Dictionary of Algorithms and Data Structures
This web site is hosted by the Software and Systems Division, Information Technology Laboratory, NIST. Development of this dictionary started in 1998 under the editorship of Paul E. Black. After 20 years, DADS needs to move. If you are interested in taking over DADS, please contact Paul Black. This is a dictionary of algorithms, algorithmic techniques, data structures, archetypal problems, and related definitions. Don't use this site to cheat. Currently we do not include algorithms particular to business data processing, communications, operating systems or distributed algorithms, programming languages, AI, graphics, or numerical analysis: it is tough enough covering "general" algorithms and data structures. Some terms with a leading variable, such as n-way, m-dimensional, or p-branching, are under k-. To look up words or phrases, enter them in the box, then click the button. We thank those who contributed definitions as well as many others who offered suggestions and corrections.
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Wire Sculpture
Coup de coeur pour les étonnants travaux de l’artiste Gavin Worth avec ces différentes sculptures en fil de fer. Actuellement basé à San Francisco, il conçoit à partir de 2 mètres de fil des oeuvres et des profils de personnages. A découvrir sur son portfolio et dans la suite de l’article.
Fast String Searching With Suffix Trees
I think that I shall never see A poem lovely as a tree. Poems are made by fools like me, But only God can make a tree. - Joyce Kilmer A tree's a tree. The problem Matching string sequences is a problem that computer programmers face on a regular basis. Imagine that you've just been hired as a programmer working on a DNA sequencing project. It is obvious at this point that a brute force string search is going to be terribly inefficient. The intuitive solution Since the database that you are testing against is invariant, preprocessing it to simplify the search seems like a good idea. Figure 1 The Suffix Trie Representing "BANANAS" Figure 1 shows a Suffix trie for the word BANANAS. The second point is what makes the suffix trie such a nice construct. Remarkable as this might seem, it means I could determine if the word BANANAS was in the collected works of William Shakespeare by performing just seven character comparisons. Under the spreading suffix tree Even you can make a tree A leaf node.
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Design thinking
Design thinking stands for design-specific cognitive activities that designers apply during the process of designing.[1] Overview[edit] Design thinking has come to be defined as combining empathy for the context of a problem, creativity in the generation of insights and solutions, and rationality in analyzing and fitting various solutions to the problem context.[2] According to Tim Brown, CEO and president of IDEO, the goal of Design Thinking is "matching people’s needs with what is technologically feasible and viable as a business strategy" [3] The premise of teaching Design Thinking is that by knowing about how designers approach problems and the methods which they use to ideate, select and execute solutions, individuals and businesses will be better able to improve their own problem solving processes and take innovation to a higher level. Origins of the term[edit] (For a detailed evolution, see History, below.) Solution-based thinking[edit] Bryan Lawson Architects vs. Lawson found that:
.:: General Purpose Hash Function Algorithms - By Arash Partow ::.
Description Hash functions are by definition and implementation pseudo random number generators (PRNG). From this generalization its generally accepted that the performance of hash functions and also comparisons between hash functions can be achieved by treating hash function as PRNGs. Analysis techniques such a Poisson distribution can be used to analyze the collision rates of different hash functions for different groups of data. The problem is that there are so many permutations of types of data, some highly random, others containing high degrees of patterning that its difficult to generalize a hash function for all data types or even for specific data types. Data Distribution This is the measure of how well the hash function distributes the hash values of elements within a set of data. The hash functions in this essay are known as simple hash functions. Hashing Methodologies Hash functions are typically defined by the way they create hash values from data. Bit Biases Compatability
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10 essential Counter Strike: Source maps
A lot of Counter Strike: Source games take place every day. In fact, it's still the second most popular title on Steam (coming in just after the original Counterstrike). You can understand why some players might be hungry for a little variety. From short range gunfights to spectacular physics engine acrobatics we've got them all, and if new maps don't do it for you, why not check out our top weapon mod list instead? 1. aim_ag_texture2 It might look unconventional, but this textureless mod's excellent design has lead to it becoming one of the most popular mod maps around. 2. aim_extreme Extreme deliberately pushes the capabilities of CS: Source, the map is still fun to play, but the real draw is visuals a huge step above most other CS maps. 3. aim_deagle7k There's something pure about single weapon maps, and desert eagle only ones really reward fast, skillful aiming. 4. fy_twotowers 5. fy_iceworld 6. scoutzknivez 7. surf_ski_2 8. surf_10x_final 9. surf_greatriver_xdre4m 10.
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