Preliminary review / Publisher`s description: This self
... mathematicians to optimization and related topics that have been ignored up to now in the occidental academic world. 2. The book is totally self-contained, although some familiarity with basic calculus and algebra could help the reader. The first contact with each topic is intuitive, showing the geo ...
... mathematicians to optimization and related topics that have been ignored up to now in the occidental academic world. 2. The book is totally self-contained, although some familiarity with basic calculus and algebra could help the reader. The first contact with each topic is intuitive, showing the geo ...
Tracking the algal origin of the Ulva bloom in the Yellow Sea by a
... unambiguous. But the ITS nrDNA alignment contained many insertions and deletions. The combined data set contained the ITS nrDNA and rbcL sequences (Hayden et al., 2003). Prior to analysis of the combined data, the incongruence length difference test was conducted. The phylogenetic trees were constru ...
... unambiguous. But the ITS nrDNA alignment contained many insertions and deletions. The combined data set contained the ITS nrDNA and rbcL sequences (Hayden et al., 2003). Prior to analysis of the combined data, the incongruence length difference test was conducted. The phylogenetic trees were constru ...
Constant-Time LCA Retrieval
... If u is an ancestor of v then all those nodes visited between u and v are in u’s subtree, and thus the depth-number assigned to u is minimal in I. If u is not an ancestor of v, then all those nodes visited between u and v are in lca(u,v)’s subtree, and the traversal must visit lca(u,v). Thus the min ...
... If u is an ancestor of v then all those nodes visited between u and v are in u’s subtree, and thus the depth-number assigned to u is minimal in I. If u is not an ancestor of v, then all those nodes visited between u and v are in lca(u,v)’s subtree, and the traversal must visit lca(u,v). Thus the min ...
Monte-Carlo Tree Search for the Physical Travelling Salesman
... Games such as Chess have always been a popular testbed in the field of Artificial Intelligence to prototype, evaluate and compare novel techniques. The majority of games considered in the literature are two-player turn-taking zero-sum games of perfect information, though in recent years the study of ...
... Games such as Chess have always been a popular testbed in the field of Artificial Intelligence to prototype, evaluate and compare novel techniques. The majority of games considered in the literature are two-player turn-taking zero-sum games of perfect information, though in recent years the study of ...
2.1 Pairwise Alignment
... operations (insertions, deletions and substitutions) needed to transform the rst string into the other. Each operation is given a score (weight), usually, insert and delete (indel) operations are given the same score, and using alignment algorithms, we search for the minimal scoring (or the maximum ...
... operations (insertions, deletions and substitutions) needed to transform the rst string into the other. Each operation is given a score (weight), usually, insert and delete (indel) operations are given the same score, and using alignment algorithms, we search for the minimal scoring (or the maximum ...
document
... • “essential mindlessness in the conduct of research” (Bakan 1966) • “In practice, of course, tests of significance are not taken seriously” (Guttman 1985) • “simple P-values are not now used by the best statisticians” (Barnard 1998) ...
... • “essential mindlessness in the conduct of research” (Bakan 1966) • “In practice, of course, tests of significance are not taken seriously” (Guttman 1985) • “simple P-values are not now used by the best statisticians” (Barnard 1998) ...
what is alignment? - UWI St. Augustine
... Basis for Sequence comparison • Theory of evolution: – gene sequences have evolved/derived from a common ancestor – trace history of mutations/evolutionary changes ...
... Basis for Sequence comparison • Theory of evolution: – gene sequences have evolved/derived from a common ancestor – trace history of mutations/evolutionary changes ...
Bayes Net Parameter Learning.
... 3.8 Investigation of Discretization of Network Variables on Predictive Ability of Networks Many data variables used in the study of OSAS are measurements of ...
... 3.8 Investigation of Discretization of Network Variables on Predictive Ability of Networks Many data variables used in the study of OSAS are measurements of ...
The Conjugate Gradient Method
... Exact method and iterative method Orthogonality of the residuals implies that xm is equal to the solution x of Ax = b for some m ≤ n. For if xk 6= x for all k = 0, 1, . . . , n − 1 then rk 6= 0 for k = 0, 1, . . . , n − 1 is an orthogonal basis for Rn . But then rn ∈ Rn is orthogonal to all vectors ...
... Exact method and iterative method Orthogonality of the residuals implies that xm is equal to the solution x of Ax = b for some m ≤ n. For if xk 6= x for all k = 0, 1, . . . , n − 1 then rk 6= 0 for k = 0, 1, . . . , n − 1 is an orthogonal basis for Rn . But then rn ∈ Rn is orthogonal to all vectors ...
Mathematical Tools for Image Collections Outline Problems
... Given a directed graph, with distinguished nodes s, t and edge capacities ca, find the maximum flow from s to t ca ...
... Given a directed graph, with distinguished nodes s, t and edge capacities ca, find the maximum flow from s to t ca ...
Introduction to Computer Science
... Information stored and processed by computer is a small fragment of reality containing essential data to solve stated problem. We have to think which informations are essential, which can help us and which are completely useless. We have to think how we will represent choosen informations. The last ...
... Information stored and processed by computer is a small fragment of reality containing essential data to solve stated problem. We have to think which informations are essential, which can help us and which are completely useless. We have to think how we will represent choosen informations. The last ...
Routing
... • Convergent point φ∗ ◦ Exists because D(φ) is always decreasing ◦ Further, φ∗ is such that no descent direction. ◦ This implies, φ∗ is optimal. • The described algorithm is ◦ centralized → not implementable ◦ However, it’s very instructive for general optimization problems • Next, we’ll see a distr ...
... • Convergent point φ∗ ◦ Exists because D(φ) is always decreasing ◦ Further, φ∗ is such that no descent direction. ◦ This implies, φ∗ is optimal. • The described algorithm is ◦ centralized → not implementable ◦ However, it’s very instructive for general optimization problems • Next, we’ll see a distr ...
Particle Swarm Optimisation for Outlier Detection
... that of its neighbours and will have a low LOF, while for an outlier, its local density will be lower than that of its nearest neighbours, hence will get a higher LOF score. However, selecting M inP tn is non-trivial and the computation cost is directly related to the value of M inP tn. The idea of ...
... that of its neighbours and will have a low LOF, while for an outlier, its local density will be lower than that of its nearest neighbours, hence will get a higher LOF score. However, selecting M inP tn is non-trivial and the computation cost is directly related to the value of M inP tn. The idea of ...
Informed search algorithms
... can move anywhere, then h1(n) gives the shortest solution If the rules are relaxed so that a tile can move to any adjacent square, then h2(n) gives the shortest solution ...
... can move anywhere, then h1(n) gives the shortest solution If the rules are relaxed so that a tile can move to any adjacent square, then h2(n) gives the shortest solution ...
Comprehensive Exam Mainul Islam Department of Computer
... that program versions are largely similar to reduce cost and improve the quality of analysis results. • For example, during regression testing, differences can be used to focus re-testing efforts by selecting only test cases that exercise the modified code. ...
... that program versions are largely similar to reduce cost and improve the quality of analysis results. • For example, during regression testing, differences can be used to focus re-testing efforts by selecting only test cases that exercise the modified code. ...
Lecture4 - Department of Computer Science
... • Two proteins that are almost identical, except the second protein has a 20 residue insertion into the middle of the sequence. • If the window size is 15, then the SmithWaterman alignment phase of FASTA will align the protein to either the sequence prior to or following the insertion, thus missing ...
... • Two proteins that are almost identical, except the second protein has a 20 residue insertion into the middle of the sequence. • If the window size is 15, then the SmithWaterman alignment phase of FASTA will align the protein to either the sequence prior to or following the insertion, thus missing ...