SYNOPSIS The present article is the first in a series of contributions intended to demonstrate the application of linear programming in forestry. Three examples are used to illustrate the diet problem.doi:10.1080/00382167.1982.9628830K. von GadowR. S. WalkerSouth African Forestry JournalVON GADOW, K., 1982. ...
22 使用二元變數 The use of binary variables in constraints 一個變數之決策結果分為 “yes” / “no”, “good” / “bad” 等. 皆為二元分類 說明 23 範例 – 以二元變數 Y 1,Y 2,Y 3 表示三家工廠的每一家是否要建 (Y i = 1) 或不建 (Y i = 0) 需求 Requirement 二元 Binary 表示法 ...
Bayes' theorem is often applied in problems that essentially involve finding the accuracy of atesting device, given the sensitivity of the device. It is shown how linear programming can be used to determine (in a certain sense) the minimum sensitivity needed for a given prescribed minimum ...
Linear Algebra with Programming ApplicationsThe R language has several built-in matrix algebra commands. This proves useful for analysts who wish to write their own estimators or have other problems in linear algebra that they wish to compute using software. In some instances, it is easier to ...
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In a recent paper [2], we prove an abstract existence result for the Coulomb friction problem in discrete time. This problem must be solved at each time step when performing a simulation of the dynamics of a mechanical system involving unilateral contact
Optimization of selective maintenance problem with stochastic durations in mission-oriented system subjecting to s-dependent competing risks Xiaoning Feng, Xiaohui Chen, Lin Zhang, Youjun An Article 123068 Article preview select article Temporary safety zone site selection during haze Pollution: An integra...
Linear approximation of the quantile–quantile plot for semantic labelling of numeric columns in tabular data Ahmad Alobaid, Oscar Corcho Article 122152 Article preview select article A new bi-stage interactive possibilistic programming model for perishable logistics distribution systems under uncertainty Rese...
which can instantly generate code for basic functions. This enables developers to shift their focus to more strategic design and complex problem-solving roles. The technology also automates routine tasks, such as coding, debugging and testing, completing these tasks in a fraction of the time, usua...
Linear Programming with Statistical Applicationsdoi:10.1080/00224065.1990.11979216Wan S. ShinJournal of Quality Technology