k-step ahead predictions determined by simulation of the
％ one-step ahead neural network predictor. For NNARMAX
％ models the residuals are set to zero when calculating the
％ predictions. The predictions are compared to the observed output.
％
AHP toolbox
AHPCALC Perform a complete AHP calculation.
AHPHIER one-step hierarchical assembly of AHP weighting vector.
AHPREORDER Internal reordering function called by AHPCALC.
AHPVECTOR Calculate the AHP ranking or weighting vector from an
AHP reciproal matrix.
AHPMAKEMAT Turn a vector of comparisons into an AHP reciprocal matrix.
Copyright (C) 2001 Michael J. Scott
A new type of cloak is discussed: one that gives all cloaked objects the appearance of a flat conducting
sheet. It has the advantage that none of the parameters of the cloak is singular and can in fact be made
isotropic. It makes broadband cloaking in the optical frequencies one step closer.
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The combinatorial core of the OVSF code assignment problem
that arises in UMTS is to assign some nodes of a complete binary
tree of height h (the code tree) to n simultaneous connections, such that
no two assigned nodes (codes) are on the same root-to-leaf path. Each
connection requires a code on a specified level. The code can change over
time as long as it is still on the same level. We consider the one-step code
assignment problem: Given an assignment, move the minimum number of
codes to serve a new request. Minn and Siu proposed the so-called DCAalgorithm
to solve the problem optimally. We show that DCA does not
always return an optimal solution, and that the problem is NP-hard.
We give an exact nO(h)-time algorithm, and a polynomial time greedy
algorithm that achieves approximation ratio Θ(h). Finally, we consider
the online code assignment problem for which we derive several results
Use this resource to teach yourself Visual C# .NET version 2003, start developing Microsoft .NET–connected applications—one step at a time, master language fundamentals at your own pace and use the learn-by-doing exercises to dig in and code!
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