步履蹒跚 发表于 2025-3-28 17:55:45
http://reply.papertrans.cn/15/1467/146683/146683_41.png通情达理 发表于 2025-3-28 20:57:59
The Neuron – Building Block of the Brain 1] and vanish at its endpoints. Our extension is threefold: We obtain sharp V.A. Markov-type estimates for all single coefficients as well as sharp Szegö-type estimates for consecutive pairs of coefficients of such polynomials, and both these estimates imply Schur’s inequality for the leading coeff别名 发表于 2025-3-28 23:39:10
http://reply.papertrans.cn/15/1467/146683/146683_43.png拱形大桥 发表于 2025-3-29 04:08:31
http://reply.papertrans.cn/15/1467/146683/146683_44.pngcraving 发表于 2025-3-29 09:35:28
http://reply.papertrans.cn/15/1467/146683/146683_45.png壮观的游行 发表于 2025-3-29 13:07:54
Phase Locking via Sinusoidal Couplingsl equations. We study problems connected with solvability, construction of high order finite difference and finite sums schemes, error estimation and investigate the order of arithmetic operations for finding approximate solutions. Corresponding results refined and generalized well-known classical aBallerina 发表于 2025-3-29 16:04:35
The Neuron – Building Block of the Brainering of a time-harmonic E-polarized electromagnetic plane wave. We propose an inverse algorithm that extends the approach suggested by Kress and further investigated by Kress and Serranho and Serranho for the case of the inverse problem for a perfectly conducting scatterer. It is新奇 发表于 2025-3-29 19:51:02
Phase Locking via Sinusoidal Couplings, appears nonlinearly in the boundary conditions. We focus on the case where the boundary condition is given by a cubic equation in .. We first describe the problem by a matrix equation with nonlinear variables such that solving the DSLBVP is equivalent to solving the matrix equation. We develop met增长 发表于 2025-3-30 03:54:06
http://reply.papertrans.cn/15/1467/146683/146683_49.pngNOCT 发表于 2025-3-30 05:00:00
Integrate and Fire Models (IFM)vergence of the underlying solver methods. To address this complication, we construct a preconditioner that is robust with respect to contrast size and mesh size simultaneously based on the preconditioner proposed by Aksoylu et al. (Comput. Vis. Sci. 11:319–331, 2008). We examine the performance of