perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can use conditionals...

genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)....

intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform...

is important for optimizing the efficiency of other algorithms (such as search and merge algorithms) that require input data to be in sorted lists. Sorting...

The Secure Hash Algorithms are a family of cryptographic hash functions published by the National Institute of Standards and Technology (NIST) as a U.S...

theory). Fractal art is an example of algorithmic art. For an image of reasonable size, even the simplest algorithms require too much calculation for manual...

science of algorithms Algorithmica, an academic journal for algorithm research Algorithmic efficiency, the computational resources used by an algorithm Algorithmic...

In computer science, a search algorithm is an algorithm designed to solve a search problem. Search algorithms work to retrieve information stored within...

widely used as the textbook for algorithms courses at many universities and is commonly cited as a reference for algorithms in published papers, with over...

algorithms (also known as force-directed algorithms or spring-based algorithm) Spectral layout Network analysis Link analysis Girvan–Newman algorithm:...

: 127  What makes quantum algorithms interesting is that they might be able to solve some problems faster than classical algorithms because the quantum superposition...

quicksort and other algorithms needing only O(log n) additional pointers are usually considered in-place algorithms. Most selection algorithms are also in-place...

logarithmic-time algorithms is O ( log ⁡ n ) {\displaystyle O(\log n)} regardless of the base of the logarithm appearing in the expression of T. Algorithms taking...

classical algorithms. Quantum algorithms that offer more than a polynomial speedup over the best-known classical algorithm include Shor's algorithm for factoring...

branch-and-bound algorithm. There are a few variations to the greedy algorithm: Pure greedy algorithms Orthogonal greedy algorithms Relaxed greedy algorithms Greedy...

many FFT algorithms are much more accurate than evaluating the DFT definition directly or indirectly. There are many different FFT algorithms based on...

irrelevant. Some special and specific algorithms have been developed to aid in attacking some public key encryption algorithms; both RSA and ElGamal encryption...

called the Jarník's algorithm, Prim–Jarník algorithm, Prim–Dijkstra algorithm or the DJP algorithm. Other well-known algorithms for this problem include...

computer science, the analysis of algorithms is the process of finding the computational complexity of algorithms—the amount of time, storage, or other...

of the simplex algorithm that are especially suited for network optimization Combinatorial algorithms Quantum optimization algorithms The iterative methods...

multiple learning algorithms to obtain better predictive performance than could be obtained from any of the constituent learning algorithms alone. Unlike...

and automation. Computer science spans theoretical disciplines (such as algorithms, theory of computation, and information theory) to applied disciplines...

These two algorithms form the basis for many variations including LZW, LZSS, LZMA and others. Besides their academic influence, these algorithms formed the...

(Las Vegas algorithms, for example Quicksort), and algorithms which have a chance of producing an incorrect result (Monte Carlo algorithms, for example...

Government by algorithm (also known as algorithmic regulation, regulation by algorithms, algorithmic governance, algocratic governance, algorithmic legal order...

discrete ordered, counts, continuous values), some algorithms are easier to apply than others. Many algorithms, including support-vector machines, linear regression...

medical decision-making field, algorithms are less complex in architecture, data structure and user interface. Medical algorithms are not necessarily implemented...

efficient algorithms. It was the key, for example, to Karatsuba's fast multiplication method, the quicksort and mergesort algorithms, the Strassen algorithm for...

algorithmic paradigm or algorithm design paradigm is a generic model or framework which underlies the design of a class of algorithms. An algorithmic...

other algorithms have been made. However, these algorithms are similar to classical brute-force checking of factors, so unlike Shor's algorithm, they...