Modern algorithm of linear and quadratic programming in optimization and problems of deformation of structures of variable structure in contact conditions

V. Grischenko
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Abstract

Various mathematical problems, in which the goal of finding the extremum of a functional is set, belong to the problems of mathematical programming and optimization problems. Practically directed problems of finding the optimal solution are extremely numerous in economics, management, technology, and others. They are related to increasing production efficiency, reducing resource costs, improving design solutions and technological processes, reducing mass, dimensions, etc. Among them, an important role is given to the methods of limiting the maximum stresses caused by external loads. Solving such problems begins with mathematical formalization. Constructive, economic or technological indicators are chosen as variation parameters. The search for the best solution is reduced to the selection of a set of parameters that provide a stationary value of the objective function. Extreme problems of practical orientation contain equality-inequality constraints in mathematical models. In improving the technical characteristics of machines, a significant role belongs to engineering and technical workers, who find optimal options at the design stage. At the same time, an essential element of the design process is the modeling of the determining processes in structures, taking into account the main influencing factors and behavior scenarios. Optimization is an important area of applied mathematics that provides effective tools for such modeling. Universal Algorithm is proposed in work [3] – a numerous scheme for solving quadratic programming (QP) problems for calculating the optimal point of a wide range of applied problems. At the same time, the linear programming (LP) problem is considered as a partial case of the (QP) problem. That is, in the universal algorithm for setting 2 optimization problems, they are formalized in a single and convenient form of symmetric matrix dependence, which makes it possible to build a single effective algorithm based on matrix algebra operations. In particular, it allows you to consider the practical tasks of calculating VAT in constructions of a variable structure consisting of separate parts connected by one-way connections. The main goal of this work is to analyze the behavior of the algorithm when increasing the number of constraints of the inequality type, to refine the computational scheme, and to formulate conclusions. Two model problems are considered as examples of the algorithm. This is a classic "transport" problem of LP and the behavior of a model of a bridge structure with one-way connections in cables under variations of wind loads. The number of ropes has been increased to 20, and the limits of one-way connections to 40.
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接触条件下可变结构变形的优化和问题中的线性和二次编程现代算法
以寻找函数极值为目标的各种数学问题都属于数学程序设计和优化问题。在经济、管理、技术等领域,寻找最优解的实际导向问题非常多。它们涉及提高生产效率、降低资源成本、改进设计方案和技术流程、减少质量和尺寸等。其中,限制外部载荷引起的最大应力的方法具有重要作用。解决这些问题首先要进行数学形式化。选择结构、经济或技术指标作为变化参数。寻找最佳解决方案的工作简化为选择一组参数,使目标函数达到静态值。面向实际的极端问题包含数学模型中的平等-不平等约束。在改进机器的技术特性方面,工程技术人员发挥了重要作用,他们在设计阶段就找到了最佳方案。同时,设计过程的一个基本要素是对结构的决定过程进行建模,并考虑到主要的影响因素和行为方案。优化是应用数学的一个重要领域,它为此类建模提供了有效的工具。工作[3]中提出了通用算法--一种解决二次编程(QP)问题的众多方案,用于计算各种应用问题的最佳点。同时,线性规划(LP)问题被视为(QP)问题的部分情况。也就是说,在设置 2 个优化问题的通用算法中,它们被形式化为单一而方便的对称矩阵依赖形式,这使得基于矩阵代数运算建立单一有效算法成为可能。特别是,它使您可以在由单向连接的独立部分组成的变量结构中考虑计算增值税的实际任务。这项工作的主要目标是分析当不等式类型的约束条件数量增加时的算法行为,完善计算方案,并提出结论。作为算法的示例,我们考虑了两个模型问题。一个是经典的 LP "运输 "问题,另一个是在风荷载变化下单向连接缆索的桥梁结构模型的行为。绳索数量增加到 20 根,单向连接限制为 40 个。
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