If you haven't already, please consider signing up for our FREE podcasting course at https://ecamm.ck.page/podcast
Welcome to The Flow. Created by Ecamm and hosted by Doc Rock and Katie Fawkes, this weekly show will take you step-by-step through the process of video podcasting. Our focus is on building efficient and effective workflows so that your content shines.
Join us Tuesdays at 12pm Eastern on YouTube and subscribe and listen on your favorite podcast platform. Audio only podcast episodes drop a week after the live video streams.
LINKS
Episodes & show notes at https://flow.ecamm.com
Freebies at https://ecamm.tv/flowfreebies
Try Ecamm at https://www.ecamm.com
Try Descript at https://www.descript.com
Try Captivate at https://captivate.fm
Try Speedify at https://www.speedify.com
#videopodcasting #videopodcast #theflowecamm
In this week's episode of The Flow, Katie interviews Doc & Marielou about their new podcast, Creators Unstuck. We'll learn more about the show, how they got started, and what they've learned along the way. Join us live to get your questions answered.
You can learn more about Creators Unstuck and follow the show at https://www.youtube.com/@UCXGKRDkjc_O7QH_U2dP_XlA
If you haven't already, please consider signing up for our FREE podcasting course at https://ecamm.ck.page/podcast
Welcome to The Flow. Created by Ecamm and hosted by Doc Rock and Katie Fawkes, this weekly show will take you step-by-step through the process of video podcasting. Our focus is on building efficient and effective workflows so that your content shines.
Join us Tuesdays at 12pm Eastern on YouTube and subscribe and listen on your favorite podcast platform. Audio only podcast episodes drop a week after the live video streams.
LINKS
Episodes & show notes at https://flow.ecamm.com
Freebies at https://ecamm.tv/flowfreebies
Try Ecamm at https://www.ecamm.com
Try Descript at https://www.descript.com
Try Captivate at https://captivate.fm
Try Speedify at https://www.speedify.com
#videopodcasting #videopodcast #theflowecamm
Watch on Udacity: https://www.udacity.com/course/viewer#!/c-ud061/l-3523558599/m-1037198819
Check out the full Advanced Operating Systems course for free at: ht...
Watch on Udacity: https://www.udacity.com/course/viewer#!/c-ud061/l-3523558599/m-1037198819
Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud061
Georgia Tech online Master's program: https://www.udacity.com/georgia-tech
Watch on Udacity: https://www.udacity.com/course/viewer#!/c-ud061/l-3523558599/m-1037198819
Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud061
Georgia Tech online Master's program: https://www.udacity.com/georgia-tech
Network 10 Productions Updated Logo History | Evologo [Evolution of Logo]
Watch Network 10 Productions Updated Logo History now on Evologo, Evolution of Logo by McRizzwan!
---
Playlist: https://www.youtube.com/playlist?list=PL5OE3k22iqlmaZAIbspFUWS9DQJDf6_zh
---
Watch Evologo, the Evolution of Logo, every Thursdays @10.00am, Saturdays @10.00am and Sundays @04.00am (UTC), on McRizzwan!
Credit to these people who have found these logo finds, which helped me make this video.
This video shows content that is not owned by us. All the rights goes to the original designers and owners of the content shown in this video. This is being uploaded for preservation and entertainment purposes only. Under the Copyright Law article "Fair Use".
(C) 2018 a McRizzwan production
published: 15 Dec 2018
Network TEN Australia Ident Mashup 1985-1992
A mashup of Network Ten idents between 1985 and 1992, in no particular order.
This is Australia's third commercial free-to-air television network. It has struggled to maintain market share for decades, with various changes of ownership. It is now owned by America's CBS.
See more, including classic commercials aired on Australian TV at
https://www.stv-archive.org
published: 23 Feb 2021
Channel Ten Movie intro 2005
A relic of the past. Australian tv networks used to introduce primetime movies with these intros. Airdate January 5 2005
published: 29 Nov 2011
FremantleMedia Australia/Network Ten (2006/07) Logo
The Ten-T Network: The Incredible Vision to Connect All of Europe
Got a beard? Good. I've got something for you: http://beardblaze.com
Simon's Social Media:
Twitter: https://twitter.com/SimonWhistler
Instagram: https://www.instagram.com/simonwhistler/
Love content? Check out Simon's other YouTube Channels:
Biographics: https://www.youtube.com/channel/UClnDI2sdehVm1zm_LmUHsjQ
Geographics: https://www.youtube.com/channel/UCHKRfxkMTqiiv4pF99qGKIw
Warographics: https://www.youtube.com/channel/UC9h8BDcXwkhZtnqoQJ7PggA
SideProjects: https://www.youtube.com/channel/UC3Wn3dABlgESm8Bzn8Vamgg
Into The Shadows: https://www.youtube.com/c/IntotheShadows
TopTenz: https://www.youtube.com/user/toptenznet
Today I Found Out: https://www.youtube.com/user/TodayIFoundOut
Highlight History: https://www.youtube.com/channel/UCnb-VTwBHEV3gtiB9di9DZQ
Business Blaze: https://ww...
published: 09 Jan 2023
10 Things Justice Lee got wrong in Bruce Lehrmann v Network Ten case
10 Things Justice Lee got wrong in Bruce Lehrmann v Network Ten case
Here are ten things that Court Watch Australia thinks Justice Lee got wrong in the Lehrmann v Network Ten defamation case.
It involved that accusations by Brittany Higgins and relates to claims she made on The Project (Channel Ten).
What do you think of Justice Lee's decision ? Do you have any comments or criticisms, you may take issue with some of the point I made, i would like to hear your opinion/reasons, please have your say in the comments section, Thankyou
Linda reynolds is currently suing Brittany Higgins and her partner David Sharaz for defamation (in the Supreme Court of Western Australia ) but there is no livestream of that case
#CourtWatch #CourtWatchAustralia
episode 20 of Court Watch Australia
published: 04 Aug 2024
Ten Network Australia TV Ident 1992
Some of the videos on this channel have been generously restored by www.thinkframe.media The Ten Network Australia assembled a revamped image and programming strategy in January 1991. The 10 TV Australia logo was gone and replaced with a shiny new logo and tagline — ‘The Entertainment Network’. The new image sought to reposition Ten as a brand for the under-40 age group.
See more, including classic TV commercials that aired in Australia at
https://www.stv-archive.org
Big thanks to the following...
SydneyCityTV Videos
https://www.youtube.com/user/SydneyCityTVideos
zampakid
https://www.youtube.com/user/zampakid/videos
Anthony...
Watch Network 10 Productions Updated Logo History now on Evologo, Evolution of Logo by McRizzwan!
---
Playlist: https://www.youtube.com/playlist?list=PL5OE3k2...
Watch Network 10 Productions Updated Logo History now on Evologo, Evolution of Logo by McRizzwan!
---
Playlist: https://www.youtube.com/playlist?list=PL5OE3k22iqlmaZAIbspFUWS9DQJDf6_zh
---
Watch Evologo, the Evolution of Logo, every Thursdays @10.00am, Saturdays @10.00am and Sundays @04.00am (UTC), on McRizzwan!
Credit to these people who have found these logo finds, which helped me make this video.
This video shows content that is not owned by us. All the rights goes to the original designers and owners of the content shown in this video. This is being uploaded for preservation and entertainment purposes only. Under the Copyright Law article "Fair Use".
(C) 2018 a McRizzwan production
Watch Network 10 Productions Updated Logo History now on Evologo, Evolution of Logo by McRizzwan!
---
Playlist: https://www.youtube.com/playlist?list=PL5OE3k22iqlmaZAIbspFUWS9DQJDf6_zh
---
Watch Evologo, the Evolution of Logo, every Thursdays @10.00am, Saturdays @10.00am and Sundays @04.00am (UTC), on McRizzwan!
Credit to these people who have found these logo finds, which helped me make this video.
This video shows content that is not owned by us. All the rights goes to the original designers and owners of the content shown in this video. This is being uploaded for preservation and entertainment purposes only. Under the Copyright Law article "Fair Use".
(C) 2018 a McRizzwan production
A mashup of Network Ten idents between 1985 and 1992, in no particular order.
This is Australia's third commercial free-to-air television network. It has strug...
A mashup of Network Ten idents between 1985 and 1992, in no particular order.
This is Australia's third commercial free-to-air television network. It has struggled to maintain market share for decades, with various changes of ownership. It is now owned by America's CBS.
See more, including classic commercials aired on Australian TV at
https://www.stv-archive.org
A mashup of Network Ten idents between 1985 and 1992, in no particular order.
This is Australia's third commercial free-to-air television network. It has struggled to maintain market share for decades, with various changes of ownership. It is now owned by America's CBS.
See more, including classic commercials aired on Australian TV at
https://www.stv-archive.org
Got a beard? Good. I've got something for you: http://beardblaze.com
Simon's Social Media:
Twitter: https://twitter.com/SimonWhistler
Instagram: https://www.in...
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Decoding the Unknown: https://www.youtube.com/channel/UCZdWrz8pF6B5Y_c6Zi6pmdQ
Got a beard? Good. I've got something for you: http://beardblaze.com
Simon's Social Media:
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Love content? Check out Simon's other YouTube Channels:
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Geographics: https://www.youtube.com/channel/UCHKRfxkMTqiiv4pF99qGKIw
Warographics: https://www.youtube.com/channel/UC9h8BDcXwkhZtnqoQJ7PggA
SideProjects: https://www.youtube.com/channel/UC3Wn3dABlgESm8Bzn8Vamgg
Into The Shadows: https://www.youtube.com/c/IntotheShadows
TopTenz: https://www.youtube.com/user/toptenznet
Today I Found Out: https://www.youtube.com/user/TodayIFoundOut
Highlight History: https://www.youtube.com/channel/UCnb-VTwBHEV3gtiB9di9DZQ
Business Blaze: https://www.youtube.com/channel/UCYY5GWf7MHFJ6DZeHreoXgw
Casual Criminalist: https://www.youtube.com/c/TheCasualCriminalist
Decoding the Unknown: https://www.youtube.com/channel/UCZdWrz8pF6B5Y_c6Zi6pmdQ
10 Things Justice Lee got wrong in Bruce Lehrmann v Network Ten case
Here are ten things that Court Watch Australia thinks Justice Lee got wrong in the Lehrman...
10 Things Justice Lee got wrong in Bruce Lehrmann v Network Ten case
Here are ten things that Court Watch Australia thinks Justice Lee got wrong in the Lehrmann v Network Ten defamation case.
It involved that accusations by Brittany Higgins and relates to claims she made on The Project (Channel Ten).
What do you think of Justice Lee's decision ? Do you have any comments or criticisms, you may take issue with some of the point I made, i would like to hear your opinion/reasons, please have your say in the comments section, Thankyou
Linda reynolds is currently suing Brittany Higgins and her partner David Sharaz for defamation (in the Supreme Court of Western Australia ) but there is no livestream of that case
#CourtWatch #CourtWatchAustralia
episode 20 of Court Watch Australia
10 Things Justice Lee got wrong in Bruce Lehrmann v Network Ten case
Here are ten things that Court Watch Australia thinks Justice Lee got wrong in the Lehrmann v Network Ten defamation case.
It involved that accusations by Brittany Higgins and relates to claims she made on The Project (Channel Ten).
What do you think of Justice Lee's decision ? Do you have any comments or criticisms, you may take issue with some of the point I made, i would like to hear your opinion/reasons, please have your say in the comments section, Thankyou
Linda reynolds is currently suing Brittany Higgins and her partner David Sharaz for defamation (in the Supreme Court of Western Australia ) but there is no livestream of that case
#CourtWatch #CourtWatchAustralia
episode 20 of Court Watch Australia
Some of the videos on this channel have been generously restored by www.thinkframe.media The Ten Network Australia assembled a revamped image and programming st...
Some of the videos on this channel have been generously restored by www.thinkframe.media The Ten Network Australia assembled a revamped image and programming strategy in January 1991. The 10 TV Australia logo was gone and replaced with a shiny new logo and tagline — ‘The Entertainment Network’. The new image sought to reposition Ten as a brand for the under-40 age group.
See more, including classic TV commercials that aired in Australia at
https://www.stv-archive.org
Some of the videos on this channel have been generously restored by www.thinkframe.media The Ten Network Australia assembled a revamped image and programming strategy in January 1991. The 10 TV Australia logo was gone and replaced with a shiny new logo and tagline — ‘The Entertainment Network’. The new image sought to reposition Ten as a brand for the under-40 age group.
See more, including classic TV commercials that aired in Australia at
https://www.stv-archive.org
Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud061
Georgia Tech online Master's program: https://www.udacity.com/georgia-tech
Step by step instructions showing how to run Ford-Fulkerson on a flow network.
Code: https://github.com/msambol/dsa/blob/master/maximum_flow/ford_fulkerson.py
Source: http://www.win.tue.nl/~nikhil/courses/2WO08/07NetworkFlowI.pdf
LinkedIn: https://www.linkedin.com/in/michael-sambol
Explanation of how to find the maximum flow with the Ford-Fulkerson method
Next video: https://youtu.be/Xu8jjJnwvxE
Algorithms repository:
https://github.com/williamfiset/algorithms#network-flow
Video slides:
https://github.com/williamfiset/Algorithms/tree/master/slides
0:00 Intro and motivation for maximum flow
2:42 Basics and definitions of network flow concepts
4:26 Augmenting paths, residual edges and the residual graph
8:05 Ford-Fulkerson with DFS example
9:49 Ford-Fulkerson time complexity
11:22 Faster network flow algorithms
======================================
Practicing for interviews? I have used, and recommend `Cracking the Coding Interview` which got me a job at Google. Link on Amazon: https://amzn.to/3cvMof5
A lot of the content on this channel is inspired by the book `Competitive Programming` by Steven Halim which I frequently use as a resource and reference. Link on Amazon: https://amzn.to/3wC2nix
Support me by purchasing the full graph theory course on Udemy which includes additional problems, exercises and quizzes not available on YouTube:
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This is an alternative to the minimum cut/maximum flow theorem to find the maximum flow through a network. It seems more intuitive and less error-prone than trying to list all cuts and find the capacity of each one.
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Flow Networks: https://en.wikipedia.org/wiki/Flow_network
Ford–Fulkerson Algorithm: https://en.wikipedia.org/wiki/Ford%E2%80%93Fulkerson_algorithm
Max-Flow Min-Cut Theorem: https://en.wikipedia.org/wiki/Max-flow_min-cut_theorem
Proofs: Reference "Algorithm Design" by Jon Kleinberg and Éva Tardos Chapters 7.1, 7.2 for excellent proofs on all of this.
Things I'd Improve On This Explanation (w/ More Time):
1.) I should have done a walk-through showing how the residual graph dictates how the original graph's edge flows (f(e)) are updated each iteration. (That would've made it more clear how the residual graph in the Ford-Fulkerson algorithm tells us how to update the flow on each edge (f(e)) in the original graph along the s-t path P, THEN we update the residual graph (also along P) to prepare for the next iteration.)
2.) Go into the actual augmentation once we find an s-t path P in the residual graph. We can only modulate the flow f(e) for each edge in the original graph on path P ± the smallest value residual graph edge on path P. The smallest forward edge on path P in the residual graph is the "bottleneck" to how much we can increase flow along the path P in the original graph. (hard to visualize...the textbook may have to take it away with this one, but when you understand this you'll really get it after watching this video)
I also didn't talk about time complexity, but the amount of while loop iterations is bounded to the capacity coming out of start node 's'. We can't ever push more flow from 's' than the sum of capacities of those exiting edges. If each interaction increases the value of the flow v(f) by 1 (and v(f) starts at 0 in the beginning since no "water" is going through the "pipes"), we can do at most C augmentations of the flow network where C = sum(edge capacities leaving 's').
In each while loop:
- O(|V| + |E|) to find the augmenting path
- O(|E|) to update the flows in the original graph
- O(|E|) to update the residual graph
So total runtime can be bounded to O(C * (|V| + |E|)).
#backtobackswe #benyamephrem
To create this video, I used a library for Manim that I have been developing for some months.
https://verdianapasqualini.github.io/GraphLibrary/
The developing of ManimGraphLibrary is part of my master thesis in Mathematics for Data Science @ University of Trento, Italy.
Summer of Math Exposition challenged me to produce a full video, record the voiceover and publish it instead of just working on the library.
In this week's episode of The Flow, Katie interviews Doc & Marielou about their new podcast, Creators Unstuck. We'll learn more about the show, how they got started, and what they've learned along the way. Join us live to get your questions answered.
You can learn more about Creators Unstuck and follow the show at https://www.youtube.com/@UCXGKRDkjc_O7QH_U2dP_XlA
If you haven't already, please consider signing up for our FREE podcasting course at https://ecamm.ck.page/podcast
Welcome to The Flow. Created by Ecamm and hosted by Doc Rock and Katie Fawkes, this weekly show will take you step-by-step through the process of video podcasting. Our focus is on building efficient and effective workflows so that your content shines.
Join us Tuesdays at 12pm Eastern on YouTube and subscribe and listen on your favorite podcast platform. Audio only podcast episodes drop a week after the live video streams.
LINKS
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Freebies at https://ecamm.tv/flowfreebies
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Try Speedify at https://www.speedify.com
#videopodcasting #videopodcast #theflowecamm
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Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud061
Georgia Tech online Master's program: https://www.udacity.com/georgia-tech
A cleaner is a person who "cleans up" after crimes to physically erase their trace, or uses pressure or bribes to limit fallout from a criminal act. A fixer plays a similar but often less hands-on role, often minimizing bad publicity for public officials or media figures by quelling stories of their misadventures, but is also capable of heavier-handed tactics as necessary.
A cleaner may destroy or remove incriminating evidence at the scene of a crime. A popular figure in crime fiction, a cleaner may also be a contract killer who commits murder to "clean up" a situation.
Cleaner is also a slang term for someone, usually a member of a crime organization or a covert government agency, who disposes of a corpse after a hit.
Legal crime scene cleanup is a legitimate industry, eliminating blood and other biohazardous materials such as dangerous chemicals used in an illegal drug lab as permitted by responsible authorities.
Watch Network 10 Productions Updated Logo History now on Evologo, Evolution of Logo by McRizzwan!
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Playlist: https://www.youtube.com/playlist?list=PL5OE3k22iqlmaZAIbspFUWS9DQJDf6_zh
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Watch Evologo, the Evolution of Logo, every Thursdays @10.00am, Saturdays @10.00am and Sundays @04.00am (UTC), on McRizzwan!
Credit to these people who have found these logo finds, which helped me make this video.
This video shows content that is not owned by us. All the rights goes to the original designers and owners of the content shown in this video. This is being uploaded for preservation and entertainment purposes only. Under the Copyright Law article "Fair Use".
(C) 2018 a McRizzwan production
A mashup of Network Ten idents between 1985 and 1992, in no particular order.
This is Australia's third commercial free-to-air television network. It has struggled to maintain market share for decades, with various changes of ownership. It is now owned by America's CBS.
See more, including classic commercials aired on Australian TV at
https://www.stv-archive.org
Got a beard? Good. I've got something for you: http://beardblaze.com
Simon's Social Media:
Twitter: https://twitter.com/SimonWhistler
Instagram: https://www.instagram.com/simonwhistler/
Love content? Check out Simon's other YouTube Channels:
Biographics: https://www.youtube.com/channel/UClnDI2sdehVm1zm_LmUHsjQ
Geographics: https://www.youtube.com/channel/UCHKRfxkMTqiiv4pF99qGKIw
Warographics: https://www.youtube.com/channel/UC9h8BDcXwkhZtnqoQJ7PggA
SideProjects: https://www.youtube.com/channel/UC3Wn3dABlgESm8Bzn8Vamgg
Into The Shadows: https://www.youtube.com/c/IntotheShadows
TopTenz: https://www.youtube.com/user/toptenznet
Today I Found Out: https://www.youtube.com/user/TodayIFoundOut
Highlight History: https://www.youtube.com/channel/UCnb-VTwBHEV3gtiB9di9DZQ
Business Blaze: https://www.youtube.com/channel/UCYY5GWf7MHFJ6DZeHreoXgw
Casual Criminalist: https://www.youtube.com/c/TheCasualCriminalist
Decoding the Unknown: https://www.youtube.com/channel/UCZdWrz8pF6B5Y_c6Zi6pmdQ
10 Things Justice Lee got wrong in Bruce Lehrmann v Network Ten case
Here are ten things that Court Watch Australia thinks Justice Lee got wrong in the Lehrmann v Network Ten defamation case.
It involved that accusations by Brittany Higgins and relates to claims she made on The Project (Channel Ten).
What do you think of Justice Lee's decision ? Do you have any comments or criticisms, you may take issue with some of the point I made, i would like to hear your opinion/reasons, please have your say in the comments section, Thankyou
Linda reynolds is currently suing Brittany Higgins and her partner David Sharaz for defamation (in the Supreme Court of Western Australia ) but there is no livestream of that case
#CourtWatch #CourtWatchAustralia
episode 20 of Court Watch Australia
Some of the videos on this channel have been generously restored by www.thinkframe.media The Ten Network Australia assembled a revamped image and programming strategy in January 1991. The 10 TV Australia logo was gone and replaced with a shiny new logo and tagline — ‘The Entertainment Network’. The new image sought to reposition Ten as a brand for the under-40 age group.
See more, including classic TV commercials that aired in Australia at
https://www.stv-archive.org