數組預置值 的英文怎麼說
中文拼音 [shǔzǔyùzhìzhí]
數組預置值
英文
array initialization-
To analyze some key technologies of optical network relative with rwa in detail, such as transmission, switching and internetworking ; to emphasize on the research of function, fabric and performance of optical cross - connection ; to carry out numerical simulations for crosstalk introduced by optical cross connect and to present measurements for suppressing it such as doubly filtering, fixing optimum decision threshold and appropriately choosing the number of multiplexed wavelengths ; 3. to research the fundamental principle and some problems relative with rwa, including the type of optical network, the type of traffic, the type of service, the survivability of optical network ; to classify and compare rwa algorithms and particularly research some dynamic rwa algorithms ; 4. to present reserved light - path and classify network resource such as used, unused and reserved status, to emulate establishment of all - optical connection in optical network through modified rwa algorithm and show effectively reducing setup time of all - optical connection utilizing reserved light - path ; to research rwa algorithms of multi - fiber network, to present new link weight functions dependent on node degree, unused fiber ( s ) per wavelength - layer and routing policies, to perform emulation of rwa based wavelength layer graph applying new link weight functions and show them make algorithms better performance and network lower blocking rate ; 5
詳細分析了與rwa相關的光網路關鍵技術，包括傳輸、交換、組網等，重點研究了光交叉連接的功能和結構、性能，對其引入的串擾進行了詳細分析，選擇恰當的器件參數進行了數值模擬，並提出了抑制措施（如雙重濾波、優化判決門限、選擇恰當的復用波長數） ; 3 .研究了光網路的r認叭的基本原理、與r認叭的幾個相關問題（光網路類型、業務類型、流量類型、光網路生存性） 、 r認人演算法的分類和比較，具體研究了幾種動態r場人演算法; 4 .研究了以全光連接建立時間為優化目標的r認認演算法，提出預置光路的概念，對網路資源進行狀態分類（佔用、未佔用、預置） ，利用改進的r認叭演算法模擬，預置光路可為部分新到的連接請求快速建立連接，從而提高網路性能;研究了以多光纖網路連接阻塞率為優化目標的r認城演算法，提出了以節點度數、每個波長分層的空閑光纖數以及路由策略決定的幾種鏈路權重函數，利用基於波長分層圖模型的并行r場人演算法模擬，利用新的鏈路權重函數使得演算法具有更優的性能，使網路具有更低的連接阻塞率。Finally a set of equations with initiate values for boundary value problem is established where the velocity potential and its normal derivative are unknowns. because the model includes the effects of both the time and space to the velocity potential of free surface, it can be applied to strong nonlinear wave. as examples, solitary wave is computed in the numerical flume
推導給出計算域內以所有節點波勢函數和波面位置高度的時間增量為未知量的線性方程組，並同時考慮時間因素和空間變位對波面勢函數的影響，在預設的計算精度下，通過時步內的循環迭代逐一確定每個時步上的波面運動位置，從而建立了一種可適于求解強非線性波浪變形計算的數值模式。Then, this paper empirically tested the validation and predictive accuracy of different var risk management model in the domestic financial market. finally, with the analysis of modem financial risk management development trend and the current domestic financial risk management situation, this paper made a prospect for the application of this model in the construction of domestic financial risk management system. through the analysis, the main conclusions are as follows : ( l ) the traditional mean - variance model is the special example of the portfolio selection based on the var risk management model for the case that the returns of the portfolio are assumed to be normally distributed ; compared with the mean - variance model, the var risk management model is more comprehensive and accurate in the measurement of the portfolio risk, so based on the var model, the investors can allocate the asset more effectively. ( 2 ) the var risk management model can provide the timely and comprehensive risk information for the top risk manager, so it is very helpful to the improvement of total risk management efficiency. ( 3 ) based on the var model, the raroc performance valuation approach can reflect the real performance of the portfolio manager and provide the coherent standard for the allocation of risk limitation and the construction of the incentive compatibility constraint mechanism in the financial instiutions
通過研究分析，本文主要得出如下結論： （ 1 ）傳統的markowitz均值? ?方差模型僅僅是在資產組合收益率正態分佈假設條件下基於var風險管理模型進行資產組合選擇的特例，與均值? ?方差模型中的方差風險度量方法相比， var風險管理模型能夠更全面、更貼切地衡量資產組合的風險，且基於此模型能夠更有效地進行資產配置決策； （ 2 ） var風險管理模型能夠滿足更高層次風險管理者對風險信息的需求，有助於整體風險管理效率的提高； （ 3 ）基於var風險管理模型的raroc績效評價能夠反映資產組合管理人的真實業績，從而為金融機構風險限額的分配和激勵約束機制的制定提供統一的標準； （ 4 ）國內證券市場資產組合收益率服從正態分佈的假設明顯不成立，實證檢驗表明基於資產組合收益率正態分佈假設條件下的方差? ?協方差模型對國內資產組合風險的預測存在較大的偏差，由於文中證明在收益率正態分佈假設條件下基於方差? ?協方差模型進行資產組合選擇的結果等價于markowitz的均值? ?方差模型，因此，均值? ?方差模型對國內資產組合風險的預測同樣會存在著較大的偏差，而半參數var風險管理模型則能夠取得較好的預測衡量效果； （ 5 ） var風險管理模型符合未來金融風險管理的發展趨勢，基於var風險管理模型建立內容提要風險限額內控體系、風險信息披露體系和業績評價體系，並進行金融監管，將有助於國內金融機構內部風險管理方法和外部監管技術跟上國際金融風險管理的發展潮流。
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