Caring for Your Introvert - Jonathan Rauch - The Atlantic
Caring for Your Introvert - Jonathan Rauch - The Atlantic: " Our motto: "I'm okay, you're okay—in small doses.""'via Blog this'
Caring for Your Introvert - Jonathan Rauch - The Atlantic
Caring for Your Introvert - Jonathan Rauch - The Atlantic: " Our motto: "I'm okay, you're okay—in small doses.""Caring for Your Introvert - Jonathan Rauch - The Atlantic
Caring for Your Introvert - Jonathan Rauch - The Atlantic: "If you answered yes to these questions, chances are that you have an introvert on your hands—and that you aren't caring for him properly. Science has learned a good deal in recent years about the habits and requirements of introverts. It has even learned, by means of brain scans, that introverts process information differently from other people (I am not making this up). If you are behind the curve on this important matter, be reassured that you are not alone. Introverts may be common, but they are also among the most misunderstood and aggrieved groups in America, possibly the world."Berlekamp–Massey algorithm - Wikipedia, the free encyclopedia
Berlekamp–Massey algorithm - Wikipedia, the free encyclopedia: "The Berlekamp–Massey algorithm is an algorithm that will find the shortest linear feedback shift register (LFSR) for a given binary output sequence. The algorithm will also find the minimal polynomial of a linearly recurrent sequence in an arbitrary field.[1]"Low-density parity-check code - Wikipedia, the free encyclopedia
Low-density parity-check code - Wikipedia, the free encyclopedia: "In information theory, a low-density parity-check (LDPC) code is a linear error correcting code, a method of transmitting a message over a noisy transmission channel,[1][2] and is constructed using a sparse bipartite graph.[3] LDPC codes are capacity-approaching codes, which means that practical constructions exist that allow the noise threshold to be set very close (or even arbitrarily close on the BEC) to the theoretical maximum (the Shannon limit) for a symmetric memory-less channel. The noise threshold defines an upper bound for the channel noise, up to which the probability of lost information can be made as small as desired. Using iterative belief propagation techniques, LDPC codes can be decoded in time linear to their block length."Reed–Solomon error correction - Wikipedia, the free encyclopedia
Reed–Solomon error correction - Wikipedia, the free encyclopedia: "In coding theory, Reed–Solomon (RS) codes are non-binary[1] cyclic error-correcting codes invented by Irving S. Reed and Gustave Solomon. They described a systematic way of building codes that could detect and correct multiple random symbol errors. By adding t check symbols to the data, an RS code can detect any combination of up to t erroneous symbols, or correct up to ⌊t/2⌋ symbols. As an erasure code, it can correct up to t known erasures, or it can detect and correct combinations of errors and erasures. Furthermore, RS codes are suitable as multiple-burst bit-error correcting codes, since a sequence of b + 1 consecutive bit errors can affect at most two symbols of size b.[2] The choice of t is up to the designer of the code, and may be selected within wide limits."Silver fox (animal) - Wikipedia, the free encyclopedia
Silver fox (animal) - Wikipedia, the free encyclopedia: "The Silver Fox (Vulpes vulpes) is a melanistic form of red fox. "What We Learned in 2012 · An A List Apart Article
What We Learned in 2012 · An A List Apart Article: "Design systems, not screensWhat We Learned in 2012 · An A List Apart Article
What We Learned in 2012 · An A List Apart Article: "For me 2012 was a year of experimentation. I learned that the more certain you are about something, or the longer you’ve been doing things one way, the more important it is to abandon your assumptions and try the complete opposite. The more embedded your assumptions are, the less you notice them—so this is not easy.Optimal substructure - Wikipedia, the free encyclopedia
Optimal substructure - Wikipedia, the free encyclopedia: "In computer science, a problem is said to have optimal substructure if an optimal solution can be constructed efficiently from optimal solutions of its subproblems. This property is used to determine the usefulness of dynamic programming and greedy algorithms for a problem.[1]"Dynamic programming - Wikipedia, the free encyclopedia
Dynamic programming - Wikipedia, the free encyclopedia: "Optimal substructure means that the solution to a given optimization problem can be obtained by the combination of optimal solutions to its subproblems. Consequently, the first step towards devising a dynamic programming solution is to check whether the problem exhibits such optimal substructure. Such optimal substructures are usually described by means of recursion. For example, given a graph G=(V,E), the shortest path p from a vertex u to a vertex v exhibits optimal substructure: take any intermediate vertex w on this shortest path p. If p is truly the shortest path, then the path p1 from u to w and p2 from w to v are indeed the shortest paths between the corresponding vertices (by the simple cut-and-paste argument described in Introduction to Algorithms). Hence, one can easily formulate the solution for finding shortest paths in a recursive manner, which is what the Bellman-Ford algorithm or the Floyd-Warshall algorithm does.New HTML Parser: The long-awaited libxml2 based HTML parser code is live. It needs further work but already handles most markup better than the original parser.
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