Efficient Algorithms and Problem Complexity
... Remarks Regarding nextFit The performance ratio is indeed 2, i.e., for some instances, nextFit uses (almost) twice as many bins as is optimal. [Can you find one?] It is an online algorithm: items are processed as they arrive. It is a 1-bounded-space algorithm: at most one bin is open at a time. Thes ...
... Remarks Regarding nextFit The performance ratio is indeed 2, i.e., for some instances, nextFit uses (almost) twice as many bins as is optimal. [Can you find one?] It is an online algorithm: items are processed as they arrive. It is a 1-bounded-space algorithm: at most one bin is open at a time. Thes ...
Speeding Up HMM Decoding and Training by Exploiting Sequence
... LZ-word W : using the trie, find the longest good substring w0 ∈ D that is a prefix of W , place a parsing comma immediately after w0 and repeat the process for the remainder of W . Time and Space Complexity Analysis. The improved algorithm utilizes substrings that guarantee acceleration (with respe ...
... LZ-word W : using the trie, find the longest good substring w0 ∈ D that is a prefix of W , place a parsing comma immediately after w0 and repeat the process for the remainder of W . Time and Space Complexity Analysis. The improved algorithm utilizes substrings that guarantee acceleration (with respe ...
IOSR Journal of Computer Engineering (IOSR-JCE)
... Genetic algorithm is an adaptive global optimization probability search algorithm, which simulates the biological genetic and evolution process in the natural environment [1]. A general framework for solving the optimization problem of complex systems is provided, which does not depend on the specif ...
... Genetic algorithm is an adaptive global optimization probability search algorithm, which simulates the biological genetic and evolution process in the natural environment [1]. A general framework for solving the optimization problem of complex systems is provided, which does not depend on the specif ...
UFMG/ICEx/DCC Projeto e Análise de Algoritmos Pós
... A memoized function “remembers” the results corresponding to some set of specific inputs. Subsequent calls with remembered inputs return the remembered result rather than recalculating it, thus moving the primary cost of a call with given parameters to the first call made to the function with those ...
... A memoized function “remembers” the results corresponding to some set of specific inputs. Subsequent calls with remembered inputs return the remembered result rather than recalculating it, thus moving the primary cost of a call with given parameters to the first call made to the function with those ...
Analysis of the impact of parameters values on the Genetic
... In order to calculate the shortest traveling distance from an initial city, by visiting each one only once and returning to the initial one, we consider the locations as nodes of the graph, in the graph model. In the meantime, the distances between the cities are edges of the graph. For length of th ...
... In order to calculate the shortest traveling distance from an initial city, by visiting each one only once and returning to the initial one, we consider the locations as nodes of the graph, in the graph model. In the meantime, the distances between the cities are edges of the graph. For length of th ...
Division Methods - Bonny Eagle Mathematics
... ♦ Some numbers cannot be divided evenly. When this ...
... ♦ Some numbers cannot be divided evenly. When this ...
Exact MAP Estimates by (Hyper)tree Agreement
... In previous work [2], we have shown how to use convex combinations of tree-structured distributions in order to upper bound the log partition function. In this paper, we apply similar ideas to upper bound the log probability of the MAP configuration. As we show, this upper bound is met with equality ...
... In previous work [2], we have shown how to use convex combinations of tree-structured distributions in order to upper bound the log partition function. In this paper, we apply similar ideas to upper bound the log probability of the MAP configuration. As we show, this upper bound is met with equality ...
Big-O examples
... Consider sorting. When the collection of data that we are sorting is large, it is very important that an efficient algorithm is used, since we would otherwise spend more time than necessary sorting. The algorithms discussed can be applied to any type of objects, including integers, floating point ...
... Consider sorting. When the collection of data that we are sorting is large, it is very important that an efficient algorithm is used, since we would otherwise spend more time than necessary sorting. The algorithms discussed can be applied to any type of objects, including integers, floating point ...
Wavelength management in WDM rings to maximize the
... The best known approximation algorithms for maxRPC (and maxPC) in undirected rings has approximation ratio 3/2 [17, 18] while an 11/7-approximation algorithm for maxRPC in bidirected rings is presented in [18]. Interesting variants of the maxRPC and maxPC problems are their profit versions where con ...
... The best known approximation algorithms for maxRPC (and maxPC) in undirected rings has approximation ratio 3/2 [17, 18] while an 11/7-approximation algorithm for maxRPC in bidirected rings is presented in [18]. Interesting variants of the maxRPC and maxPC problems are their profit versions where con ...
An Adaptive Restarting Genetic Algorithm for Global
... Therefore, to make a fair comparison, the maximum number of objective function evaluations of the proposed GA was set exactly the same as in the publication of Nasir and Tokhi [29] as indicated in Table 3. In addition, a traditional GA, which is exactly the same as the proposed GA except two things: ...
... Therefore, to make a fair comparison, the maximum number of objective function evaluations of the proposed GA was set exactly the same as in the publication of Nasir and Tokhi [29] as indicated in Table 3. In addition, a traditional GA, which is exactly the same as the proposed GA except two things: ...
The Multiple Knapsack Problem Approached by a Binary Differential
... The Genetic Algorithms (GA) are one of the best known and most used algorithms from the Evolutionary Computation field and was proposed by John Holland in 1975 [7]. The inspiration behind GA is based on Darwin’s theory of evolution of species. In nature, individuals from different populations compet ...
... The Genetic Algorithms (GA) are one of the best known and most used algorithms from the Evolutionary Computation field and was proposed by John Holland in 1975 [7]. The inspiration behind GA is based on Darwin’s theory of evolution of species. In nature, individuals from different populations compet ...
A Comparative Analysis of Association Rules Mining Algorithms
... two sub problems. One is to find those itemsets whose occurrences exceed a predefined threshold in the database; those itemsets are called frequent or large itemsets. The second problem is to generate association rules from those large itemsets with the constraints of minimal confidence. Support and ...
... two sub problems. One is to find those itemsets whose occurrences exceed a predefined threshold in the database; those itemsets are called frequent or large itemsets. The second problem is to generate association rules from those large itemsets with the constraints of minimal confidence. Support and ...
Lecture 1: What to learn
... Useful for biological, studies : events of interests are either abundant and rare. most of time it works; not always, Challenges: to know which method works, when, why? Examples first, then STAT Generalization; 13 -Lecture 1 how to ask questions (problem formulation); ...
... Useful for biological, studies : events of interests are either abundant and rare. most of time it works; not always, Challenges: to know which method works, when, why? Examples first, then STAT Generalization; 13 -Lecture 1 how to ask questions (problem formulation); ...
REVISITING THE INVERSE FIELD OF VALUES PROBLEM
... Following Uhlig, we shall use the acronym “FOV” for “field of values”. The inverse FOV (iFOV) problem attracted the attention of several authors, e.g., of Carden [2] and Meurant [10], and different methods of solution have been proposed. A new method that is simpler and faster than the existing ones ...
... Following Uhlig, we shall use the acronym “FOV” for “field of values”. The inverse FOV (iFOV) problem attracted the attention of several authors, e.g., of Carden [2] and Meurant [10], and different methods of solution have been proposed. A new method that is simpler and faster than the existing ones ...
Design and implementation of parallel algorithms for highly
... – Use FPM to define the performance of processing units » The absolute speed of processor is represented by a function of problem size rather by a constant » Natural, simple and general (applicable to any processing unit) • No architectural parameters ...
... – Use FPM to define the performance of processing units » The absolute speed of processor is represented by a function of problem size rather by a constant » Natural, simple and general (applicable to any processing unit) • No architectural parameters ...
The Unbearable Lightness of Consensus
... From fail-stop to fail-silent We assume a majority of correct processes In the 1-N algorithm, the writer writes in a majority using a timestamp determined locally and the reader selects a value from a majority and then imposes this value on a majority In the N-N algorithm, the writers determi ...
... From fail-stop to fail-silent We assume a majority of correct processes In the 1-N algorithm, the writer writes in a majority using a timestamp determined locally and the reader selects a value from a majority and then imposes this value on a majority In the N-N algorithm, the writers determi ...
PPT
... ▫ When the queue overflows to the rear (i.e., queueRear points to the last array position): Check value of queueFront If value of queueFront indicates that there is room in the front of the array, slide all of the queue elements toward the first array position ...
... ▫ When the queue overflows to the rear (i.e., queueRear points to the last array position): Check value of queueFront If value of queueFront indicates that there is room in the front of the array, slide all of the queue elements toward the first array position ...
from Terrel Smith`s class, MS-Powerpoint slide set
... • Let S be a set of one or more positive integers all of which are greater than some fixed integer. If this is so, then S has a least element – EX: all of the positive integers of the form 46-7k, where k is an integer. • The least element is 4 because when k=6, the output is 4 but when k=7, the outp ...
... • Let S be a set of one or more positive integers all of which are greater than some fixed integer. If this is so, then S has a least element – EX: all of the positive integers of the form 46-7k, where k is an integer. • The least element is 4 because when k=6, the output is 4 but when k=7, the outp ...
Notes for Lecture 11
... Given a finite set U of items, a size s(u) Z+, a capacity B, find a subset U'U such that ...
... Given a finite set U of items, a size s(u) Z+, a capacity B, find a subset U'U such that ...
Untersuchungen zur MAC Address Translation (MAT)
... Hash functions have a search complexity of ideally O(1) and memory demand of O(N) Problem when using (hardware) hash functions: High performance for different key sets Low hardware costs for a hardware implementation ...
... Hash functions have a search complexity of ideally O(1) and memory demand of O(N) Problem when using (hardware) hash functions: High performance for different key sets Low hardware costs for a hardware implementation ...
lecture1212
... Given a finite set U of items, a size s(u) Z+, a capacity B, find a subset U'U such that ...
... Given a finite set U of items, a size s(u) Z+, a capacity B, find a subset U'U such that ...
Heap Sort
... data structure implemented as an array of objects, where the search keys correspond to the array indices ► Insert and find operations involve straight forward array accesses: O(1) time complexity ...
... data structure implemented as an array of objects, where the search keys correspond to the array indices ► Insert and find operations involve straight forward array accesses: O(1) time complexity ...
Document
... Articulated-Body Algorithm • Consider an articulate robot as a single joint attached to an articulated body – The problem simplifies to the forward dynamics of a one-joint robot (much simpler than the general case) – The first joint is simply a one-joint robot – The second joint is a one-joint robo ...
... Articulated-Body Algorithm • Consider an articulate robot as a single joint attached to an articulated body – The problem simplifies to the forward dynamics of a one-joint robot (much simpler than the general case) – The first joint is simply a one-joint robot – The second joint is a one-joint robo ...