نتایج جستجو برای: asymptotic techniques

تعداد نتایج: 690150  

Journal: :SIAM J. Scientific Computing 2016
Anaïs Crestetto Fabrice Deluzet Claudia Negulescu

This paper presents a hybrid numerical method to solve efficiently a class of highly anisotropic elliptic problems. The anisotropy is aligned with one coordinateaxis and its strength is described by a parameter ε ∈ (0, 1], which can largely vary in the study domain. Our hybrid model is based on asymptotic techniques and couples (spatially) an Asymptotic-Preserving model with its asymptotic Limi...

Journal: :International Journal of Modern Physics A 2022

The Gel'fand-Yaglom theorem has been used to calculate the one-loop effective action in quantum field theory by means of "partial-wave-cutoff method". This method works well for a wide class background fields and is essentially exact. However, its implementation semi-analytical so far since it involves solving non-linear ordinary differential equation which solutions are general unknown. Within...

In this paper, a fractional-order robust adaptive intelligent controller (FRAIC) is designed for a class of chaotic fractional order systems with uncertainty, external disturbances and unknown time-varying input time delay. The time delay is considered both constant and time varying. Due to changes in the equilibrium point, adaptive control is used to update the system's momentary information a...

This paper presents a fixed-end two-mass system (TMS) with end constraints that permits uncoupled solutions for different masses. The coupled nonlinear models for the present fixed-end TMS were solved using the continuous piecewise linearization method (CPLM) and detailed investigation on the effect of mass-ratio on the TMS response was conducted. The investigations showed that increased mass-r...

Journal: :J. Comput. Syst. Sci. 2008
William I. Gasarch James Glenn Clyde P. Kruskal

There has been much work on the following question: given n, how large can a subset of {1, . . . , n} be that has no arithmetic progressions of length 3. We call such sets 3-free. Most of the work has been asymptotic. In this paper we sketch applications of large 3-free sets, present techniques to find large 3-free sets of {1, . . . , n} for n ≤ 250, and give empirical results obtained by codin...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشکده علوم اقتصادی - دانشکده مدیریت 1393

شبکه خود سازمانده پرکاربردترین شبکه عصبی برای انجام خوشه بندی و کوانتیزه نمودن برداری است. از زمان معرفی این شبکه تاکنون، از این روش در مسائل مختلف در حوزه های گوناگون استفاده و توسعه ها و بهبودهای متعددی برای آن ارائه شده است. شبکه خودسازمانده از تعدادی سلول برای تخمین تابع توزیع الگوهای ورودی در فضای چندبعدی استفاده می کند. احتمال وجود سلول مرده مشکلی اساسی در الگوریتم شبکه خودسازمانده به حسا...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه رازی - دانشکده علوم 1388

چکیده: فرض کنید که تابعی از اپسیلون یک مجموع نامتناهی از احتمالات موزون مربوط به مجموع های جزئی براساس یک دنباله از متغیرهای تصادفی مستقل و همتوزیع باشد، و همچنین فرض کنید توابعی مانند g و h وجود دارند که هرگاه امید ریاضی توان دوم x متناهی و امیدریاضی x صفر باشد، در این صورت می توان حد حاصلضرب این توابع را بصورت تابعی از امید ریاضی توان دوم x نوشت. حالت عکس نیز برقرار است. همچنین ما با استفاده...

2006
R. E. Tribble F. Carstoiu

Both direct and indirect techniques have been used for many years to determine nuclear reaction rates at astrophysical energies. A number of problems have been encountered which limit measurements by direct techniques, including very low cross sections, the importance of subthreshold states and the need for radioactive targets. Over the past decade, new indirect techniques have been developed t...

Journal: :Electr. J. Comb. 2015
Tobias Johnson

We consider the distribution of cycle counts in a random regular graph, which is closely linked to the graph’s spectral properties. We broaden the asymptotic regime in which the cycle counts are known to be approximately Poisson, and we give an explicit bound in total variation distance for the approximation. Using this result, we calculate limiting distributions of linear eigenvalue statistics...

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