entropy density 中文意思是什麼
entropy density
解釋
熵密度-
The entropy density is constant ahead of the shock.
沖擊波前方的熵密度是恆定的。 -
The entropy or number of states of system or subsystem are closely related to interaction of particles and energy level distribution, therefore, to study the temperature dependence of the specific heat may supply some important and useful microscopic information which may play an important role in understanding electronic structure, density of state, phonon spectrum etc. the specific heat measurements at low temperatures also play important roles in the finding of the third law of thermodynamics, the quantum theory of solid and bcs theory for superconducting etc. moreover, specific heat measurements help us to understand the different kinds of phase transitions ( such as : structural phase transition, magnetic phase transition, superconducting phase transition etc. ) and the scaling behavior near the critical point
系統、子系統的熵或微觀狀態數與微觀粒子間的相互作用及能級分佈密切相關，因此研究比熱與溫度的依賴關系能夠提供被測量系統許多極其有用的微觀信息，對理解固體的電子結構、電子態密度、聲子譜等起著十分重要的作用。低溫比熱的測量和研究對熱力學第三定律、固體量子理論和超導bcs等理論的建立起到了積極的推動作用。比熱研究還有助於認識各類相變如結構相變，磁性相變，超導相變等及臨界點附近的標度規律。 -
More general quadratic constraints and entropy constrains of the density programming will be dealt with in this article. the two problems are widely applied in information theory, statistical mechanics, insurance business and game theory
本文討論比mdi問題更普遍的帶有二次約束和熵密度約束的廣義熵密度規劃問題，這兩類問題在信息論、統計力學、對策論和保險業中有著廣泛的應用。 -
The strong deviation theorems are new type theorems established by using the notion of the likelihood ratio. professor liu wen frist applied an analysis method in solving a class of strong deviation theorems for a sequense of random variables. later professor liu wen studied the shannon - mcmillan theorem in information theorems [ 2 ] - [ 8 ] and deviation theorems of non - negative continuous random variables [ 10 ] - [ 11 ] by using the analytic technique and obtained some strong deviation theorems. the chapter 2 of the paper studied a class of strong deviation theorems of function of two variables of information sources and obtained a further study of shannon - mcmillan theorem of markov information sourses by definning the using concept of entropy density divergence. the chapter 3 of the paper studied a class of strong deviation theorems of non - negative continuous random variables by using tool of transformation of laplace. information theory, as a branch of applied probability theory, becomes more and more important in appling
劉文教授在解決大數定律中，用首創的分析方法得到一類隨機變量序列的強偏差定理。后來，劉文教授把分析方法用於信息論中shannon - mcmillan定理和連續型隨機變量的偏差定理的研究，得到了若干強偏差定理。本文的第二章是引進任意信源相對熵密度偏差的概念，並利用這個概念研究任意信源二元函數的一類強偏差定理，得到了馬氏信源shannon - mcmillan定理的一個推廣。 -
We also prove that the radius of a rotating spherically symmetric star, with given constant angular velocity and constant entropy, is uniformly bounded independent of the central density. this is different to the case of the non - rotating star
非常有趣的是，當角速度和熵函數都是常數時，旋轉對稱星體的半徑關于中心密度是一致有界的，這與非旋轉星體是截然不同的。 -
In contrast to information entropy, the algorithm method of antibody density based on vector distance is simple and the speed of convergence is fast
摘要基於矢量矩的抗體濃度計算方法，其演算法較基於信息熵的簡單、收斂速度快。
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