Results 161 to 170 of about 260,074 (191)
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Addition and Decomposition of Polytopes
2003In this chapter we discuss two methods of ‘adding together’ two polytopes to form a third. The first of these, vector addition or Minkowski addition as it is sometimes called, has already been used in the preceding chapters. The second, called Blaschke addition, will form the topic of section 15.3.
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Ideal Decompositions for Vector Addition Systems
2016Vector addition systems, or equivalently Petri nets, are one of the most popular formal models for the representation and the analysis of parallel processes. Many problems for vector addition systems are known to be decidable thanks to the theory of well-structured transition systems.
Leroux, Jérôme, Schmitz, Sylvain
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Time Series Decomposition: An Additional Methodology
SSRN Electronic Journal, 2014Our aim in this article is to introduce an additional approach that extends the conventional model identification method to decompose time series into the stationary and random walk components. It has been shown that the additional approach of decomposition has reliable small sample properties, especially for high-frequency data.
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Decomposition of vector-valued additive functions
Journal of Soviet Mathematics, 1992See the review in Zbl 0712.28003.
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Decomposition theorems for infinitely additive functions
1988The author generalizes an algebraic version of Lebesgue's decomposition theorem (by means of ideals) and compares it with the topological version of Lebesgue's decomposition theorem (by means of FN-topologies).
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On additive decompositions of the set of primes
Archiv der Mathematik, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Fractional Derivative Variational Model for Additive Signal Decomposition
We present a novel variational model for the additive decomposition of 1D noisy signals. The model relies on sparsifying fractional-order derivatives of the sought-for components to capture intricate signal structures. To efficiently solve the resulting optimization problem, an alternating direction method of multipliers-based algorithm is developed ...Girometti, Laura +2 more
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Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma
Ca-A Cancer Journal for Clinicians, 2020Aaron J Grossberg +2 more
exaly