simplex method of linear programming 中文意思是什麼

simplex method of linear programming 解釋
線性規劃中的單純形法
  • simplex : adj. 單純的,單一的。 【無線電】單工的;單缸的。n. (pl. -plexes, -plices ) 【數學】單純形。
  • method : n 1 方法,方式;順序。2 (思想、言談上的)條理,規律,秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  • of : OF =Old French 古法語。
  • linear : adj. 1. 線的,直線的。2. 長度的。3. 【數學】一次的,線性的。4. 【動、植】線狀的;細長的。5. 由線條組成的,以線條為主的,強調線條的。
  • programming : 編程序的
  1. Commonsensible economic description of dual simplex method for linear programming

    線性規劃對偶單純形法的常識性經濟解釋
  2. Dual simplex method of linear programming with bounded variables

    變量有上界的線性規劃的對偶單純形方法
  3. To the inequality constrained least squares adjustment problem, this paper converts many inequality constraints into one equality constraint by using aggregate function of non - linear programming ; a basic augmented lagrangean algorithm can obtain the solutions for equality constrained non - linear programming problem and the solutions are identical to those obtained by the bayesian method and / or simplex algorithm

    摘要對不等式約束最小二乘平差問題,藉助非線性規劃中的凝聚約束方法把多個不等式約束轉化為一個等式約束,採用拉格朗日極值法求解,解與貝葉斯解或單純形解一致。
  4. Computer resolving method of simplex algorithms in linear programming

    線性規劃問題中單純形法的計算機求解
  5. In contrast to existing simplex method, this method has several peculiarities as follows : to begin with, applying it to solve linear programming problem. one need n ' t introduce any additional variable such as relaxing variable, artificial variable and other parameters, so that calculation is subtracted on a large scale. in addition to this, as a result of its higher degree of structuralization, this algorithm can be more easily transformed into program language and, of course, more quickly performed by computers

    與現有的單純形法相比,新演算法具有如下主要特徵:第一,求解過程不需要引進諸如松馳變量、人工變量等參變量參與運算,計算量大大減少了;第二,新演算法較單純形法的結構化程度高,更容易轉化為程序語言,進而在計算機上更快地得以實現;第三,新演算法在運算過程中不會引起攝動現象。
  6. At last, a method to fuzzy linear programming with fuzzy constraints is presented, and it is illustrated that the conclusion of this paper are correct and this algorithm is more simplex algorithm by numerical example

    最後給出了約束條件帶有模糊性的模糊線性規劃的相應解法,並用實例說明了本文結論的正確性與演算法的簡捷性。
  7. Since the development of the simplex method many people have contributed to the growth of linear programming by developing its mathematical theory, devising efficient computational methods and codes, exploring new applications, and by their use of linear programming as an aiding tool for solving more complex problems, for instance, discrete programs, nonlinear programs, combinatorial problems, stochastic programming problems, and problems of optimal control

    由於單純形的發展,很多人致力於線性規劃的進步,通過發展它的數學理論、設計高效的計算方法和規則、探索新的應用,以及把線性規劃的使用作為解決更復雜問題的輔助工具,比如,離散規劃,非線性規劃,組合問題,隨機規劃問題和最優控制問題。
  8. Based on the above - mentioned matter, the application of toc to the product mix problem was studied home in this article. the product mix decision problem was divided into simplex resource constrains and manifold resources constrains by enterprise ’ constrain resources, and their solution steps according to toc ’ s five key steps ameliorated were presented. some material examples were solved by toc ’ s five steps technique, linear programming ’ s simplex method and familiar accounting technique ( variational cost technique and full cost technique )

    文章依據企業約束資源的多寡,將產品組合決策問題分單一資源約束與多種資源約束兩種情況進行了討論,通過對約束理論五步驟法的適當調整,給出了它們各自的約束理論解法的解題步驟,結合具體的算例,分別利用約束理論五步驟法、線性規劃的單純形解法和常見的會計學的變動成本法和完全成本法進行了求解,並對約束理論解法、線性規劃解法和會計學解法進行了適當的比較分析,證明了產品組合決策問題約束理論解法的有效性和先進性。
  9. Chapter five deals with some specializations of the simplex method and the development of optimality criteria in linear programming

    第五章處理一些專門的單純形法和建立了線性規劃的最優準則。
  10. The consistency of the big m method and two - phase method in idea, auxiliary linear programming problem, initial feasible basis, initial simplex tableau and optimality criterion, etc., is analyzed

    摘要分析了大m法與兩階段法在思想方法、輔助線性規劃問題的構造、初始可行基、初始單純形表、最優性檢驗和演算法步驟等方面的一致性。
  11. The method proposed in this paper is a generalization of basis deficiency - allowing variation of the simplex method to linear programming problems with bound constraints

    為克服單純形演算法中退化現象帶來的困擾,本文在文[ 1 ]的基礎上進一步提出虧基有界變量單純形演算法,並證明了演算法的收斂性
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