subquadratic

[美]/ˌsʌbkwɒˈdrætɪk/
[英]/ˌsʌbkwɑːˈdrætɪk/

释义

adj.指数学或计算属性,其复杂性或程度低于二次方;具体描述算法、函数或过程,其时间和空间复杂度增长速度快于线性,但通常慢于O(n²)。

短语搭配

subquadratic algorithm

亚二次算法

subquadratic complexity

亚二次复杂度

subquadratic time

亚二次时间

subquadratic running

亚二次运行

subquadratic performance

亚二次性能

subquadratic bound

亚二次界

subquadratic growth

亚二次增长

subquadratic functions

亚二次函数

subquadratic behavior

亚二次行为

subquadratic scaling

亚二次缩放

例句

the new algorithm achieves subquadratic time complexity for processing large datasets.

新的算法能够实现对大型数据集进行处理的次二次时间复杂度。

researchers developed a subquadratic approach to matrix multiplication that outperforms traditional methods.

研究人员开发了一种亚二次矩阵乘积方法,优于传统方法。

subquadratic algorithms are essential for efficiently handling big data applications.

亚二次算法对于高效处理大数据应用程序至关重要。

the sorting method operates in subquadratic time when the input data meets specific criteria.

当输入数据满足特定条件时,排序方法可以在亚二次时间内运行。

we need a subquadratic solution to handle the exponentially growing data volume in modern systems.

我们需要一种亚二次解决方案来处理现代系统中呈指数增长的数据量。

the subquadratic bound was proven using advanced combinatorial techniques and novel mathematical insights.

该亚二次界限是使用高级组合技术和新颖的数学见解证明的。

current hardware limitations make subquadratic algorithmic methods increasingly important for practical applications.

当前的硬件限制使得亚二次算法方法在实际应用中越来越重要。

this approach provides a subquadratic improvement over previous implementations for graph traversal problems.

这种方法为图遍历问题提供了比以前的实现更优的亚二次改进。

the complexity analysis reveals subquadratic behavior when dealing with sparse matrix representations.

复杂度分析表明,在处理稀疏矩阵表示时,会表现出亚二次行为。

subquadratic running times are achievable with the right choice of data structures and optimization strategies.

通过选择正确的数据结构和优化策略,可以实现亚二次运行时间。

the problem admits a subquadratic algorithm when additional preprocessing constraints are satisfied.

当满足额外的预处理约束时,该问题可以采用亚二次算法。

engineers are actively researching subquadratic cryptographic primitives for enhanced security protocols.

工程师们正在积极研究亚二次密码学原语,以增强安全协议。

machine learning models can benefit from subquadratic training procedures on high-dimensional datasets.

机器学习模型可以通过在多维数据集上采用亚二次训练程序来获益。

the subquadratic convergence rate of this numerical method significantly reduces computational overhead.

这种数值方法的亚二次收敛速度大大降低了计算开销。

database query optimization often relies on subquadratic indexing techniques for fast retrieval operations.

数据库查询优化通常依赖于亚二次索引技术来实现快速检索操作。

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