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Closed 10 years ago.
What are some effective ways to understand the concepts of an algorithm? For example, there are many visual explanations for "Towers of Hanoi", and for some "easy-to-understand" algorithms. But for more complicated algorithms, I can't find animations that facilitate my understanding.
This question might seem subjective. Nevertheless, I am sure that many people just like me wonder if there are better ways to understand an algorithm more visually, because for some people, visually expressed things become more understandable.
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Closed 9 years ago.
I really need an advice. I have a function that have big number of recursive calls. Actually i need it. And algorithm is correct it works in C but in lisp there is a problem because of stack overflow. What should i do to solve it? How can i change algorithm to be able to work in lisp?
You have three options:
Rewrite the algorithm to be tail-recursive or, equivalently, iterative
Change the algorithm all together
Increase the lisp's stack size
It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center.
Closed 10 years ago.
A sampling algorithm could output any real number in range [0,1],but the correct answer is in the range [0.1,0.2+x]("x" is in range [0,1]), the algorithm can output a correct answer with probability more than "0.8", then how to give a good answer with high probability? (such as run it many times, and pick the median as the right answer)
I think the question may be asking about the central limit theorem. If the samplings are independent and identically distributed, the OP could apply the classical form: Classical CLT
Otherwise, I recommend viewing the rest of the Wikepedia article to see if any of the other forms are applicable.
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Closed 11 years ago.
I'm studying computability theory, and I'm looking for a problem that clearly can be solved, but not in polynomial time.
I tried thinking of all sort's of examples, but it wasn't clear why they can't be solved in polynomial time..
The travelling sales man problem.
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Closed 10 years ago.
In plain English describe the algorithm for an insertion sort of items in an array.
I've also been asked to use diagrams if appropriate but that's a little hard on here I understand.
Here is a PDF presentation which describes insertion sort.
With a quick google search http://en.wikipedia.org/wiki/Insertion_sort
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Closed 12 years ago.
Where can I find source code for travelling salasman problem?
nowhere, it's not been solved.
You had mentioned that you were having problems with more than 8 or 9 nodes. This isn't surprising because the complexity increases exponentially with each added node.
As a result many solutions involve Genetic programming to gradually evolve a good answer. Finding the best generally requires a brute-force check of all possibilities.
One example is here, which also provides their source code.