tree (graph theory) 中文意思是什麼

tree (graph theory) 解釋
樹 （圖論）
  • tree : n 特里〈姓氏〉。n 1 樹〈主要指喬木，也可指較大的灌木〉。 ★玫瑰可以稱為 bush 也可以稱為 tree 2 木...
  • graph : n. 1. 【數學】曲線圖；坐標圖，圖表。2. 統計曲線。vt. 用圖表表示，把…繪入圖表。n. 膠版。vt. 用膠版印刷。n. 【語言學】1. 詞的拼法。2. 表示音素的最小字母單位。
  • theory : n. 1. 理論，學理，原理。2. 學說，論說 （opp. hypothesis）。3. 推測，揣度。4. 〈口語〉見解，意見。
  1. By analyzing the topology of an interconnected power system, chapter 3 of this thesis derives the spanning tree, and builds the corresponding minimal cut set. by combining the results from the graph theory with the reliability indices of the individual reparable components, the reliability indices at the load point can be obtained, and the reliability indices for the whole system are deduced

    本文的第三章從單個可修復元件的可靠性指標出發，在分析電網路的拓撲結構的基礎上，利用一定的演算法求出其對應的生成樹，根據生成樹和最小割集之間的對應關系，得到整個電網路的最小割集。
  2. Aimed at the current problem of pipeline layout optimization technique, the research of irrigation pipeline layout and pipe diameter optimization has been done, the gis ( geography information system ) and graph theory were first put forwarded to applyed to the design of low pressure pipeline irrigation project in the paper. with the support of gis, the minimal spanning tree theory of graph theory and 120 project theory can be applied to irrigation pipeline ' s layout optimization. at the aspect of pipe diameter optimization, simplicial method and interior - point method are been used in solve liner optimization model of pipe diameter to reach minimum project cost or a nnual working cost of low pressure pipeline irrigation

    本文主要針對當前南方地區低壓管道輸水灌溉規劃設計中存在的技術難點，開發研究先進實用的樹狀低壓輸水灌溉管網計算機輔助設計系統。首次提出了將gis （地理信息系統）和圖論技術應用於低壓管道輸水灌溉規劃設計及灌溉管網優化中，在gis支持環境下，應用圖論中的最小生成樹法和120規劃進行管道的最優化布置。建立以管道輸水灌溉系統的年折算費用最小為目標函數的管徑優化線性規劃模型，並將內點法應用於線性優化模型的求解。
  3. Abstract : in this article an optimization method is applied to de sign open - type distribution networks. graph theory technology is used. its mathem at ical model considers both the investment of constructing lines and the cost of o peration. the main idea is getting the structure of tree network that meets with the technical constraint conditions and at the same time make the annual cost mi nimum. the examples of simulation show that this method is fast and effective

    文摘:將圖論優化技術應用於配電網路的優化設計，提出了一種適合於開式配電網路規劃的優化方法.所建的數學模型綜合考慮了待建線路的投資和運行費用.求解方法是以圖論中的最短路徑問題為基礎，配合以開式網路潮流演算法，並通過可行路徑的合理變換，得出滿足技術約束條件且使年計算費用取極小值的樹狀網路結構
  4. ( 3 ) on the basis of the dimensioning principle of correctness, integrality, clearness and rationality, utilizing the modified spanning tree algorithm in graph theory to ascertain the non - functional dimensions, accomplish the dimensioning mode analysis of the part

    （ 3 ）根據尺寸標注所要求的正確性、完整性、清晰性及合理性等原則，用改進了的圖論中的生成樹演算法，確定出零件的非功能尺寸，完成零件尺寸標注模式的分析。
  5. The successful application of higher order connectedness on tree decomposition leads us to seek further implementation of higher order connectedness to other branches of graph theory

    而成功地應用高階邊連通性證明樹分解中的問題，使我們進一步尋找高階連通性在其它圖論問題中的應用。
  6. If the reasonable multicast tree can be constructed, we can consume least network resources and achieve our task. this paper stepwisily gives a comprehensive study to multicast tree problem on the base of graph theory

    本篇論文在現代圖論研究的基礎上，由簡單到復雜，逐步深入，對多播生成樹問題盡可能的作出一個整體的，全面的探索和研究。
  7. 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。
  8. This thesis transforms the composition of learning content into the logic cluster of correlative concepts in the concept layer, and proposes the idea of learning content hierarchy graph. by means of the and / or graph of artificial intelligent theory, we can transform the learning content into the problem of and / or tree further. hence, we conclude that the learning content is a tree, the root is learning goal, the branch node is correlative concept, and the leaf is media material

    本文將具體的學習內容組織轉化成在概念層上相關概念的邏輯聚集，提出了學習內容層次圖思想；經過分析發現學習內容層次圖的組織方式和人工智慧理論中的and / or圖之間存在著相似性，將學習內容的獲取轉化為and / or圖中的and / or樹問題；最終確立了學習內容的獲取就是以樹根為學習目標，以分枝節點為相關概念組織，以樹葉節點為對應的媒體素材的邏輯聚集。
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