Explore >> Select a destination
|
You are here 
|
jeremykun.wordpress.com | ||
| | | | |
www.yodaiken.com
|
|
| | | | | ||
| | | | |
www.jeremykun.com
|
|
| | | | | Decidability Versus Efficiency In the early days of computing theory, the important questions were primarily about decidability. What sorts of problems are beyond the power of a Turing machine to solve? As we saw in our last primer on Turing machines, the halting problem is such an example: it can never be solved a finite amount of time by a Turing machine. However, more recently (in the past half-century) the focus of computing theory has shifted away from possibility in favor of determining feasibility. | |
| | | | |
xorshammer.com
|
|
| | | | | There are many functions from $latex \mathbb{N}$ to $latex \mathbb{N}$ that cannot be computed by any algorithm or computer program. For example, a famous one is the halting problem, defined by $latex f(n) = 0$ if the $latex n$th Turing machine halts and $latex f(n) = 1$ if the $latex n$th Turing machine does not... | |
| | | | |
cyclostationary.blog
|
|
| | | Our toolkit expands to include basic probability theory. | ||
