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What symmetric algorithm encrypts data one bit at a time?
MarkLivermoregp1293
Example of a stream cipher
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What is a dialling algorithm?
The algorithm is a set of complex mathematical equations that determine when the dialler will make the next call. It takes into account such things as the data quality, average length of call and the time it takes for a customer to answer the call.
Why time complexity is better than actual running time?
Finding a time complexity for an algorithm is better than measuring the actual running time for a few reasons: # Time complexity is unaffected by outside factors; running time is determined as much by other running processes as by algorithm efficiency. # Time complexity describes how an algorithm will scale; running time can only describe how one particular set of inputs will cause the algorithm to perform. Note that there are downsides to time complexity measurements: # Users/clients do not care about how efficient your algorithm is, only how fast it seems to run. # Time complexity is ambiguous; two different O(n2) sort algorithms can have vastly different run times for the same data. # Time complexity ignores any constant-time parts of an algorithm. A O(n) algorithm could, in theory, have a constant ten second section, which isn't normally shown in big-o notation.
How do you determine symmetry of a data structure For example how do you know if a Stack or a queue or a priority queue or a double ended queue are symmetric?
You can determine symmetry of a data structure in two ways. One is when the stacks and queues data are put in the application and when the stacks are put in during run-time.
What is performance measurement in algorithm?
Performance measurement is concerned with obtaining the space and time requirement of a particular algorithm thus quantities depend on the and absence used as well as on computer on which the algorithm is run..........
What is time complexity and space complexity?
"Running Time" is essentially a synonym of "Time Complexity", although the latter is the more technical term. "Running Time" is confusing, since it sounds like it could mean "the time something takes to run", whereas Time Complexity unambiguously refers to the relationship between the time and the size of the input.
Which cryptographic algorithms is a symmetric encryption method?
Twofish, Advanced Encryption Standard, Blowfish, Serpent, CAST 5, RC4, TDES, and IDEA are all examples of symmetric encryption methods. In short, any algorithm that uses the same or similar cryptographic keys for encryption and decryption is a symmetric encryption method. Symmetric encryption methods are also divided into two different categories, stream ciphers and block ciphers. These two encryption methods are much like the difference between an interpreter and a compiler in programming. Stream encrypts individual bytes one at a time, while Block encrypts volumes as a whole.
A cipher is called symmetric if it takes just as much computing time to encrypt a plaintext as it does to decrypt a ciphertext?
A symmetric cipher means that the key is the same for scrambling and unscrambling the data. Symmetric = same
What is difference between symmetric and asymmetric compression?
symmetric compressionA data compression technique that takes about the same amount of time to compress as it does to decompress.asymmetric compressionA data compression technique that typically takes more time to compress than it does to decompress. Some asymmetric compression methods take longer to decompress, which would be suited for backup files that are constantly being compressed and rarely decompressed.
Case complexity in data structure algorithms?
The complexity of an algorithm is the function which gives the running time and/or space in terms of the input size.
What is a dialling algorithm?
The algorithm is a set of complex mathematical equations that determine when the dialler will make the next call. It takes into account such things as the data quality, average length of call and the time it takes for a customer to answer the call.
Why time complexity is better than actual running time?
Finding a time complexity for an algorithm is better than measuring the actual running time for a few reasons: # Time complexity is unaffected by outside factors; running time is determined as much by other running processes as by algorithm efficiency. # Time complexity describes how an algorithm will scale; running time can only describe how one particular set of inputs will cause the algorithm to perform. Note that there are downsides to time complexity measurements: # Users/clients do not care about how efficient your algorithm is, only how fast it seems to run. # Time complexity is ambiguous; two different O(n2) sort algorithms can have vastly different run times for the same data. # Time complexity ignores any constant-time parts of an algorithm. A O(n) algorithm could, in theory, have a constant ten second section, which isn't normally shown in big-o notation.
How is time complexity of an algorithm calculated?
The usual definition of an algorithm's time complexity is called Big O Notation. If an algorithm has a value of O(1), it is a fixed time algorithm, the best possible type of algorithm for speed. As you approach O(∞) (a.k.a. infinite loop), the algorithm takes progressively longer to complete (an algorithm of O(∞) would never complete).
How do you determine symmetry of a data structure For example how do you know if a Stack or a queue or a priority queue or a double ended queue are symmetric?
You can determine symmetry of a data structure in two ways. One is when the stacks and queues data are put in the application and when the stacks are put in during run-time.
What is performance measurement in algorithm?
Performance measurement is concerned with obtaining the space and time requirement of a particular algorithm thus quantities depend on the and absence used as well as on computer on which the algorithm is run..........
What is time complexity and space complexity?
"Running Time" is essentially a synonym of "Time Complexity", although the latter is the more technical term. "Running Time" is confusing, since it sounds like it could mean "the time something takes to run", whereas Time Complexity unambiguously refers to the relationship between the time and the size of the input.
What is fundamental algorithm?
Algorithm It is the combination of sequential steps (these steps can be calculations, data processing, and reasoning tasks) use to resolve a problem in a very simple and efficient way. It is designed most efficiently that it can be expressed within a finite amount of space and time. we can implement it in any programming language. Properties of an algorithm : following are the main properties of an algorithm:- An algorithm must have a unique name. It should have explicitly defined sets of inputs and output. Algorithm must be in sequential order with unambiguous operations. It must have some endpoint, i.e., it halts in a finite amount of time. Visit for basic information about algorithms----> geeksjournal.in/2020/01/20/introduction-to-design-and-analysis-of-algorithm/
What is efficent Algorithm?
Basically it depends on your condition of the program but one should have these things in mind while making/writing an algorithm..... 1. Use minimum variable as much as possible. 2. Try to use the pointers instead of array's to allocate the memory at the run time. 3. Always check for the time and space complexity for the algorithm. 4. Use the exact data structure for the given problem.
