Sentences with phrase «np problems»

But it can take an impracticably long time to solve NP problems, such as finding the shortest route between several cities — though it is easy to show whether a possible solution is correct.

Even harder to solve than NP problems are NP - hard problems, for which finding a polynomial time solution would mean finding a polynomial time solution for all problems in class NP.

Mathematicians have shown that if you could come up with a quick and easy shortcut to solving any one of the hardest type of NP problems, you'd be able to crack them all.

NP problems are much tougher to solve but relatively easy to check once you've reached an answer.

Researchers have wondered since the 1970s whether P = NP, that is, whether there is a hidden order to NP problems that could make them easy to solve.

For better or worse, the new proof seems to show that the NP problems can not be solved as easily as those in the P category.

By contrast, NP problems are those for which a computer can recognize a solution quickly, but may or may not have trouble finding one on its own.

Lipton and others are still trying to understand the details of Deolalikar's proof, but it essentially works by applying a type of P equation to an NP problem, then showing that it won't work for deeply mathematical reasons.

This is known to be an NP problem.

Using stories and examples, Fortnow surveys the P versus NP problem and discusses how computer scientists deal with hard problems.

I have one lender telling me np problem, I have another telling me 2 year waiting period.

Not exact matches

[3] Local office branch managers at Charles Schwab Corporation, for example, call back customers to engage them in a discussion about the feedback they provided through the NPS survey process, solve problems, and learn more so they can coach account representatives.

By paying attention to your company's NPS, you can also spot problems causing major issues that hurt your startup's growth.

There was no problem with separation of church and state when GWB opened the floodgate for federal funding of faith based NPs.

And if someone wants to professionally bring this stuff to the surface, like NP does, I have no problem.

But the problem with NP's article, whether he meant it that way or not is that he seems to be opening up the door to things that the apostles warned against -LCB- paragraphs 4 & 5 -RCB-.

The problem is, Arsenal has become more of a PLC than a FC, and Wenger is part of the problem, as he seems to have a position, which no longer is deserved in a sporting sense (but maybe in a financial), and he is determined to hold onto it, np matter what.

Even if the path they follow is optimal (and the only way to find out is to measure all possible paths), they can not be said to have come up with a general algorithm, a task so complex that it belongs in a class of virtually unsolvable problems called NP - hard.

In a more realistic context, most internet security is built around NP - type problems in which a cryptographic code is easy to check, but hard to crack.

P and NP describe two types of problems that computer scientists come across frequently — for example, in database management or route planning.

Maze navigation can fall into a class of problems known as NP - complete, «which computers have a surprisingly hard time solving, as the effort to solve them goes up exponentially with the scale of the problem,» says chemist Irv Epstein of Brandeis University in Waltham, Massachusetts.

Technically, the Steiner problem is termed an NP - hard problem.

If P = NP, computers may eventually be able to solve a host of complex problems, from protein folding to factorising very large numbers.

Formulated in 1971, P versus NP deals with the relationship between two classes of problems that are encountered by computers.

Some, but not all, NP - hard problems are also in the NP class.

More importantly, the researchers have proved that if there is a kink in the curve, and that the angle between the two portions of the curve is less than 120 degrees, then the problem becomes NP - hard (See Figure).

This made arriving at a solution to P versus NP in 2011, when it will turn a sprightly 40, look premature: just 22 per cent of these other problems were solved before they turned 40.

We also compared P versus NP to 26 other problems that still haven't been solved.

Many of them, such as network problems and packing problems (fitting objects of different shapes into a given space) have components that can be arranged in different ways and that belong to a class called nondeterministic polynomial, or NP, problems.

Such problems can be checked quickly, but if P ≠ NP then there is no computer program that can complete them quickly from scratch.

But a huge sub-class of problems called «NP - complete» would be doomed.

Your article «The hardest problem» (4 June, p 36) made it sound as though proving P = NP would immediately allow us...

The question of whether a jumbled Rubik's cube of any size can be solved in a given number of moves turns out to be NP - complete — that's mathematical lingo for a problem even the pros find hard.

Solutions to NP - complete problems are easy to check, but the amount of time it takes to find them explodes as the complexity goes up, at least with the algorithms we know about today.

Researchers at MIT have shown that finding the shortest solution to a Rubik's cube of any size will also yield a solution to another problem that is known to be NP - complete: the Hamiltonian path problem.

It's reminiscent of the travelling salesperson problem, which aims to find the shortest route that visits several cities only once — probably the most famous NP - complete question of all.

Around ten years ago researcher Dave Bacon, now at Google, showed that a time - travelling quantum computer could quickly solve a group of problems, known as NP - complete, which mathematicians have lumped together as being hard.

Independent control and tuning of the fluence: each excitation laser pulse provides maximal flexibility in manipulating the lifetime (i.e. size) of the rainbow PNB in a wide range of cluster size and composition, thus circumventing the problem of the heterogeneous formation and content of NP clusters in cells.

Finding the optimal community structure, or maximizing Q, is an NP - hard problem [36].

Identifying the true modular structure of a network is an NP - hard problem [36].

np mate, i think the problem is either (A) most ppl here have spent way to much time in the heavily policed mii verse or (B) they all consider themselves troll hunters and their eyes light up upon seeing any negative comment directed at the wii u lol.

The Net Promoter Score (NPS), which was developed by Fred Reichheld, an expert in loyalty economics, seems to be the solution of the problem: It is a way of empirically measuring the level of loyalty or advocacy that exists between the producer and receiver of a product or service.

This event, modeled after hackathons, aimed to shine a light on this issue and create a space to build innovative technological solutions that will help the National Park Service (NPS) tackle its nearly $ 12 billion maintenance problem.

(Check the amusing NP scan linked here — when your best marketing is telling people how popular a game that won't be out in English for four years is, you've got problems.)

Well, at least we may found out if the problem is P ≠ NP or P = NP.

This is an incredibly vague statement; but part of the difficulty with this problem, which also exists in one form or another in many other famous problems (e.g. Riemann hypothesis,, P = NP, twin prime and Goldbach conjectures, normality of digits of Pi, Collatz conjecture, etc.) is that we expect any sufficiently complex (but deterministic) dynamical system to behave «chaotically» or «pseudorandomly», but we still have very few tools for actually making this intuition precise, especially if one is considering deterministic initial data rather than generic data.

NP is not the green solution to the Global Warming problem.

Ability to prioritize tasks, problem solve, recognize, and seek assistance from RN, NP or MD based on patient acuity.

NP: With things spiraling so far out of the realm of reality, do you think that creating more supply will really fix the problem?