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[Other] 21 DL : 0: 家电维修管理系统 E语言开发 “家电维修管理系统”软件。这是专为家电维修行业定制的集维修、元件管理、元件销售、店面日常工作记录及维修售后服务管理为一体的专业软件。软件的最大特点，紧紧围绕家电维修行业的实际需要。元器件管理采用表格和图形结构，直观方便，界面亲切友好。采用了图形模式实现大量复杂枯燥的经营分析，使管理分析乐趣无穷。是个人和老板公司的好助手-Appliance maintenance management system E language development appliance maintenance management system software. This is specifically for the home appliance maintenance industry set customized maintenance, components management and component sales, record store day-to-day management and maintenance of after-sales service into a professional software. The most important feature of the software, tightly around the appliance repair industry, the actual needs. Components management structure of the use of tables and graphics, intuitive convenient, cordial and friendly interface. Using graphics mode to achieve a large number of complex boring business analysis, management analysis to make fun, as usual. Individuals and companies is a good assistant boss
Date : 2025-12-29 Size : 1.43mb User : red
[Other] jiadianweixiu DL : 0: 家电维修管理系统”软件。这是专为家电维修行业定制的集维修、元件管理、元件销售、店面日常工作记录及维修售后服务管理为一体的专业软件。软件的最大特点，紧紧围绕家电维修行业的实际需要。元器件管理采用表格和图形结构，直观方便，界面亲切友好。采用了图形模式实现大量复杂枯燥的经营分析，使管理分析乐趣无穷。是个人和老板公司的好助手。 -Appliance maintenance management system" software. It is designed for appliance repair industry custom set of maintenance, component management, component sales, stores daily work records and maintenance service management as one of professional software. Software has been characterized by tightly around the appliance repair industry s real needs. Tabular and graphical component management structure, easy and intuitive, friendly interface. Using the graphics mode to achieve a large number of complex boring business analysis, management analysis to make fun. Is a personal assistant and the boss s good. "Appliance maintenance management system" you have the maintenance staff salaries and performance management, margin accounts. She gives you a more complete accounting system, monthly reports, daily report, historical reports, and a variety of integrated query and statistical reporting capabilities, to maximize your management efficiency. Software supp
Date : 2025-12-29 Size : 246kb User : 微蜂窝
[Other] CH9 DL : 0: The coefficient of a term may be any number from a specified set. If that set is the set of real numbers, we speak of "polynomials over the reals". Other common kinds of polynomials are polynomials with integer coefficients, polynomials with complex coefficients, and polynomials with coefficients that are integers modulo of some prime number p. In most of the examples in this section, the coefficients are integers.
Date : 2025-12-29 Size : 59kb User : Alan
[Other] 数学分析 DL : 0: 卓里奇数学分析第一卷。我们本科教的微积分忽视了对于集合尤其是数集（自然数、有理数、实数、复数）结构的讨论，而且微积分很多概念如连续、导数、黎曼积分阐述不明，容易在推导中导致错误结论，请参看上册(Charidge is the first in mathematical analysis. We ignore the science of calculus for set number set (especially natural numbers, rational numbers, real and complex) structure are discussed, and a lot of calculus concepts such as continuous, derivative, integral of Riemann is unknown, easily lead to wrong conclusions in the derivation, please refer to the list)
Date : 2025-12-29 Size : 29.69mb User : pistils
[Other] 标准pso代码-鲁 DL : 0: Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global optimization is an active research topic in the real-parameter optimization. Based on the analysis of the characteristics of large scale problems, a stochastic dynamic cooperative coevolution strategy was proposed. The strategy was added to the dynamic multi-swarm particle swarm optimization algorithm. And the dual grouping of population and decision variables was realized. Next, the performance of the novel optimization on the set of benchmark functions provided for the CEC2013 Special Session on Large Scale optimization is reported. Finally the validity of the algorithm was verified by comparing with other algorithms
Date : 2025-12-29 Size : 77kb User : DirtyMind
[Other] PSO DL : 0: Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global optimization is an active research topic in the real-parameter optimization. Based on the analysis of the characteristics of large scale problems, a stochastic dynamic cooperative coevolution strategy was proposed. The strategy was added to the dynamic multi-swarm particle swarm optimization algorithm. And the dual grouping of population and decision variables was realized. Next, the performance of the novel optimization on the set of benchmark functions provided for the CEC2013 Special Session on Large Scale optimization is reported. Finally the validity of the algorithm was verified by comparing with other algorithms.
Date : 2025-12-29 Size : 12.28mb User : DirtyMind
[Other] 求解大规模问题的协同进化动态粒子群优化算法 DL : 0: Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global optimization is an active research topic in the real-parameter optimization. Based on the analysis of the characteristics of large scale problems, a stochastic dynamic cooperative coevolution strategy was proposed. The strategy was added to the dynamic multi-swarm particle swarm optimization algorithm. And the dual grouping of population and decision variables was realized. Next, the performance of the novel optimization on the set of benchmark functions provided for the CEC2013 Special Session on Large Scale optimization is reported. Finally the validity of the algorithm was verified by comparing with other algorithms
Date : 2025-12-29 Size : 541kb User : DirtyMind
[Other] DMS_PSO DL : 0: Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global optimization is an active research topic in the real-parameter optimization. Based on the analysis of the characteristics of large scale problems, a stochastic dynamic cooperative coevolution strategy was proposed. The strategy was added to the dynamic multi-swarm particle swarm optimization algorithm. And the dual grouping of population and decision variables was realized. Next, the performance of the novel optimization on the set of benchmark functions provided for the CEC2013 Special Session on Large Scale optimization is reported. Finally the validity of the algorithm was verified by comparing with other algorithm
Date : 2025-12-29 Size : 82kb User : DirtyMind