How to use in-sentence of “algorithms”:
+ Such algorithms are easy to implement, but they do not always find the best solution.
+ As of 2008, AES is one of the most popular algorithms used in symmetric key cryptography.
+ The Audio Engine components of the Game Engine incorporates algorithms related to loading and modifying audio input and output.
+ He was known for his works in algorithms and optimization.
+ His group successfully applied the new algorithms to challenging problems such as aerodynamic wing design.
+ Second, genetic algorithms take a very long time on nontrivial problems.
+ Though they have usage in a variety of disciplines, breadth first search algorithms are most often associated with finding the shortest distance between two points, such as on a map.
Example sentences of “algorithms”:
+ Part of complexity theory is understanding how algorithms perform in their worst-case scenario.
+ Various algorithms also exist to maintain cache coherency.
+ Part of complexity theory is understanding how algorithms perform in their worst-case scenario.
+ Various algorithms also exist to maintain cache coherency.
+ If the edge weights are integers with a bounded bit length, then deterministic algorithms are known with linear running time.
+ A number of compression algorithms are permitted in zip files but in 2008 only DEFLATE is widely used and supported.
+ The tree data type is a type of graph meaning that many algorithms made to traverse a graph also work with a tree however, the algorithms can be much similar and must have a dedicated start node, that is the node with no other nodes linking to it.
+ In this meaning, a cryptosystem refers to a set of algorithms needed to implement a method of encryption and decryption.
+ When we look at algorithms as a way of solving problems, often we want to know how long it would take a computer to solve the problem using a particular algorithm.
+ There are simple algorithms to calculate median, mean, standard deviation etc.
+ Once a symmetric key is known to all parties of the session, faster symmetric-key algorithms using that key can be used to encrypt the remainder of the session.
+ Asymmetric algorithms need much longer keys to be secure.
+ For general weights, there are randomized algorithms whose “expected” running time is linear.
+ In his “Algorithm Design Manual”, Skiena advises against genetic algorithms for any task: “”It is quite unnatural to model applications in terms of genetic operators like mutation and crossover on bit strings.
+ Looking at the information theory complexity, linear programming problems are simple, and can be solved efficiently using algorithms such as the interior point method.
+ As a general rule of thumb, genetic algorithms might be useful in problem domains that have a complex fitness landscape as mixing is designed to move the population away from local optima that a traditional hill climbing algorithm might get stuck in.
+ Evolutionary algorithms work like that.
+ Survey of interval algorithms for ordinary differential equations.
More in-sentence examples of “algorithms”:
+ They are also important in algorithms such as topological sort Donald Knuth, The Art of Computer Programming and set union-find.
+ A real-time operating system may be single- or multi-tasking, but when multitasking, it uses specialized scheduling algorithms so that a deterministic nature of behavior is achieved.
+ It is not a very efficient method compared to other algorithms such as quicksort.
+ Digital signal processing algorithms require a large number of mathematical operations to be performed quickly on a set of data.
+ Two different algorithms that sort words by the number of letters in the word may not give the same ordering of the words with the same number of letters, but they will always give an ordering where the four-letter words come before the five-letter-words, and after the three-letter-words.
+ People spent lots of time looking for algorithms that finds answers to some NP-complete problem in polynomial number of steps, but have not found any.
+ Machine learning explores the study and construction of algorithms which can learninglearn and make predictions on data.
+ This required very efficient algorithms to make the game work on the slow computers of the time.
+ On the other hand, poor cipher depends on home-grown proprietary algorithms that have not been subjected to extensive testing and inspection; for this reason, many computer-age encryption systems are still subject to ciphertext-only attack but still in use.
+ The sorting-by-numbers algorithms are more difficult to do than the sorting-by-colors algorithm, because they may have to do the steps again many times.
+ These algorithms are all different ways of finding a path between two places, over certain paths between them.
+ Holographic algorithms are not like laser holography, except metaphorically.
+ Using good algorithms like these can make it very hard to read the information that is sent.
+ The schema theorem holds under the assumption of a genetic algorithm that maintains an infinitely large population, but does not always carry over to practice: due to sampling error in the initial population, genetic algorithms may converge on schemata that have no selective advantage.
+ People are also interested in how a certain algorithm does on average; many algorithms are very inefficient in their worst case, but are okay on most cases.
+ He was the head of the Algorithms and Optimization Department of ATT Labs Research from 1988 to 2013.
+ It is the same for algorithms, and algorithms are better when they are easier for the computer to do.
+ Greedy algorithms select the best result at each iteration.
+ Asymmetric algorithms are used to distribute symmetric-keys at the start of a session.
+ Symmetric-key algorithms are very important because they are faster on computers than the other kind:public-key algorithms.
+ Very often, algorithms that use fewer steps use more memory.
+ This example is more difficult as Machine learning algorithms often utilize multidimensional data usually in the form of tensors yielding more complicated functions.
+ Genetic algorithms are a simulation of natural selection on a population of candidate solutions to an optimization problem.
+ All three algorithms are greedy algorithmsgreedy, and run in polynomial time.
+ Some types the PRNGs algorithms utilize system entropy to generate a seed data, such seeds produce better results, since this makes the initial conditions of the PRNG much more difficult for an attacker to guess.
+ Symmetric-key algorithms are generally much less “computationally intensive” than asymmetric key algorithms.
+ They are also important in algorithms such as topological sort Donald Knuth, The Art of Computer Programming and set union-find.
+ A real-time operating system may be single- or multi-tasking, but when multitasking, it uses specialized scheduling algorithms so that a deterministic nature of behavior is achieved.
+ It is not a very efficient method compared to other algorithms such as quicksort.
+ The laboratory of 3D computer graphics and calculation creating new algorithms to solve problems of processing and analysis of signals and images.
+ It can encrypt information using a large number algorithms including Advanced Encryption StandardAES, Blowfish, CAST6, MARS, RC6, Serpent and Twofish.
+ Board games are a very relevant part of the area of genetic algorithms as applied to game theory problems.
+ Turing Prize for inventing the World Wide Web, the first web browser, and the fundamental protocols and algorithms allowing the Web to scale.
+ With its high-frequency trading algorithms Knight was the largest trader in U.S.
+ After asking for comments, the NIST held the Second AES Conference where the top five algorithms were MARS, RC6, Rijndael, Serpent Serpent, and Twofish.
+ One disadvantage of symmetric-key algorithms is the requirement of a “shared secret key”, with both parties holding the same copy at each end.
+ This is very useful, but public-key cryptography algorithms are very slow on computers, so they are only used to send a secret key.
+ Various algorithms are used in the internet market depending upon the need.
+ Chatterjee also used computer algorithms to test whether or not “Microraptor” was capable of true, powered flight, in addition to gliding.
+ Now all 40-bit encryption algorithms are obsolete because they are dangerously susceptible to brute force attacks.
+ Machine learning is done where designing and programming explicit algorithms cannot be done.
+ There are some problems where greedy algorithms do not produce the best possible solution.
+ Genetic algorithms are good at solving problems that include timetabling and scheduling.
+ Since there are tricks and algorithms to finding Mersenne primes quickly, the largest known primes are also Mersenne primes.
+ These are examples of algorithms for sorting a stack of cards with many different numbers, so that the numbers are in order.
+ Many method standardization agencies now control these algorithms and methods to assure their objectivity.
+ Therefore, one can apply a chain of logical rules and algorithms to create animations without manually specify any key poses.
+ Two other algorithms are commonly used today.
+ The concept of genetic algorithms is a search technique often used in computer science to find complex, non-obvious solutions to algorithmic optimisation and search problems.
+ Symmetric-key algorithms is a method in cryptography.
+ People have used holographic algorithms to find P ways to solve problems related to mathematical graphs, like satisfiability.
+ It is one of most widely used algorithms for sorting today.