explicit algorithm 中文意思是什麼
explicit algorithm
解釋
顯式演算法-
Simulation of penetration test of armoured plate is presented by explicit dynamics algorithm
摘要採用顯式動力學演算法對裝甲材料侵徹試驗的過程進行數值模擬研究。 -
This paper is to study harmonic maps into symplectic groups and local isometric immersions into space forms by means of the soliton theory. by realizing an action of the rational loop group on the spaces of corrsponding solutions, we get the backlund transformation and the darboux transformation, and thereby we give the explicit construction for harmonic maps into symplectic groups and local isometric immersions into space forms via purely algebraic algorithm
主要用孤立子理論研究到辛群的調和映射和到空間形式的局部等距浸入，通過有理loop群在其解空間上的dressing作用，給出b icklund變換和darboux變換的顯式表示，從而獲得到辛群及其對稱空間的調和映射和到空間形式的局部等距浸入的純代數構造方法。 -
In chapter 2, the first and the second section give explicit explanations of how to use split - step fourier transformation ( ssft ) algorithm and finite - difference methods to solve nonlinear equation. a code table, in which a list of normalized transmission formula is included, is given to facilitate programming
第二章，前兩節詳細介紹了如何用分步傅里葉變換演算法和有限差分法實際求解非線性方程，並給出了求解光束、脈沖及脈沖光束的歸一化方程編碼表，供編程參考。 -
Three finite - difference methods, i. e., stagger grid, implicit and explicit algorithms, are analyzed in detail. multi - grid algorithm is firstly introduced in elastic wave simulation, to solve for the stability problem inherent in stagger grid and implicit algorithm, also for the efficiency problem inherent in explicit algorithm, and the precision, stability and efficiency for simulation of elastic wave arc increased by multi - grid method. phase - delay method is provided to effectively absorb boundary reflection and increase efficiency for wave motion simulation, based on phase delay and amplitude decaying features along wave propagation
在水平分層介質接收函數的波形反演研究的基礎上，本文系統闡述了非均勻介質中彈性波傳播數值模擬常用的三種有限差分方法：顯式差分、隱式差分和交錯網格法，首次將多重網格演算法應用於彈性波方程的數值模擬問題，克服了交錯網格法和顯式差分法穩定性差，以及隱式差分法計算效率低的缺點，大大提高了彈性波數值模擬的精度、穩定性和計算效率。 -
The momentum equations are integrated in time using the four - stage explicit jameson runge - kutta algorithm and discretized in space using fourth order accurate compact scheme as well as the pressure poisson equation
動量方程的時間導數採用四步jamesonrunge - kutta法，空間導數和壓力poisson方程均採用四階高精度緊致格式。 -
Numerical fluxes considered in the explicit portion of the algorithm were evaluated by an implicit high - order compact scheme to augment stability. meanwhile, an implicit high - order compact numerical filter was used
顯式一邊的空間導數採用具有較高精度和良好數值穩定性的隱式高階緊致差分格式，同時採用適于低馬赫數流動計算的隱式高階數值過濾方法。 -
Considering chance constrained programming is a well developed stochastic optimization method which can describe risk in an explicit manner, with the premised market trading protocols, a chance constrained programming based model for describing the optimal bidding strategies of distribution companies in a pool co - type transmission and distribution separated electricity market is presented, and solved by genetic algorithm
鑒于機會約束規劃作為一類快速發展的隨機優化方法能以顯式的形式刻畫風險，針對以聯營體為基礎的輸配分開電力市場，在假設的市場交易規則基礎上，構造了在現貸市場中基於機會約束規劃的供電公司最優報價策略模型，並採用遺傳演算法求解。 -
We also compute naca0012 airfoil and certain three - foil flow field separately with explicit 4 - step runge - kutta scheme and the implicit lu - sgs scheme and results show the latter is much more efficient. in the end, the capability of the algorithm to deal with multi - bodies in relative movements is demonstrated by a dropping drank problem. it turns out that the unstructured overset grid is valuable and promising in practical application
同時為了驗證隱式lu - sgs格式的收斂效果，我們對基於單塊網格的naca0012翼型與某三段翼型在不同的來流條件下，分別用帶隱式的lu - sgs格式與顯式的四步runge - kutta格式的解算器進行了數值模擬。 -
A new step - by - step integral procedure of dynamics equations is presented. the general expression of the solution of dynamics equations is obtained on the basis of the homogenous analytical solutions of dynamics equations and duhamel integration. the explicit analytical integration algorithm, which is characterized by fourth - order accuracy, self - starting and self - correcting, is employed to discretize the equivalent load terms
另外提出了求解動力學方程的一個新型的逐步積分法，基於線性動力學方程的解析齊次解及duhamel積分，構造出適用於非線性動力學方程解的一般積分表達式，對包含非線性項的非齊次項採用插值近似的方法，得到一個單步顯式、自起步、預測校正具有四階精度的解析逐步積分演算法。 -
Firstly explicit algorithm is found that give the unique cubic ph that solves a geometric hermite interpolation problem
首先本文給出了三次ph曲線g ~ 1hermite插值問題的演算法，這個演算法是用復數形式表示的，使插值公式比較簡單。 -
An alternate proof about its existence and uniqueness and its explicit represention are given, especially the rational interpolation formulas for simple konts and double konts, and the algorithm complexity in case of double konts is improved from o ( n ~ 2 ) to o ( n )
首先，介紹了cv （ cauchy - vandermonde ）有理函數插值公式，給出了cv有理函數空間上插值問題解的存在唯一性定理的另一種簡單證明和顯式表示 -
Explicit matrix representation for nurbs curves and surfaces and its algorithm
曲線曲面的顯式矩陣表示及其演算法 -
In this paper, to resolve the coupling phenomena between temperature and humidity in wood drying system, a bp neural network based pid controller is proposed and applied to wood drying system. the architecture and learning algorithm of the proposed controller is more simpler and the physical meanings of the input layer ' s neurons and output layer ' s neurons are explicit. based on predefined control rules and self - learning, the bp network changs the scaling integral and differential parameters, therefore is able to control the variants using classical pid control algorithms and at the same time, decoupling control is implemented as well during the control procedure
本文針對木材幹燥過程中溫、濕度耦合的現象，提出一種將新的基於bp神經網路的pid控制器應用於木材幹燥控制系統的方案，其結構和學習演算法相對簡單，輸入層和輸出層神經元物理意義明確；它根據設定的某一控制規律，通過網路的自學習，調整pid控制器的比例、積分和微分參數，從而利用經典的pid控制演算法得到相應各變量的控制量參與控制，並在該過程中實現解耦控制，而不用給定樣本信號進行在線的學習。 -
Abstract : constant components and output opened ports in the result of high - level synthesis lead to explicit redundancy in gate - level technology mapping. explicit redundancy can not improve the performance, but increases power consumption, enlarges circuit area and decreases its testability, so it should be removed. this paper proposes a queue loop optimization algorithm to remove explicit redundancy completely which decreases the circuit area and improves the testability
文摘:高級綜合結果中常量元件和輸出懸空埠導致門級工藝映射結果中存在顯式冗餘.顯式冗餘無助於提高電路性能，反而增加功耗，降低電路的可測試性，使電路面積增大，應予消除.文中提出了顯式冗餘的隊列循環優化演算法，完全消除了此類冗餘，從而有效地減少了生成電路的基片面積，提高了電路的可測試性 -
The simulation and test have been carried out for a metallic photonic bandgap ( mpbg ) reflector antenna, with an explicit method as well as a genetic algorithm
採用一種快速的計算方法，並結合遺傳優化演算法，進行了金屬光子晶體（ mpbg ）反射面天線的模擬與實驗。 -
By means of an integral expression of non - linear dynamics equation an explicit precise integration algorithm with four order accuracy and self - correct and self - starting to solve this equation is given. this method is adapted to solve the non - conservative system with multi - dof and strong nonlinear. the non - linear dynamic equations are divided into some blocks or groups
給出了求解非線性動力學方程的精細積分表達式，利用插值近似該方程的非線性項，得到一個具有四階精度並且是單步顯式、自起步、預測-校正的lagrange （或hermite ）插值精細積分演算法，適于強非線性、非保守系統。 -
This dissertation proposes an algorithm to detect edges and extract contours from medical images based on quadric spline wavelets transform. the algorithm can generate single, continuous and close contours. there are two main methods of surface reconstruction ? explicit connecting contours method and implicit function method
利用小波變換良好的局部化特性和其固有的多尺度特性，具體針對醫學圖象邊緣輪廓提取的特點，提出一種基於二次樣條小波變換的邊緣檢測和輪廓提取方法，提取出單像素和連續封閉的邊緣輪廓。 -
Abstract : an integrating model combining the artificial neura l network with the linear arx model and its identification method is proposed. based on that model, a multivariable nonlinear predictive control algorithm is persented. the algorithm employs the result of the linear predictive control, obtains explicit nonlinear optimal controlling inputs and doesn " t need on - line numerical optimizing which is necessary in general nonlinear model ( including ann model ) predictive control. that greatly decreases on - line computing consumption, strengthens the reliability of the algorithm and the stability of the system. the simulation results in cstr are shown
文摘:提出了一種由人工神經網路與線性arx模型相結合的集成模型，給出了其辨識訓練方法.以此模型為基礎，提出了一種多變量非線性預測控制演算法.它利用線性預測控制的成果，得到一解析式的非線性優化控制輸入，避免了通常非線性模型（包括普通人工神經網路模型）預測控制所需的在線數值尋優計算，節約了在線計算時間，提高了演算法的可靠性和穩定性.進一步給出了在cstr反應器上的模擬實驗結果 -
To order to solve above problems, we design a novel rate - based multicast congestion control scheme - rbmcc, which uses the active explicit congestion indication and representative - based feedback control scheme to inform the source of the status of the network, and alternate the send rate by adjusting the packet intervals between packets. the goal of the dynamic congestion control algorithm is to make the entire system responsive to the changes as rapidly as possible in the offered loads or available bandwidth without getting into an oscillating behavior
針對上述演算法中存在的動態性、靈敏性以及由之引起的公平性等問題，本文第3章設計了一種新的基於速率的組播擁塞控制機制? ? rbmcc ，該演算法利用積極的顯式擁塞指示，基於代表的反饋機制，通過調節包與包的發送間隔來改變數據的發送速率，動態地自適應網路擁塞狀態的改變。 -
So this article put forward a theory that the optimal problems can be summed up to the mathematic and computing models of state space search of optimal problems. this conclusion unifies the dijstra algorithm used in finding shortest path of traditional explicit graphs and the optimal search of implicit graphs, the search of graph and the search of graphs " tree into a common model and algorithm
本文提出了將優化問題歸結為狀態空間最優化搜索問題的數學模型和通用演算法，將傳統的在顯式圖中求最短路的dijstra演算法與隱式圖的優化搜索，隱式圖搜索與隱式樹搜索全部統一到同一個模型和演算法中去。
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