Dynamic Programming in a sentence
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(1) Ruby is a dynamic programming language.
(2) Dynamic programming is a powerful algorithmic technique.
(3) The recursion formula is a key concept in dynamic programming.
(4) The algorithmic problem required a dynamic programming solution.
(5) Ruby is a dynamic programming language known for its simplicity.
(6) Recursions can be used to solve problems in dynamic programming.
(7) Dynamic programming is a fundamental concept in algorithm design.
(8) The array bhistees might be used in a dynamic programming solution.
(9) The MST problem can be solved using dynamic programming techniques.
(10) Dynamic programming is a powerful technique used in computer science.
Dynamic Programming sentence
(11) The concept of dynamic programming is widely used in computer science.
(12) The concept of dynamic programming is widely used in algorithm design.
(13) Dynamic programming can be applied to a wide range of problem domains.
(14) The recursion formula is widely used in dynamic programming techniques.
(15) The dynamic programming approach is based on the principle of optimality.
(16) Dynamic programming is a key concept in the field of operations research.
(17) The LCS of two strings can be found using dynamic programming techniques.
(18) The high-order function allowed for dynamic programming in the algorithm.
(19) Dynamic programming can be used to find the optimal solution to a problem.
(20) The poljes array can be used to implement a dynamic programming algorithm.
Dynamic Programming make sentence
(21) The array boggards can be used to implement dynamic programming solutions.
(22) The array burgages can be used to implement dynamic programming solutions.
(23) Dynamic programming can be applied to solve complex optimization problems.
(24) Dynamic programming can be applied to a wide range of optimization problems.
(25) Dynamic programming algorithms often involve constructing a table or matrix.
(26) Dynamic programming can be used to solve problems with multiple constraints.
(27) The dynamic programming technique is widely used in artificial intelligence.
(28) The array candider can be used to implement a dynamic programming algorithm.
(29) The scaleless array can be used to implement dynamic programming algorithms.
(30) The array talukdars can be used to implement dynamic programming algorithms.
Sentence of dynamic programming
(31) Dynamic programming allows for efficient memoization of intermediate results.
(32) The dynamic programming approach is based on the divide-and-conquer strategy.
(33) Dynamic programming can be used to solve problems with overlapping intervals.
(34) The indexable array can be used to implement a dynamic programming algorithm.
(35) The array vitiations can be used to implement dynamic programming algorithms.
(36) The array blockholes can be used to implement a dynamic programming algorithm.
(37) The array 'fischeri' can be used to implement a dynamic programming algorithm.
(38) The LCS problem can be solved efficiently using bottom-up dynamic programming.
(39) Dynamic programming is a fundamental concept in algorithm design and analysis.
(40) The array bulbosities could be used to implement dynamic programming solutions.
Dynamic Programming meaningful sentence
(41) Groovy is a dynamic programming language that runs on the Java Virtual Machine.
(42) Many optimization problems can be solved efficiently using dynamic programming.
(43) The array 'dowitchers' can be used to implement a dynamic programming algorithm.
(44) Dynamic programming algorithms can be used to find the shortest path in a graph.
(45) The dynamic programming technique is often used in resource allocation problems.
(46) Dynamic programming is often used to solve problems with overlapping subproblems.
(47) Algors can be optimized using techniques like memoization or dynamic programming.
(48) Dynamic programming can be used to find the optimal solution for a given problem.
(49) Ruby is a dynamic programming language known for its simplicity and productivity.
(50) Temporaries are commonly used in dynamic programming to store temporary solutions.
Dynamic Programming sentence examples
(51) The efficiency of dynamic programming algorithms depends on the problem structure.
(52) Dynamic programming is often used in combination with other algorithmic techniques.
(53) Dynamic programming can be used to solve problems with exponential time complexity.
(54) The key idea behind dynamic programming is to store and reuse intermediate results.
(55) The time complexity of dynamic programming algorithms can be significantly reduced.
(56) The dynamic programming paradigm is based on the principle of optimal substructure.
(57) The dynamic programming algorithm is based on the principle of optimal substructure.
(58) The dynamic programming technique is based on the principle of optimal substructure.
(59) The computational complexity of this problem can be solved using dynamic programming.
(60) The dynamic programming technique is widely used in the field of operations research.
Sentence with dynamic programming
(61) Dynamic programming algorithms can be implemented using various programming languages.
(62) The dynamic programming algorithm is based on the principle of overlapping subproblems.
(63) The dynamic programming technique is widely used in the field of computational biology.
(64) Dynamic programming allows for breaking down complex problems into smaller subproblems.
(65) Dynamic programming algorithms often involve the use of recursion to solve subproblems.
(66) Understanding dynamic programming is essential for solving complex problems efficiently.
(67) The dynamic programming approach can significantly improve the efficiency of a solution.
(68) The time complexity of dynamic programming algorithms can vary depending on the problem.
(69) Dynamic programming can be used to solve problems with uncertain or changing parameters.
(70) Dynamic programming can be used to solve problems with uncertain or probabilistic inputs.
Use dynamic programming in a sentence
(71) Dynamic programming algorithms can be implemented using iterative or recursive approaches.
(72) Dynamic programming is particularly useful for solving problems with optimal substructure.
(73) The time complexity of a dynamic programming solution depends on the number of subproblems.
(74) The key idea behind dynamic programming is breaking down a problem into smaller subproblems.
(75) The dynamic programming approach is often used to solve problems with a recursive structure.
(76) Dynamic programming is a versatile technique that can be applied to a wide range of problems.
(77) Dynamic programming can be used to solve problems with both discrete and continuous variables.
(78) Dynamic programming algorithms often involve the use of memoization to store computed results.
(79) Assignability is a concept that is applicable to both static and dynamic programming languages.
(80) The dynamic programming technique is particularly useful for problems with optimal substructure.
Sentence using dynamic programming
(81) The dynamic programming technique is based on the idea of reusing previously computed solutions.
(82) The computational complexity of this problem can be solved using dynamic programming techniques.
(83) Dynamic programming can be used to solve problems with both deterministic and stochastic inputs.
(84) The dynamic programming approach is particularly effective for problems with optimal substructure.
(85) Dynamic programming algorithms often involve the use of memoization to store intermediate results.
(86) The key idea behind dynamic programming is to break a problem into smaller overlapping subproblems.
(87) The efficiency of dynamic programming algorithms depends on the choice of subproblem decomposition.
(88) The dynamic programming technique is widely used in bioinformatics for sequence alignment problems.
(89) Dynamic programming can be used to solve problems in various domains, including finance and biology.
(90) Dynamic programming is commonly used in areas such as artificial intelligence and operations research.
Dynamic Programming example sentence
(91) The dynamic programming approach can significantly improve the efficiency of solving certain problems.
(92) The dynamic programming approach can lead to more efficient solutions compared to brute force methods.
(93) The dynamic programming approach is often used to solve problems involving optimal resource allocation.
(94) Dynamic programming algorithms can be used to solve problems with both discrete and continuous variables.
(95) The dynamic programming technique is a powerful tool for solving complex optimization problems efficiently.
(96) Dynamic programming algorithms often involve the use of dynamic data structures such as arrays or matrices.
(97) The dynamic programming approach is often used to solve problems involving optimal sequencing or scheduling.
(98) The dynamic programming approach is particularly effective for solving problems with overlapping subproblems.
(99) The dynamic programming approach is based on the concept of optimal substructure and overlapping subproblems.
(100) Dynamic programming algorithms can be used to solve problems with both deterministic and stochastic components.
Sentence with word dynamic programming
(101) The dynamic programming technique is particularly effective for solving problems with overlapping substructures.
(102) College students should explore different algorithmic techniques like dynamic programming and greedy algorithms.
(103) Dynamic programming algorithms are commonly used in areas such as operations research and artificial intelligence.
(104) The dynamic programming paradigm is widely used in the field of computer science for solving optimization problems.
(105) The dynamic programming approach is based on the idea of breaking a problem into smaller, more manageable subproblems.
(106) The dynamic programming paradigm is based on the idea of solving a problem by combining solutions to smaller subproblems.
(107) The dynamic programming approach is based on the idea of breaking down a problem into smaller, more manageable subproblems.
(108) The dynamic programming approach is particularly useful when a problem can be divided into smaller, overlapping subproblems.
Dynamic Programming meaning
Dynamic programming is a powerful technique used in computer science and mathematics to solve complex problems by breaking them down into smaller, more manageable subproblems. It is a method that involves solving a problem by solving smaller instances of the same problem and storing the solutions to these subproblems in a table or array. This allows for efficient computation and avoids redundant calculations. When using the term "dynamic programming" in a sentence, it is important to provide context and clarity to ensure that the reader understands its meaning and relevance. Here are some tips on how to use this exact word or phrase effectively in a sentence:
1. Begin by introducing the concept: "Dynamic programming is a method used in computer science to solve complex problems by breaking them down into smaller subproblems."
2. Provide an example to illustrate its application: "One example of dynamic programming is the Fibonacci sequence, where each number is the sum of the two preceding ones. By using dynamic programming, we can efficiently calculate the nth Fibonacci number."
3. Explain the benefits of using dynamic programming: "Dynamic programming allows for the efficient computation of solutions by avoiding redundant calculations. It stores the solutions to subproblems in a table, which can be accessed later, resulting in faster execution times."
4. Highlight its relevance in various fields: "Dynamic programming is widely used in fields such as optimization, artificial intelligence, and bioinformatics. It provides an effective approach to solving problems that involve overlapping subproblems."
5. Discuss the steps involved in applying dynamic programming: "To apply dynamic programming, one must identify the optimal substructure and overlapping subproblems within the given problem. By solving these subproblems and storing their solutions, the overall problem can be efficiently solved."
6. Emphasize the importance of memoization: "Memoization is a key aspect of dynamic programming, where the solutions to subproblems are stored in a table or array. This allows for quick retrieval of solutions, reducing the time complexity of the algorithm."
7. Compare dynamic programming to other problem-solving techniques: "Dynamic programming differs from other problem-solving techniques, such as divide and conquer, as it focuses on solving subproblems and reusing their solutions. This makes it particularly useful for problems with overlapping substructures."
8. Discuss common algorithms that utilize dynamic programming: "Some well-known algorithms that employ dynamic programming include the Knapsack problem, the Longest Common Subsequence problem, and the Bellman-Ford algorithm for finding the shortest path in a graph."
9. Highlight the complexity analysis of dynamic programming algorithms: "The time complexity of dynamic programming algorithms depends on the number of subproblems and the time required to solve each subproblem. However, by storing solutions in a table, the overall time complexity can often be reduced to polynomial time."
10. Conclude by summarizing the significance of dynamic programming: "In summary, dynamic programming is a powerful technique that allows for efficient problem-solving by breaking down complex problems into smaller subproblems. By storing and reusing solutions, it avoids redundant calculations and provides faster execution times." By following these tips, you can effectively incorporate the term "dynamic programming" into your writing, providing a clear understanding of its meaning and significance in problem-solving.
The word usage examples above have been gathered from various sources to reflect current and historical usage of the word Dynamic Programming. They do not represent the opinions of TranslateEN.com.