This is a list of well-known data structures. For a wider list of terms, see list of terms relating to algorithms and data structures. For a comparison of running times for a subset of this list see comparison of data structures. Boolean, true or false. Character Floating-point representation of a finite subset of the rationals. Including single-precision and double-precision IEEE 754 floats, amon
This article is about search trees that allow searching from interior nodes. For the purely functional data structure, see finger tree. In computer science, finger search trees are a type of binary search tree that keeps pointers to interior nodes, called fingers. The fingers speed up searches, insertions, and deletions for elements close to the fingers, giving amortized O(log n) lookups, and amor
Low-density parity-check (LDPC) codes are a class of error correction codes which (together with the closely-related turbo codes) have gained prominence in coding theory and information theory since the late 1990s. The codes today are widely used in applications ranging from wireless communications to flash-memory storage. Together with turbo codes, they sparked a revolution in coding theory, achi
Today I will talk about an elegant way of answering rank queries on sequences over larger alphabets – a structure called the Wavelet Tree. In my last post I introduced a data structure called RRR, which is used to quickly answer rank queries on binary sequences, and provide implicit compression. A Wavelet Tree organises a string into a hierarchy of bit vectors. A rank query has time complexity is
Writing out the full message at each step, as done in the example above, is very tedious. Efficient implementations use an -bit shift register to hold only the interesting bits. Multiplying the polynomial by is equivalent to shifting the register by one place, as the coefficients do not change in value but only move up to the next term of the polynomial. Here is a first draft of some pseudocode fo
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In multithreaded computing, the ABA problem occurs during synchronization, when a location is read twice, has the same value for both reads, and the read value being the same twice is used to conclude that nothing has happened in the interim; however, another thread can execute between the two reads and change the value, do other work, then change the value back, thus fooling the first thread into
Over the past two decades the research community has developed a body of knowledge concerning “Lock-Free” and “Wait-Free” algorithms and data structures. These techniques allow concurrent update of shared data structures without resorting to critical sections protected by operating system managed locks. A number of wait-free and lock free algorithms for simple data structures such as LIFO stacks a
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