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- In the backtracking algorithms we looked at, we saw algorithms that found decision points and recursed over all options from that decision ...ee, such a backtracking analysis will be unnecessary in the case of greedy algorithms, so it is not greedy in the sense of causing harm for only short-term gain. ...6 KB (941 words) - 06:33, 27 January 2009
- ...echnique to speed up the computation is '''randomization'''. In randomized algorithms, the algorithm has access to a ''random source'', which can be imagined as ...algorithm must always return the correct answer to the input. Monte-Carlo algorithms do not have the former restriction, that is, they are allowed to give ''wro ...13 KB (2,102 words) - 20:16, 6 December 2007
- ...ermine an algorithm's resource consumption? Yes and no. When two different algorithms are similar in time consumption a precise function might help to determine ...of f and g, in range 0 to 5|Plot of f and g, in range 0 to 5]] || [[Image:Algorithms-Asymptotic-ExamplePlot2.png|frame|Plot of f and g, in range 0 to 15|Plot of ...20 KB (3,552 words) - 04:08, 27 January 2008
- ...' be confused with the act of writing computer programs. In the context of algorithms, dynamic programming always refers to the technique of filling in a table w {{Computer Science:Algorithms:Sample|[[Ada_Programming/Algorithms#Simple_Implementation|Ada]]}} ...15 KB (2,350 words) - 18:45, 22 February 2008
- [[Image:Algorithms-NetFlow1.png]] [[Image:Algorithms-NetFlow2.png]] ...10 KB (1,800 words) - 06:11, 27 January 2009
- ...es on the stack, it would only require 8 kilobytes. In addition, iterative algorithms tend to be faster in practice due to lack of function overhead. ...binary search will be useful for understanding the partition and quicksort algorithms, presented in the randomization chapter. ...32 KB (5,366 words) - 16:40, 7 January 2009
- 1 KB (199 words) - 18:39, 24 June 2006
Page text matches
- In the backtracking algorithms we looked at, we saw algorithms that found decision points and recursed over all options from that decision ...ee, such a backtracking analysis will be unnecessary in the case of greedy algorithms, so it is not greedy in the sense of causing harm for only short-term gain. ...6 KB (941 words) - 06:33, 27 January 2009
- ...er Logic : A semi-graphical programming language used to represent control algorithms. The language is expressed using symbols for logic devices. The arrangeme ...troller, a microprocessor-based electronic device for implementing control algorithms. ...2 KB (237 words) - 22:30, 31 October 2006
- ==Numbers and Algorithms== ...3 KB (468 words) - 07:54, 29 July 2006
- ===Algorithms=== === Analysis of Algorithms === ...5 KB (840 words) - 20:30, 21 September 2007
- ...lly we provide an (graphical) evaluation of the performance of these three algorithms for specific criterion functions (the Himmelblau function and the Rosenbroc ...4 KB (523 words) - 21:52, 12 October 2007
- For both security and performance reasons, most digital signature algorithms specify that only the digest of the message be "signed", not the entire mes ...and RIPEMD. This has called into question the long-term security of later algorithms which are derived from these hash functions. In particular, SHA-1 (a streng ...4 KB (599 words) - 18:42, 24 June 2006
- As we have seen from the two algorithms above, an FPU needs the following components: Both algorithms require some kind of addition/subtraction unit for the exponent part, so it ...4 KB (579 words) - 12:22, 7 July 2007
- Hebbian learning is one of the oldest learning algorithms, and is based in large part on the dynamics of biological systems. A synaps ...1 KB (177 words) - 14:29, 30 October 2007
- ...echnique to speed up the computation is '''randomization'''. In randomized algorithms, the algorithm has access to a ''random source'', which can be imagined as ...algorithm must always return the correct answer to the input. Monte-Carlo algorithms do not have the former restriction, that is, they are allowed to give ''wro ...13 KB (2,102 words) - 20:16, 6 December 2007
- ...' be confused with the act of writing computer programs. In the context of algorithms, dynamic programming always refers to the technique of filling in a table w {{Computer Science:Algorithms:Sample|[[Ada_Programming/Algorithms#Simple_Implementation|Ada]]}} ...15 KB (2,350 words) - 18:45, 22 February 2008
- ...set of operations-- the key to finding good operations is seeing what the algorithms that ''use'' graphs actually ''need''] ...Shortest Path problem found in the companion [[Computer_Science:Algorithms|Algorithms]] book. The Oracle of Bacon at the University of Virginia has actually impl ...7 KB (1,208 words) - 16:23, 11 October 2007
- ...ny minutes and seconds they will take, but you do need some way to compare algorithms against one another. ...ize of the dataset ahead of time in most cases, we generalize by comparing algorithms using very large datasets. Saying that another way, f(20) vs. g(20) ("whic ...9 KB (1,754 words) - 22:20, 27 August 2011
- ...ace. The LVQ algorithm is a simplified precursor to more advanced learning algorithms, such as the self-organizing map. LVQ training is a type of competitive lea ...1 KB (252 words) - 14:33, 30 October 2007
- ...eful in determining the convergence tolerances of many iterative numerical algorithms. ...2 KB (256 words) - 04:29, 31 October 2007
- ...''infinite'' data structures to efficiently modularize generate & prune - algorithms. This and many other neat techniques with lazy evaluation will be detailed == Algorithms & Data Structures == ...13 KB (1,961 words) - 19:39, 3 March 2008
- algorithms book. I'll keep the discussion here to a minimum. take quite some time. Of course there are algorithms that run much ...5 KB (969 words) - 23:53, 16 December 2006
- algorithms book. I'll keep the discussion here to a minimum. take quite some time. Of course there are algorithms that run much ...6 KB (1,025 words) - 17:01, 13 March 2007
- The tap weight vector is updated during training by various algorithms. One of the more popular of which is the backpropagation algorithm which we ...s, using a combination of learning paradigms, learning rules, and learning algorithms. A system which has distinct learning and production phases is known as a s ...11 KB (1,677 words) - 17:32, 15 November 2007
- [[Image:Algorithms-NetFlow1.png]] [[Image:Algorithms-NetFlow2.png]] ...10 KB (1,800 words) - 06:11, 27 January 2009
- Error correction learning algorithms attempt to minimize this error signal at each training iteration. The most The '''learning rate''' is a common parameter in many of the learning algorithms, and affects the speed at which the ANN arrives at the minimum solution. In ...6 KB (1,039 words) - 14:27, 30 October 2007