slower than the technique vs with a linear time complexity

Some examples from the web:

• only 5.75% slower than the technique of [6] (which is well suited fora dynamic environment), while collecting a wider range of information. 3. Provides a case ...
• (Actually, one idea worked but was even slower than the technique he had). I never met someone with a disability before (times were different then). I met a lad  ...
• on average only 5.75% slower than the technique of [8] (which is well suited for a dynamic environment), while collecting a wider range of information. 3.
• Sep 26, 2012 ... You can do exactly the same thing with a Scanner; although either one will be quite a bit slower than the technique I suggested in my previous ...

Some examples from the web:

• Feb 13, 2019 ... I know this can be done with a linear time complexity but binary search could be modify to achieve this. The following is the linear time ...
• Jan 15, 2024 ... ... with a linear time complexity. Although the AHU-algorithm has remained state of the art for almost 50 years, it has been criticized for ...
• Sep 30, 2019 ... ... with a linear time complexity. If you want to have a custom distance measure you can try the Clustering4Ever implementation of this ...
• May 13, 2009 ... The algorithm runs efficiently with a linear time complexity. In addition, an error rate evaluation model can be derived from bacterial ...
• Feb 5, 2007 ... ... with a linear time complexity. It can be applied to scheduling based on worst-case execution times as well as online slack distribution when ...
• Mar 8, 2023 ... Here is the corrected implementation of the algorithm with a linear time complexity: def count_S_less(n): """ Returns the number of times S ...
• ... with a linear time complexity of /spl Theta/(T*N). Typically, static-list scheduling algorithms, in order to maintain low-complexity, do not perform any ...
• Jan 31, 2022 ... Final answer: Here is a Java program with a linear time complexity (O(N)) to find all the dominant elements in the given array.
• Conversely, an algorithm with a linear time complexity would see its number of operations double if its input size doubled. As an example, a linear-time ...