首页> 外国专利> FLEXIBLE VECTOR-PROCESSING ALGORITHMS FOR NUMERICALLY SOLVING EXTREME-SCALE, LINEAR AND NON-LINEAR, PREDICTIVE AND PRESCRIPTIVE, PROBLEMS IN SCIENCE AND ENGINEERING, ON PARALLEL-PROCESSING SUPER COMPUTERS

FLEXIBLE VECTOR-PROCESSING ALGORITHMS FOR NUMERICALLY SOLVING EXTREME-SCALE, LINEAR AND NON-LINEAR, PREDICTIVE AND PRESCRIPTIVE, PROBLEMS IN SCIENCE AND ENGINEERING, ON PARALLEL-PROCESSING SUPER COMPUTERS

机译:灵活的矢量处理算法,用于数值求解并行处理的超级计算机上的极值,线性和非线性,预测和规定性科学和工程问题

摘要

A computer-implemented method for numerical solution of a geometric programming problem is described, including the computer-implemented steps of: reformulating the geometric programming problem as an equivalent generalized geometric programming optimization problem with only linear constraints, and solving the equivalent generalized geometric programming optimization problem by vector processing, including determining by computer-implemented numerical computation a solution for an unconstrained objective function whose independent vector variable is the generalized geometric programming conjugate dual of a primal decision vector variable of the geometric programming problem, and includes a variable linear combination of fixed vectors enabling the vector processing. Also described are computer-readable storage devices, computer program products, and computer systems for such numerical solution methodology.
机译:描述了一种用于几何编程问题的数值解的计算机实现的方法,包括以下计算机实现的步骤:将几何编程问题重新构造为仅具有线性约束的等效广义几何编程优化问题,以及求解等效广义几何编程优化向量处理问题,包括通过计算机执行的数值计算确定无约束目标函数的解决方案,该目标函数的独立向量变量是几何编程问题的原始决策向量变量的广义几何规划共轭对数,并且包括固定向量使向量处理成为可能。还描述了用于这种数值解方法的计算机可读存储设备,计算机程序产品和计算机系统。

著录项

  • 公开/公告号US2017024357A1

    专利类型

  • 公开/公告日2017-01-26

    原文格式PDF

  • 申请/专利权人 ELMOR L. PETERSON;

    申请/专利号US201615282682

  • 发明设计人 ELMOR L. PETERSON;

    申请日2016-09-30

  • 分类号G06F17/12;G06F17/16;G06F17/50;

  • 国家 US

  • 入库时间 2022-08-21 13:47:44

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