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Yes. For Example, many operating systems have two schedulers, one for high priority\realtime processes such as gui elements and another for low priority\background processes. The high priority\gui scheduler will usually use a scheme such as SRTF (shortest remaining time first) or SJF (shortest job first), while the low priority\background scheduler may use a scheme such as RR (round robin).
What else can I help you with?
What are the disadvantages of Fibonacci search?
There are a few disadvantages of the Fibonacci search: It can be slower than other search algorithms if the data is not sorted. It can be less accurate than other search algorithms if the data is not sorted. It can be more difficult to implement than other search algorithms.
How the use of primitives helps remove ambiguities in an algorithm's representation?
The use of primitives in algorithm design helps remove ambiguities by providing clear and well-defined building blocks for constructing algorithms. Primitives are basic operations or data types that have precise definitions and behaviors, reducing the risk of misinterpretation or confusion. By breaking down complex tasks into simpler primitives, algorithms become more modular and easier to understand, analyze, and implement. This approach also enhances the algorithm's efficiency and maintainability by promoting reusability and standardization.
Can you list the application of laplace transforms in the field of computer science engineering?
Laplace is used to write algorithms for various programs. More info is available on wiki .
What are the Different steps involved in solving a problem by using simulation method?
You need to give more information about which specific method you mean. simulation in numerical analysis just means using a computer to run different algorithms to solve continuous problems that can't be solved by normal or analytical methods. Considering the large amount of different algorithms there are for different topics and even different variations on those algorithms, I can't answer your question unless you specify which method it is you want to know the steps for.
What are the comparative and superlative forms of the word possible?
"Possibler" and "Possiblest." Just kidding. Possible comp. is "more possible" and possible sup. is "most possible." Wa-la.
What are the disadvantages of Fibonacci search?
There are a few disadvantages of the Fibonacci search: It can be slower than other search algorithms if the data is not sorted. It can be less accurate than other search algorithms if the data is not sorted. It can be more difficult to implement than other search algorithms.
What are some potential inefficiencies when using the bubble sort algorithm?
Although bubble sort is one of the simplest sorting algorithms to understand and implement, its O(n2)complexity means it is far too inefficient for use on lists having more than a few elements. Even among simple O(n2)sorting algorithms, algorithms like insertion sort are usually considerably more efficient.
Are there algorithms that will never be practical to implement by computer?
Yes. Algorithms to explicitly evaluate very large numbers (e.g. Graham's Number) would be one example; a computer which could even hold the result of such a calculation would require a great deal more matter than exists in the Universe.
Improving security in real time wireless networks through packet scheduling?
In the present network we have not a security of your data so you can do develop a some algorithm,that is useful to protect the packets in dynamically,but now used algorithms can't protect the packets,so we can develop spss algorithm,this algorithm is more protect the packets compare to other algorithms.......
What are 2 ways to speed the solution process?
One way to speed up the solution process is to break down the problem into smaller, more manageable parts. Another way is to implement more efficient algorithms or strategies to tackle the given problem.
Briefly define FCFS scheduling?
FCFS is "First come, first served" Scheduling: Processes are given time on the CPU in the order that they arrive. eg: Process | Arrival Time (ns) | Burst Time (ns) P1 0 20 P2 0 10 P3 0 5 Scheduling Diagram for FCFS: | P1 | P2 | P3 | 0ns 20ns 30ns 35ns
What are the scheduling criteria for CPU scheduling?
CPU Scheduling Criteria: There are many scheduling algorithms and various criteria to judge their performance. Different algorithms may favor different types of processes. Some criteria are. as follows: • CPU utilization: CPU must be as busy as possible in performing different tasks. CPU utilization is more important in real-time system and multi-programmed systems. • Throughput: The number of processes executed in a specified time period is called throughput. The throughput increases .for short processes. It decreases if the size of processes is huge. • Turnaround Time: The amount of time that is needed to execute a process is called turnaround time. It is the actual job time plus the waiting time. • Waiting Time: The amount of time the process has waited is called waiting time. It is the turnaround time minus actual job time. • Response Time: The amount of time between a request is Submitted and the first response is produced is called response time. A CPU scheduling algorithm should try to maximize the following: • CPU utilization • Throughput A CPU scheduling algorithm should try to minimize the following: • Turnaround time • Waiting time • Response time by manish kumar gnit g.noida
Where can one find more information about job shop scheduling?
Information about job shop scheduling can be found at ShopTech, Realtrac, Global Shop Solutions, OptiSol, Roll-Kraft, and Velocity Scheduling Systems.
How do you sort an array of numbers?
Use a sorting algorithm. There are a bewildering number of sorting algorithms, both stable and unstable. To sort numbers, an unstable sort suffices. The algorithm you use will depend on how many numbers need to be sorted (a small or a large set), however a hybrid algorithm (a combination of two or more algorithms) can cater for both. Introsort (unstable) and timsort (stable) are the two most common hybrid sorting algorithms.
Why is scheduling fairly simple for repetitive systems but fairly complex for job shops?
scheduling is fairly simple for a repetitive system just because it is more simple.
What is algorithm and define its complexity?
In mathematics and computer science, an algorithm is an effective method expressed as a finite list of well-defined instructions for calculating a function Algorithms are used for calculation, data processing, and automated reasoning.By complexityAlgorithms can be classified by the amount of time they need to complete compared to their input size. There is a wide variety: some algorithms complete in linear time relative to input size, some do so in an exponential amount of time or even worse, and some never halt. Additionally, some problems may have multiple algorithms of differing complexity, while other problems might have no algorithms or no known efficient algorithms. There are also mappings from some problems to other problems. Owing to this, it was found to be more suitable to classify the problems themselves instead of the algorithms into equivalence classes based on the complexity of the best possible algorithms for them. Burgin (2005, p. 24) uses a generalized definition of algorithms that relaxes the common requirement that the output of the algorithm that computes a function must be determined after a finite number of steps. He defines a super-recursive class of algorithms as "a class of algorithms in which it is possible to compute functions not computable by any Turing machine" (Burgin 2005, p. 107). This is closely related to the study of methods of hypercomputation.veer thakurchandigarh
What are some advanced Rubik's Cube top layer algorithms that can help solve the puzzle more efficiently?
Some advanced Rubik's Cube top layer algorithms that can help solve the puzzle more efficiently include the F2L (First Two Layers) method, the OLL (Orientation of the Last Layer) algorithms, and the PLL (Permutation of the Last Layer) algorithms. These algorithms involve specific sequences of moves that are designed to solve different parts of the Rubik's Cube's top layer in fewer steps.
