Computational Complexity in a sentence
Synonym: complexity.
Meaning: The study of the resources needed for the execution of algorithms.
(1) The computational complexity of this algorithm is high.
(2) The computational complexity of this problem is still unknown.
(3) Feature selection can help in reducing computational complexity.
(4) Evaluate the impact of irreducibility on computational complexity.
(5) The computational complexity of this problem is known to be NP-hard.
(6) The computational complexity of this optimization problem is NP-hard.
(7) The computational complexity of this algorithm is polynomial in nature.
(8) The parameterization of the algorithm reduced computational complexity.
(9) Feature selection can help reduce the computational complexity of models.
(10) The computational complexity of this problem makes it difficult to solve.
Computational Complexity sentence
(11) The determinator's complexity affects the array's computational complexity.
(12) The developer had to recode the algorithm to reduce computational complexity.
(13) The high-order algorithm reduced the computational complexity of the problem.
(14) The logical design of the software algorithm reduces computational complexity.
(15) The schematism of this array is designed to minimize computational complexity.
(16) The arithmetized algorithm simplified the computational complexity of the task.
(17) The computational complexity of this problem can be reduced by using heuristics.
(18) The turing machine can be used to study the concept of computational complexity.
(19) The computational complexity of this encryption algorithm ensures high security.
(20) Computability theory helps us understand the concept of computational complexity.
Computational Complexity make sentence
(21) The computational complexity of this problem can be analyzed using Big O notation.
(22) The computational complexity of this problem can be approximated using heuristics.
(23) Subsampling is widely used in image processing to reduce computational complexity.
(24) The computational complexity of this problem can be solved using greedy algorithms.
(25) The computational complexity of this problem can be solved using a greedy strategy.
(26) Understanding computational complexity is crucial for developing efficient software.
(27) The computational complexity of this algorithm can be improved by using memoization.
(28) The computational complexity of this problem can be solved using dynamic programming.
(29) The computational complexity of this algorithm is affected by the input distribution.
(30) The computational complexity of this problem can be solved using a genetic algorithm.
Sentence of computational complexity
(31) The quantization process is a trade-off between accuracy and computational complexity.
(32) The computational complexity of this problem can be reduced by preprocessing the data.
(33) The computational complexity of this algorithm is dependent on the data structure used.
(34) The computational complexity of this problem makes it infeasible to solve in real-time.
(35) The proofness of the algorithm was questioned due to its high computational complexity.
(36) The computational complexity of this algorithm can be evaluated using complexity theory.
(37) Discretization can help reduce the computational complexity of data analysis algorithms.
(38) The computational complexity of this algorithm is linear with respect to the input size.
(39) The computational complexity of this algorithm is dependent on the number of iterations.
(40) The computational complexity of this problem can be reduced by using parallel computing.
Computational Complexity meaningful sentence
(41) Irreducibility is a key concept in the study of algorithms and computational complexity.
(42) The computational complexity of this algorithm can be evaluated using complexity classes.
(43) The computational complexity of this problem can be solved using backtracking algorithms.
(44) The computational complexity of this algorithm can be analyzed using asymptotic analysis.
(45) The computational complexity of this problem increases exponentially with the input size.
(46) The computational complexity of this algorithm can be analyzed using worst-case scenarios.
(47) The computational complexity of this problem can be estimated by analyzing its input size.
(48) Orthogonalizing the vectors can simplify calculations and reduce computational complexity.
(49) The computational complexity of this algorithm can be reduced by using parallel computing.
(50) The computational complexity of this algorithm increases exponentially with the input size.
Computational Complexity sentence examples
(51) The computational complexity of this problem can be approximated using statistical methods.
(52) The reducibility of a problem to a known algorithm simplifies its computational complexity.
(53) Understanding context-free languages is crucial for understanding computational complexity.
(54) Understanding the computational complexity of a problem is crucial for efficient solutions.
(55) The computational complexity of this algorithm is affected by the choice of data structure.
(56) The computational complexity of this algorithm can be improved by using parallel processing.
(57) The computational complexity of this problem can be reduced by dividing it into subproblems.
(58) The computational complexity of this algorithm can be reduced by using efficient algorithms.
(59) The computational complexity of this algorithm can be optimized by using parallel computing.
(60) Rescaling the array can help in reducing the computational complexity of certain algorithms.
Sentence with computational complexity
(61) The computational complexity of this problem can be approximated using probabilistic methods.
(62) The computational complexity of this algorithm is logarithmic with respect to the input size.
(63) Researchers are constantly striving to develop algorithms with lower computational complexity.
(64) The computational complexity of this machine learning model depends on the number of features.
(65) The computational complexity of this algorithm can be improved by using memoization techniques.
(66) Cryptographers must possess a deep understanding of number theory and computational complexity.
(67) The computational complexity of this problem can be solved using a divide and conquer approach.
(68) The circulant algorithm reduces the computational complexity of solving differential equations.
(69) The computational complexity of this problem can be solved using dynamic programming techniques.
(70) The study of computational complexity is essential in understanding the efficiency of algorithms.
Use computational complexity in a sentence
(71) The field of computational complexity theory aims to classify problems based on their difficulty.
(72) Researchers are constantly working on reducing the computational complexity of various algorithms.
(73) The computational complexity of this algorithm can be optimized by using efficient data structures.
(74) The computational complexity of this problem can be estimated by analyzing its worst-case scenario.
(75) The question of computability is a fundamental one in the field of computational complexity theory.
(76) The study of cryptanalysis requires a deep understanding of algorithms and computational complexity.
(77) The study of automata theory helps in understanding the computational complexity of various problems.
(78) The computational complexity of this algorithm can be measured in terms of time and space requirements.
(79) The computational complexity of this problem can be measured in terms of its time and space complexity.
(80) Automata theory helps in understanding the computational complexity of different problems and algorithms.
(81) The computational complexity of matrix inversion algorithms can be reduced using approximation techniques.
Computational Complexity meaning
Computational complexity is a term that refers to the study of the resources required to solve a computational problem. It is a fundamental concept in computer science and plays a crucial role in the design and analysis of algorithms. Understanding computational complexity is essential for anyone working in the field of computer science or related disciplines. When using the phrase "computational complexity" in a sentence, it is important to provide context and clarity to ensure that the meaning is conveyed accurately. Here are some tips on how to use this term effectively:
1. Define the term: Begin by providing a brief definition or explanation of computational complexity.
For example, "Computational complexity, in computer science, refers to the study of the resources required to solve a computational problem."
2. Use it in a technical context: Computational complexity is primarily used in technical discussions and academic papers. When using the term in a sentence, make sure the context is appropriate and relevant. For instance, "The computational complexity of this algorithm is O(n^2), indicating that its running time grows quadratically with the input size."
3. Provide examples: To enhance understanding, include examples that illustrate the concept of computational complexity.
For example, "The computational complexity of sorting algorithms can vary significantly. While bubble sort has a complexity of O(n^2), merge sort has a complexity of O(n log n), making it more efficient for large datasets."
4. Compare different complexities: When discussing computational complexity, it is often helpful to compare different algorithms or approaches. This allows for a better understanding of the trade-offs involved. For instance, "Although algorithm A has a lower computational complexity than algorithm B, it requires more memory, making it less suitable for constrained environments."
5. Discuss implications: Computational complexity has practical implications in various fields, such as optimization, cryptography, and machine learning. When using the term, consider discussing the implications or consequences of different complexity classes.
For example, "The NP-complete problems have significant implications in cryptography, as breaking their encryption requires exponential time, making them computationally infeasible."
6. Use it in problem-solving discussions: Computational complexity is often used when analyzing and solving computational problems. When using the term in a sentence, consider its role in problem-solving discussions. For instance, "Understanding the computational complexity of this problem is crucial for selecting the most efficient algorithm to solve it."
7. Relate it to real-world applications: Computational complexity is not limited to theoretical discussions but has practical applications in various domains. When using the term, consider relating it to real-world scenarios or applications.
For example, "The computational complexity of image recognition algorithms is a critical factor in developing efficient computer vision systems."
In conclusion, computational complexity is a fundamental concept in computer science, and using it effectively in sentences requires providing context, examples, and comparisons. By following these tips, you can ensure that the meaning of the term is accurately conveyed and understood in various technical and problem-solving discussions.
The word usage examples above have been gathered from various sources to reflect current and historical usage of the word Computational Complexity. They do not represent the opinions of TranslateEN.com.