A Fixed-Parameter Enumeration Algorithm for the Weighted FVS Problem

Author(s):  
Jianxin Wang ◽  
Guohong Jiang
2010 ◽  
Vol 33 (7) ◽  
pp. 1140-1152 ◽  
Author(s):  
Jian-Xin WANG ◽  
Guo-Hong JIANG ◽  
Jian-Er CHEN

2018 ◽  
Vol 49 (3) ◽  
pp. 35-47
Author(s):  
Stephen Fenner ◽  
Frederic Green ◽  
Steven Homer

2008 ◽  
Vol 39 (1) ◽  
pp. 33-46 ◽  
Author(s):  
Jonathan F. Buss ◽  
Tarique M. Islam
Keyword(s):  

Author(s):  
Jimmy Tseng

AbstractWe produce an estimate for the K-Bessel function $$K_{r + i t}(y)$$ K r + i t ( y ) with positive, real argument y and of large complex order $$r+it$$ r + i t where r is bounded and $$t = y \sin \theta $$ t = y sin θ for a fixed parameter $$0\le \theta \le \pi /2$$ 0 ≤ θ ≤ π / 2 or $$t= y \cosh \mu $$ t = y cosh μ for a fixed parameter $$\mu >0$$ μ > 0 . In particular, we compute the dominant term of the asymptotic expansion of $$K_{r + i t}(y)$$ K r + i t ( y ) as $$y \rightarrow \infty $$ y → ∞ . When t and y are close (or equal), we also give a uniform estimate. As an application of these estimates, we give bounds on the weight-zero (real-analytic) Eisenstein series $$E_0^{(j)}(z, r+it)$$ E 0 ( j ) ( z , r + i t ) for each inequivalent cusp $$\kappa _j$$ κ j when $$1/2 \le r \le 3/2$$ 1 / 2 ≤ r ≤ 3 / 2 .


Author(s):  
Andrés Cristi ◽  
Mathieu Mari ◽  
Andreas Wiese

2013 ◽  
Vol 46 (7) ◽  
pp. 839-860 ◽  
Author(s):  
Panos Giannopoulos ◽  
Christian Knauer ◽  
Günter Rote ◽  
Daniel Werner

Author(s):  
K.R. Abrahamson ◽  
M.R. Fellows ◽  
J.A. Ellis ◽  
M.E. Mata
Keyword(s):  

1970 ◽  
Vol 2 (3) ◽  
pp. 341-356
Author(s):  
G. Jándy

In cases where certain simplifications are allowed, the location optimisation of given and indivisible different economic units may be modelled as a bi-value weighted distribution problem. The paper presents a heuristic algorithm for this network-flow-type problem and also a partial enumeration algorithm for deriving the exact solution. But it is also pointed out that an initial sub-optimal solution can quickly be improved with a derivation on a direct line only, if the exact solution is not absolutely essential. A numerical example is used to illustrate the method of derivation on a direct line starting with an upper bound given by a sub-optimal solution.


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