"The themes and issues it addresses have never been more relevant ... Travelling Salesman is an essential watch."


"The themes and issues it addresses have never been more relevant ... Travelling Salesman is an essential watch."
"Travelling Salesman’s mathematicians are all too aware of what their work will do to the world, and watching them argue how to handle the consequences offers a thriller far more cerebral than most."
"Simply unbelievably excellent filmmaking. This is a film to seek out."
"A trip to see this movie might become an obligatory part of all math degrees."
New York. Philadelphia. London. Cambridge. Phoenix. Washington D.C. Glasgow. Tel Aviv. Seoul. Hamburg. Hertfordshire. San Francisco. Athens. College Station. Milwaukee. Nanyang. Edinburgh. Ann Arbor.
: Georgie Henley (Lucy), Skandar Keynes (Edmund), Ben Barnes (King Caspian), and Will Poulter (Eustace Scrubb) Box Office : $415.6 million globally The Appeal of Regional Language Dubs
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First, it's crucial to clarify: is universally recognized as "The Chronicles of Narnia: The Voyage of the Dawn Treader." Directed by Michael Apted, this 2010 epic fantasy-adventure film is the third installment in the original film series and serves as a direct sequel to "Prince Caspian."
Edmund and Lucy Pevensie, along with their cousin Eustace Scrubb, return to Narnia. They join King Caspian on a high-seas quest to rescue seven lost lords and save Narnia from an evil green mist. : Georgie Henley (Lucy), Skandar Keynes (Edmund), Ben
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The third installment of The Chronicles of Narnia series, "The Voyage of the Dawn Treader," has garnered mixed reviews from audiences and critics alike. Here's a brief overview of the film:
The P vs. NP problem is the most notorious unsolved problem in computer science. First introduced in 1971, it asks whether one class of problems (NP) is more difficult than another class (P).
Mathematicians group problems into classes based on how long they take to be solved and verified. "NP" is the class of problems whose answer can be verified in a reasonable amount of time. Some NP problems can also be solved quickly. Those problems are said to be in "P", which stands for polynomial time. However, there are other problems in NP which have never been solved in polynomial time.
The question is, is it possible to solve all NP problems as quickly as P problems? To date, no one knows for sure. Some NP questions seem harder than P questions, but they may not be.
Currently, many NP problems take a long time to solve. As such, certain problems like logistics scheduling and protein structure prediction are very difficult. Likewise, many cryptosystems, which are used to secure the world's data, rely on the assumption that they cannot be solved in polynomial time.
If someone were to show that NP problems were not difficult—that P and NP problems were the same—it would would have significant practical consequences. Advances in bioinformatics and theoretical chemistry could be made. Much of modern cryptography would be rendered inert. Financial systems would be exposed, leaving the entire Western economy vulnerable.
Proving that P = NP would have enormous ramifications that would be equally enlightening, devastating, and valuable...
"Mathematical puzzles don't often get to star in feature films, but P vs NP is the subject of an upcoming thriller"
"A movie that features science and technology is always welcome, but is it not often we have one that focuses on computer science. Travelling Salesman is just such a rare movie."
"We all know that the P=NP question is truly fascinating, but now it is about to be released as a movie."
"I speak with Timothy about where he got the idea for the movie, how he made sure that the mathematics was correct, and why science movies just may be the new comic book movies."
"At last someone is taking the position that P = NP is a possibility seriously. If nothing else, the film's brain trust realize that being equal is the cool direction, the direction with the most excitement, the most worthy of a major motion picture."
"Travelling Salesman is an unusual movie: despite almost every character being a mathematician there's not a mad person in sight."