Pink and Blue giving some life advice to Yellow.

The heart loves what it loves.

The classic one

Pink, Blue and their memories.

Pink shows her preferences. Blue tries to score.

OK, that's a mouthful. I wrote an answer to How can I show that a function is not computable over at Quora, which brought up the Busy Beaver function. BB(n) is a typical example of a non-computable function.

Employee of tcs the biggest IT Firm are disappointed from the gifts they have got at 50th year celebration of the company. Source of shared Link

TCS to drive blockchain reception 1 min read . 14 Mar 2019 IANS The new TCS arrangements will utilize Microsoft Azure Blockchain Cloud TCS has been effectively conveying its "Quartz Blockchain

AC^0 is a circuit complexity class. It represents the set of decision problems that are solvable with a family of constant-depth unlimited-fanin polynomial-size circuits. Photo by Yung Chang on Unsplash.

The paper "On the complexity of chess" by James A Storer is available online, and it’s fairly readable. It demonstrates that deciding the winner in chess (expanded to NxN boards, with correspondingly

For any f(n), DTIME(f(n)) ⊆ SPACE(f(n)). This is because if you run for f(n) steps you can write to at most f(n) locations. (The reverse, of course, is not true.) The same applies for nondeterministic

The Subset Sum problem is NP-complete, but what does a reduction from another problem actually look like? I set out to create a concrete example. Let's start with factoring. What are the factors of 91?

I found this cute sequence in the Online Encyclopedia of Integer Sequences: A168650: Integers that can be generated with a C/C++ expression that is shorter than their decimal representation. The

The Halting Problem is whether or not a given Turing machine halts on a given input. This is the classic example of an undecidable problem, one that no Turing machine can accurately and completely solve.

Computer Science education teaches "Big O" notation for describing complexity upper bounds, and Big-Theta and Big-Omega get introduced as well. Mathematicians and complexity theorists sometimes

I'm (slowly) continuing to read The Computational Complexity of Logical Theories, and it came in useful answering this Quora question: Can we predict [time] complexity before writing an algorithm? Here's

There's an algorithm which solves SAT instances in polynomial time, if and only if P=NP. If P=NP, then it runs in polynomial time. If P is not equal to NP, it runs in the best possible non-polynomial time

I'm reading a book from 1979 by Jeanne Ferrante and Charles W. Rackoff: "The Computational Complexity of Logical Theories." Though it's now nearly 40 years old, it still gets cited often, so

Hilbert's Tenth Problem from his famous list published in 1900, asks whether it is possible to create an algorithm which solves every Diophantine equation, that is, one whose solutions must be integers.