science, k-approximation of k-hitting set is an approximation algorithm for weighted hitting set. The input is a collection S of subsets of some universe...

problem is equivalent to the hitting set problem. A subset H {\displaystyle H} of U {\displaystyle U} is called a hitting set when H ∩ S j ≠ ∅ {\displaystyle...

the geometric nature, the approximation ratios for these problems can be much better than the general set cover/hitting set problems. Moreover, these...

= k ) = ( n k ) p k ( 1 − p ) n − k {\displaystyle f(k,n,p)=\Pr(X=k)={\binom {n}{k}}p^{k}(1-p)^{n-k}} for k = 0, 1, 2, ..., n, where ( n k ) = n ! k !...

approximation (i.e., which holds as m →∞). Second, of more concern, it assumes that during the membership test the event that one tested bit is set to...

successive approximation: β j k + 1 = β j k + Δ β j , {\displaystyle {\beta _{j}}^{k+1}={\beta _{j}}^{k}+\Delta \beta _{j},} where a superscript k is an iteration...

= k 1 , X 2 = k 2 ) = exp ⁡ ( − λ 1 − λ 2 − λ 3 ) λ 1 k 1 k 1 ! λ 2 k 2 k 2 ! ∑ k = 0 min ( k 1 , k 2 ) ( k 1 k ) ( k 2 k ) k ! ( λ 3 λ 1 λ 2 ) k {\displaystyle...

result of the good approximation that an event with ⁠1/k⁠ probability will have a ⁠1/2⁠ chance of occurring at least once if it is repeated k ln 2 times...

method Column generation k-approximation of k-hitting set — algorithm for specific LP problems (to find a weighted hitting set) Linear complementarity...

polynomial time, the minimum feedback arc set can be approximated to within a polylogarithmic approximation ratio, and maximum acyclic subgraphs can be...

the study of Diophantine approximation deals with the approximation of real numbers by rational numbers. It is named after Diophantus of Alexandria....

about what it means to say of a person that they speak Japanese is that the person knows, at least to some approximation, how to structure linguistic...

y k | x k ) p ( x k | x k − 1 ) d x k p ( x k | x k − 1 ) d x k ≃ N ↑ ∞ p ( y k | x k ) ∫ p ( y k | x k ) p ^ ( d x k | x k − 1 ) p ^ ( d x k | x k −...

bramble is the smallest hitting set for the family of subgraphs, and the treewidth of a graph is one less than the maximum order of a bramble. Every complete...

the case that such approximations are less accurate in the tails of the distribution. A general upper bound for the approximation error in the central...

final result, the approximation of π. There are two important considerations: If the points are not uniformly distributed, the approximation will be poor....

general one. Each definition of the highway dimension uses a hitting set of a certain set of (approximate) shortest paths: given a graph G = ( V , E ) {\displaystyle...

by w k / W k {\displaystyle w_{k}/W_{k}} : A 0 = 0 A k = A k − 1 + w k W k ( x k − A k − 1 ) Q 0 = 0 Q k = Q k − 1 + w k W k − 1 W k ( x k − A k − 1 )...

Manoban is a better approximation of the Thai pronunciation and is the spelling recommended by the Royal Thai General System of Transcription. Thai pronunciation:...

best rank‑k approximation to P in the least‑squares (Frobenius‑norm) sense is P k = U k Σ k V k T {\displaystyle P_{k}=U_{k}\,\Sigma _{k}\,V_{k}^{T}} ,...

Normal approximation by Stein's method. Springer. ISBN 978-3-642-15006-7. Artstein, S.; Ball, K.; Barthe, F.; Naor, A. (2004). "Solution of Shannon's...

given by p X ( k ) = Pr ( X = k ) = ( K k ) ( N − K n − k ) ( N n ) , {\displaystyle p_{X}(k)=\Pr(X=k)={\frac {{\binom {K}{k}}{\binom {N-K}{n-k}}}{\binom {N}{n}}}...

X′2 as also distributed as χ2 distribution with k − 1 degrees of freedom, the error in this approximation would not affect practical decisions. This conclusion...

implemented in the critical path of computer systems, such as operating systems, due to its high overhead; Clock, an approximation of LRU, is commonly used instead...

Stochastic approximation methods are a family of iterative methods typically used for root-finding problems or for optimization problems. The recursive...

generalizations of interpolation splines where the functions are determined to minimize a weighted combination of the average squared approximation error over...

as the Kolmogorov theorem. The accuracy of this limit as an approximation to the exact CDF of K {\displaystyle K} when n {\displaystyle n} is finite is...

do not compute all ways of splitting the original sample. These methods are approximations of leave-p-out cross-validation. In k-fold cross-validation,...

Rajaraman & J. Ullman (2010). "Mining of Massive Datasets, Ch. 3". Weber, Roger; Blott, Stephen. "An Approximation-Based Data Structure for Similarity Search"...

can be assessed because we know Ĵ. If Ĵ is a reasonable approximation to J, then the quality of inference on J can in turn be inferred. As an example,...