FounderIsShadowWalker/particalAniamtion
粒子动画 (⭐ 81)
粒子动画 (⭐ 81)
Dec 11, 2015 · Are particle and partical the same? When I check these two words in my dictionary at dict.cn, they look totally the same. Is there any difference or are they totally interchangable?
Recently, Stech found form factor relations for heavy to light transitions based on two simple dynamical assumptions for spectator partical. In this work we generalize his approach to the case of baryons and find that for $Λ_{Q}\toΛ$ ($Q=b$ or $c...
Quantization is a widely-used compression technology to reduce the overhead of serving large language models (LLMs) on terminal devices and in cloud data centers. However, prevalent quantization methods, such as 8-bit weight-activation or 4-bit weigh...
The geometrical phase is shown to be integral of motion. Deformation of particle distribution function corresponding to nonstationary Casimir effect is expressed in terms of multivariable Hermite polynomials. Correction to Planck distribution due to...
I feel like rocket launchers if course are still awesome, obviously. But, I'll tell you what is shocking to me... The Osteo Striga. Hear me out, doing VoD last night I used it for fun on the caretak...
The method of flow equations is applied to QED on the light front. Requiring that the partical number conserving terms in the Hamiltonian are considered to be diagonal and the other terms off-diagonal an effective Hamiltonian is obtained which redu...
The motion of a nonlinearly oscilating partical under the influence of a periodic sequence of short impulses is investigated. We analyze the Schrodinger equation for the universal Hamiltonian. The idea about the emerging of quantum chaos due to the...
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In this paper, we prove the Hamilton-Tian conjecture for Kähler-Ricci flow based on a recent work of Liu-Székelyhidi on Tian's partical $C^0$-estimate for poralized Kähler metrics with Ricci bounded below. The Yau-Tian-Donaldson conjecture for the...
Points: 2 | Comments: 0 | Author: StartupSven
Graduation Project with one team member - Feature Selection by using Binary Partical Swarm Optimization with Opposition Based Learning (⭐ 13)