نتایج جستجو برای: k ε model

تعداد نتایج: 2428879  

2004
A. G. Ramm

Let F : X → X be a C 2 loc map in a Banach space X, and A be its Frèchet derivative at the element w := w ε , which solves the problem (*) ˙ w = −A −1 ε (F (w) + εw), w(0) = w 0 , where A ε := A + εI. Assume that A −1 ε ≤ cε −k , 0 < k ≤ 1, 0 < ε > ε 0. Then (*) has a unique global solution, w(t), there exists w(∞), and (* *) F (w(∞)) + εw(∞) = 0. Thus the DSM (Dynamical Systems Method) is just...

2000
Elisabetta Pallante Antonio Pich

We quantify the important effect of strong final state interactions in the weak K → 2π amplitudes, using the measured π-π phase shifts with J = 0 and I = 0, 2. The main results of this analysis, with their implications for ε/ε and the ∆I = 1/2 rule, have been already presented in a previous paper [1]. Here we provide a detailed formal derivation of those results and further discuss the Standard...

2014
Sangchul Lee

Proof of Observation 1. Before the proof, we remind that what we want to prove is the following statement: (∀ε ∈ R) ε > 0⇒ ((∃N ∈ N)(∀n ∈ N) n ≥ N ⇒ |an − x | < ε). To this end, choose arbitrary positive real ε > 0 and pick a positive rational ε′ with 0 < ε′ < ε by utilizing the Archimedean property. Then there exists N (depending on ε′ and hence on ε) such that j, k ≥ N ⇒ |a j − ak | < ε′. Now...

Journal: :Quantum Information & Computation 2015
Peter Selinger

We give an efficient randomized algorithm for approximating an arbitrary element of SU(2) by a product of Clifford+T operators, up to any given error threshold ε > 0. Under a mild hypothesis on the distribution of primes, the algorithm’s expected runtime is polynomial in log(1/ε). If the operator to be approximated is a z-rotation, the resulting gate sequence has T -count K + 4 log 2 (1/ε), whe...

2014
Gang Yu Hongying Lu

and Applied Analysis 3 where xi k , i 1, 2 stand for the density of the prey and the predator at time k, respectively. ui k , i 1, 2 are the control variables at time k. h2 is a positive constant, denoting the constant of capturing half-saturation. In this paper, we are concerned with the effects of the almost periodicity of ecological and environmental parameters and time delays on the global ...

2013
W D Shi G J Zhang

The objective of this paper is to evaluate the predictive capability of three turbulence models for the simulation of unsteady cavitating flows around a 2D Clark-y hydrofoil. Three turbulence models were standard k-ε model, hybrid model of density correction model (DCM) and filter-based model (FBM) and an improved partially-averaged Navier-Stokes model (PANS) based on k-ε model. Using the above...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی خواجه نصیرالدین طوسی - دانشکده عمران 1392

تقریباً تمامی جریان های محیط زیستی و ژئوفیزیکی همانند جریان هایی که در دریاچه ها، مخازن سدها، مصب رودها و اتمسفر رخ می دهند آشفته و در اغلب موارد لایه بندی شده هستند. جریان های لایه بندی شده ثقلی یا جریان های تحت تأثیر نیروهای غوطه وری در اثر تفاوت چگالی جریان ثقلی با سیال پیرامون ایجاد می شوند. حضور نیرو های شناوری ناشی از لایه بندی تأثیر اساسی در گسترش جریان، فرآیندهای اختلاط آشفته، و تولید و ...

2000
A. J. Buras P. Gambino M. Gorbahn S. Jäger L. Silvestrini

We analyze the CP violating ratio ε/ε and rare K and B decays in the MSSM with minimal flavour and CP violation, including NLO QCD corrections and imposing constraints on the supersymmetric parameters coming from ε, B0 d,s − B̄0 d,s mixings, B → Xsγ, ∆̺ in the electroweak precision studies and from the lower bound on the neutral Higgs mass. We provide a compendium of phenomenologically relevant f...

2010
Manuel Breuning

The following is a proof which is independent of this characterisation. First assume that ‖ ‖ is non-archimedean. Let x, y ∈ K. Using that ‖ ‖ extends | | we then obtain |x + y| = ‖x + y‖ ≤ max{‖x‖, ‖y‖} = max{|x|, |y|} which shows that | | is non-archimedean. Now assume that | | is non-archimedean. Let x, y ∈ K̂. Let ε > 0. Since K is dense in K̂ there exist u, v ∈ K such that ‖x − u‖ < ε and ‖y...

Journal: :CoRR 2015
Michael Kerber Sharath Raghvendra

Let P be a set of n points in R. In the projective clustering problem, given k, q and norm ρ ∈ [1,∞], we have to compute a set F of k q-dimensional flats such that ( ∑ p∈P d(p,F)) is minimized; here d(p,F) represents the (Euclidean) distance of p to the closest flat in F . We let f k (P, ρ) denote the minimal value and interpret f k (P,∞) to be maxr∈P d(r,F). When ρ = 1, 2 and ∞ and q = 0, the ...

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