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algorithms that are exponential only in the size of a fixed parameter while polynomial in the size of the input. Such an algorithm is called a fixed-parameter...

some parameter associated to the problem) can be found in polynomial time. When this is possible, it results in a fixed-parameter tractable algorithm whose...

reversed edges is very small, these edges can be found by a fixed-parameter-tractable algorithm. The vertices of the directed acyclic graph resulting from...

an Estimation of distribution algorithm, Particle swarm optimization (PSO) is a computational method for multi-parameter optimization which also uses population-based...

brute force search algorithm has running time O(nkk2). Because the exponent of n depends on k, this algorithm is not fixed-parameter tractable. Although...

S2CID 965332 Jens Gramm; Rolf Niedermeier; Peter Rossmanith (2003), "Fixed-Parameter Algorithms for Closest String and Related Problems", Algorithmica, 37: 25–42...

expectation–maximization (EM) algorithm is an iterative method to find (local) maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical...

other problems. In particular, the problem is not fixed-parameter tractable in the sense that no algorithm with running time f(k)nO(1) for any function f...

leaky bucket are a mirror image of the token bucket algorithm and will, given equivalent parameters, determine exactly the same sequence of events to conform...

starting parameters, the LMA tends to be slower than the GNA. LMA can also be viewed as Gauss–Newton using a trust region approach. The algorithm was first...

resulting graph to be bipartite. The problem is fixed-parameter tractable, meaning that there is an algorithm whose running time can be bounded by a polynomial...

burstiness: see network scheduler. The token bucket algorithm is based on an analogy of a fixed capacity bucket into which tokens, normally representing...

algorithms modeled on the actions of an ant colony. Artificial 'ants' (e.g. simulation agents) locate optimal solutions by moving through a parameter...

has a fixed point, but the proof is not constructive. Various algorithms have been devised for computing an approximate fixed point. Such algorithms are...

solution (agent) in the population. The basic DE algorithm can then be described as follows: Choose the parameters NP ≥ 4 {\displaystyle {\text{NP}}\geq 4} ...

In computer science, divide and conquer is an algorithm design paradigm. A divide-and-conquer algorithm recursively breaks down a problem into two or...

specific parameter. These algorithms are designed to combine the best aspects of both traditional approximation algorithms and fixed-parameter tractability...

as fixed-parameter tractable. However, this method does not directly provide a single fixed-parameter-tractable algorithm for computing the parameter value...

In computational statistics, the preconditioned Crank–Nicolson algorithm (pCN) is a Markov chain Monte Carlo (MCMC) method for obtaining random samples...

floating-point scaling Modulo operation μ-law algorithm A-law algorithm "What's the Difference Between Fixed-Point, Floating-Point, and Numerical Formats...