optimality

简明释义

英[ˌɒptɪˈmælɪti]美[ˌɑːptɪˈmælɪti]

n. [数] 最佳性

英英释义

单词用法

同义词

反义词

例句

1.By the alternative theorem, the optimality conditions of vector extremum problems with generalized inequality constraint are established in linear space.

运用此定理，在线性空间中建立了带广义不等式约束的向量极值问题的最优性条件。

2.A typical heuristic algorithm, TDS, can generate optimal schedule in scheduling length under optimality condition.

TDS等典型算法在优化条件下可得到该问题调度长度上的最优解。

3.For control process in the systems of differential equation with constant lag necessary condition of optimality of singular control is found.

对带有常数滞后的微分方程系统的控制过程，我们给出了最优性的必要条件。

4.Among classical optimization algorithms, progressive optimality algorithm is widely applied.

在经典算法中，逐次规划法的应用较为广泛。

5.Firstly, the optimality of identical sensor system for the exponential distribution family has been verified.

首先，我们确证了全同感测器系统在指数分布族的参数辨识问题上的最佳性。

6.It is discovered that convergence rate with asymptotical optimality for the proposed EB test can arbitrarily approach to 1 under certain conditions.

并发现对所提出的EB检验，在某些条件下，具有渐近最优性的收敛速率，能够任意接近于1。

7.Using the alternative theorem, the optimality conditions of vector extremum problems with generalized constraint are established in ordered linear space.

在序线性空间中，利用次似凸映射的择一性定理，得出具有一般约束的向量极值问题的最优性条件。

8.The engineers focused on the optimality 最优性 of the design to ensure maximum efficiency.

工程师们专注于设计的optimality 最优性，以确保最大的效率。

9.In decision-making, achieving optimality 最优性 can lead to better outcomes.

在决策中，实现optimality 最优性可以带来更好的结果。

10.The optimality 最优性 of the algorithm was tested against various datasets.

该算法的optimality 最优性在不同的数据集上进行了测试。

11.To improve production, the factory sought to enhance the optimality 最优性 of its processes.

为了提高生产效率，工厂寻求改善其流程的optimality 最优性。

12.The research paper discussed the optimality 最优性 conditions for resource allocation.

研究论文讨论了资源分配的optimality 最优性条件。

作文

In today's rapidly evolving world, the concept of optimality plays a crucial role in various fields, from economics to engineering and even in everyday decision-making. But what exactly does optimality mean? At its core, optimality refers to the state of being the best or most effective under given circumstances. It is about achieving the most favorable outcome while considering all available resources and constraints. To illustrate the importance of optimality, let's consider a common scenario: planning a budget for a family vacation. In this case, the goal is to maximize enjoyment while minimizing costs. Here, optimality would involve finding the right balance between spending and experiences. A family could choose a less expensive destination that offers free activities, or they might opt for a more luxurious location but sacrifice some experiences due to higher costs. The key is to analyze all options and select the one that provides the best overall value. In the realm of economics, optimality is often discussed in terms of resource allocation. Economists strive to achieve Pareto optimality, which occurs when resources are allocated in such a way that no individual can be made better off without making someone else worse off. This principle highlights the importance of efficiency in economic systems and encourages policymakers to design interventions that promote optimality in resource distribution. For example, a government might implement taxation policies that aim to redistribute wealth while still encouraging investment and growth, striving for an economically optimal outcome. Engineering also heavily relies on the concept of optimality. Engineers often face challenges that require them to design systems or structures that meet specific criteria while adhering to safety regulations and budget constraints. For instance, in civil engineering, the design of a bridge must not only be structurally sound but also cost-effective and aesthetically pleasing. Achieving optimality in this context means creating a bridge that uses materials efficiently, minimizes construction time, and meets all necessary safety standards. Moreover, optimality is relevant in the field of artificial intelligence (AI) and machine learning. Algorithms are designed to find optimality in data processing, predicting outcomes, and making decisions. For example, a recommendation system uses algorithms to analyze user preferences and behaviors to suggest products or services that are most likely to appeal to the user. The goal is to achieve optimality in user satisfaction and engagement, thereby increasing the likelihood of purchases or interactions. In conclusion, the concept of optimality is integral to various aspects of life and numerous professional fields. Whether it is about budgeting for a vacation, allocating resources in an economy, designing efficient structures, or developing advanced AI systems, understanding and applying optimality leads to better decision-making and outcomes. As we continue to navigate an increasingly complex world, the pursuit of optimality will remain a guiding principle, helping us to make choices that yield the best possible results while balancing competing demands and constraints. By embracing the idea of optimality, we can enhance our effectiveness in both personal and professional endeavors, ultimately contributing to a more efficient and harmonious society.

在当今快速发展的世界中，optimality的概念在各个领域中发挥着至关重要的作用，从经济学到工程学，甚至在日常决策中也是如此。但究竟什么是optimality呢？从本质上讲，optimality指的是在给定情况下最好的或最有效的状态。它是关于在考虑所有可用资源和限制的情况下，实现最有利结果的过程。 为了说明optimality的重要性，让我们考虑一个常见的场景：为家庭度假计划预算。在这种情况下，目标是在降低成本的同时最大化享受。在这里，optimality涉及找到支出与体验之间的正确平衡。一个家庭可以选择一个较便宜的目的地，提供免费的活动，或者他们可能选择一个更豪华的地点，但由于高昂的费用而牺牲一些体验。关键是分析所有选项，并选择提供最佳整体价值的方案。 在经济学领域，optimality通常在资源配置方面进行讨论。经济学家努力实现帕累托最优，即资源以这样的方式分配，使得没有个人可以在不使其他人变得更糟的情况下变得更好。这一原则突显了经济系统中效率的重要性，并鼓励政策制定者设计促进资源分配optimality的干预措施。例如，政府可能实施税收政策，旨在重新分配财富，同时仍然鼓励投资和增长，努力实现经济上的optimality成果。 工程学同样严重依赖于optimality的概念。工程师经常面临需要设计满足特定标准的系统或结构，同时遵守安全法规和预算限制的挑战。例如，在土木工程中，桥梁的设计不仅必须结构安全，还必须具有成本效益和美观性。在这种情况下，实现optimality意味着使用材料高效，最小化施工时间，并满足所有必要的安全标准。 此外，optimality在人工智能（AI）和机器学习领域也相关。算法被设计用来在数据处理、预测结果和做出决策中寻找optimality。例如，推荐系统使用算法分析用户偏好和行为，以建议最有可能吸引用户的产品或服务。其目标是在用户满意度和参与度方面实现optimality，从而增加购买或互动的可能性。 总之，optimality的概念对生活的各个方面以及众多专业领域至关重要。无论是为度假预算、在经济中分配资源、设计高效结构，还是开发先进的人工智能系统，理解和应用optimality都能带来更好的决策和结果。随着我们继续在一个日益复杂的世界中导航，追求optimality将始终是一个指导原则，帮助我们做出能够在平衡竞争需求和限制的情况下获得最佳结果的选择。通过拥抱optimality的理念，我们可以提高个人和职业努力的有效性，最终为一个更高效、更和谐的社会做出贡献。