Examples of using Sub-problems in English and their translations into Indonesian
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Colloquial
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Ecclesiastic
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Computer
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Ecclesiastic
Solutions to smaller sub-problems.
The solutions of sub-problems are combined in order to achieve the best solution.
We need to break down our problem into smaller sub-problems.
Quickly explain the significant problems and sub-problems to be attended to by your research.
There are however caseswhen you do not need to solve all the sub-problems and.
At this stage, sub-problems become atomic in nature but still represent some part of the actual problem.
Dynamic algorithms useMemoization to remember the output of already solved sub-problems.
Where as dynamic programming is applicable when the sub-problems are not independent, that is, when sub-problems share subsubproblems.
An optimum solution can beachieved by using an optimum solution of smaller sub-problems.
A divide andconquer algorithm works by recursively breaking down a problem into two or more sub-problems of the same type, until these become simple enough to be solved directly….
A number of algorithms for other types of optimizationproblems work by solving LP problems as sub-problems.
Map”: The master node takes the input,partitions it up into smaller sub-problems, and distributes them to worker nodes.
Before solving the in-hand sub-problem, dynamic algorithm will try to examine the results of the previously solved sub-problems.
Map” step: The master node takes the input,partitions it up into smaller sub-problems, and distributes those to worker nodes.
In the C language problem solving is divided into sub-problems even smaller or it can be called a procedural programming language, while++ object-oriented C, where the problems are divided into classes.4.
The first step, the"Map" step,takes the input and breaks it into smaller sub-problems and distributes them to the worker nodes.
Machine perception addresses the ability to use sensory inputs to deduce different details of the Earth, whilst computer vision is thecapacity to analyze visual inputs with a couple sub-problems like facial, object and gesture recognition.
Divide andconquer is an algorithm that recursively breaks down a problem into two or more sub-problems of the same or related type until it becomes simple enough to be solved directly.
Robots require intelligence to handle tasks such as object manipulation andnavigation, along with sub-problems of localization, motion planning and mapping.
Traditionally, the divide and conquer algorithm consists of two parts:1. breaking down a problem into some smaller independent sub-problems of the same type; 2. finding the final solution of the original problems after solving these smaller problems separately.
Robots need intelligence to handle tasks such as object manipulation andnavigation, along with sub-problems of localization, motion planning, and mapping.
Users of the AHP first decompose their decisionproblem into a hierarchy of more easily comprehended sub-problems, each of which can be analyzed independently.
Intelligence is required for robots to handle tasks such as object manipulation[99]and navigation, with sub-problems such as localization, mapping, and motion planning.
When using approaches like Divide-and-Conquer, a sub-problem may be solved multiple times.