نتایج جستجو برای: smooth second
تعداد نتایج: 725575 فیلتر نتایج به سال:
زیردیفرانسیل و آنالیز تقریبی روی فضاهای باناخ در این رساله با مطالعه ی دقیق مقاله proximal analysis in reflexive smooth banach spaces یک مخروط نرمال تقریبی در فضاهای باناخ بازتابی و هموار برحسب عملگر تصویر تعمیم یافته معرفی و مطالعه می کنیم. همچنین دو نوع جدید از زیر دیفرانسیل های تعمیم یافته در فضاهای باناخ بازتابی و هموار
background: organic nitrates relax all kinds of smooth muscle , not only vascular smooth muscle , a fact that has allowed the use of these drugs to treat many different aliments. objective.-the purpuse of this study was to examine prosepectively benefical effects , if any, of sublingual nitroglycerin on the pain of renal colic. design.- prospective , randomised , double blind, placebo- contoled...
In this paper, we present a method for solving the rst kind Abel integral equation. In thismethod, the rst kind Abel integral equation is transformed to the second kind Volterraintegral equation with a continuous kernel and a smooth deriving term expressed by weaklysingular integrals. By using Sidi's sinm - transformation and modied Navot-Simpson'sintegration rule, an algorithm for solving this...
Interpretation of gravity as entropic force makes some corrections in Friedmann equations. According to calculations of Easson, Frampton and Smooth, the entropic force addss correction terms to Friedmann equations. It’s shown that these corrections change the second type of singularity to the third one in Friedmann equations. Considering Friedmann equations, even without entropic force at leas...
The quadrics are all surfaces that can be expressed as a second degree polynomialin x, y and z. We study the Gauss map G of quadric surfaces in the 3-dimensional Euclidean space R^3 with respect to the so called L_1 operator ( Cheng-Yau operator □) acting on the smooth functions defined on the surfaces. For any smooth functions f defined on the surfaces, L_f=tr(P_1o hessf), where P_1 is t...
Second-order methods, which utilize gradients as well as Hessians to optimize a given function, are of major importance in mathematical optimization. In this work, we study the oracle complexity of such methods, or equivalently, the number of iterations required to optimize a function to a given accuracy. Focusing on smooth and convex functions, we derive (to the best of our knowledge) the firs...
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