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Large–Scale Tikhonov Regularization for Total Least
Large–Scale Tikhonov Regularization for Total Least

... a linear model is error free, and all errors are confined to the right hand side b. However, in engineering applications this assumption is often unrealistic. Many problems in data estimation are obtained by linear systems where both, the matrix A and the right-hand side b, are contaminated by noise ...
Gap Inequalities for the Max-Cut Problem: a
Gap Inequalities for the Max-Cut Problem: a

Bridge Mathematics SPI`s
Bridge Mathematics SPI`s

... were less important. Although we must teach them all we realize that some do not require the time and effort that the others do. I will indicate the less important ones by putting them at the end of the section and will mark them “not as important”. Number Sense and Operation  3181.1.5.1 Understand ...
Enforcement in Abstract Argumentation via Boolean Optimization
Enforcement in Abstract Argumentation via Boolean Optimization

... are used as practical NP-oracles by calling them several times, refining the solution each time [32, 33, 56]. The computational problems where we perform acceptance queries on a given AF are in this work regarded as static, or non-dynamic, since we assume that the AF does not change in time. However ...
Regularization Tools
Regularization Tools

... problems in details, for displaying these properties, and for easy generation of simple test problems. By means of the routines in Regularization Tools, the user can— at least for small to medium-size problems—experiment with different regularization strategies, compare them, and draw conclusions fr ...
DOMAIN-INDEPENDENT LOCAL SEARCH for LINEAR INTEGER
DOMAIN-INDEPENDENT LOCAL SEARCH for LINEAR INTEGER

Stochastic Search and Surveillance Strategies for
Stochastic Search and Surveillance Strategies for

Appendix - UBC Math
Appendix - UBC Math

... where S ≥ 0 is the rate of studying and f ≥ 0 is the rate of forgetting. We will assume that S and f are constants that are different for each person. [Your answers to the following questions will contain constants such as S or f .] (a) Mary never forgets anything. What does this imply about the con ...
Optimizing Network Resource Sharing in Grids
Optimizing Network Resource Sharing in Grids

... scaling, that b = 1. We claim that the solution of the linear program (3) can be computed in polynomial time. Indeed, the constraints (1) and (1) now write AX 6 C, where: • A is a matrix of size (N + M ) × K. There are N rows for the ingress points, followed by M rows for the egress points. There is ...
Informed RRT*: Optimal Sampling-based Path Planning Focused via
Informed RRT*: Optimal Sampling-based Path Planning Focused via

... the current solution path. This assumes that the current solution is either homotopic to the optimum or separated only by small obstacles. As this assumption is not generally true, path-biasing algorithms must also continue to sample globally to avoid local optima. The ratio of these two sampling me ...
Vydatná motivace jako predkrm, porádná porce Gödelových vet a
Vydatná motivace jako predkrm, porádná porce Gödelových vet a

... I Natural language and natural reasoning scenarios cognitive science, psychology, linguistics, and philosophy Aim: to understand valid reasoning in natural reasoning scenarios and their transformations into formal one II Formal interpreted languages and artificial reasoning scenarios mathematics and ...
Assigning agents to a line
Assigning agents to a line

... must be allocated to positions with limited capacities, and propose an algorithm for it based on market-clearing prices, which also guarantees that assignments are envy-free, i.e., no agent would prefer the assignment of some other agent. Their algorithm, however, is not strategyproof, i.e., it does ...
Computing the Greatest Common Divisor of - CECM
Computing the Greatest Common Divisor of - CECM

... in the size of coefficients when using naive methods to solve linear equations over F[x1 , . . . , xn ]. Using homomorphisms to map the GCD problem to a simpler domain can improve arithmetic calculation and lead to better approaches to avoid the problems with coefficient growth. In [1], Brown develo ...
q ~r - UBC Computer Science
q ~r - UBC Computer Science

q ~r
q ~r

... By the end of this unit, you should be able to: – Explore the consequences of a set of propositional logic statements by application of equivalence and inference rules, especially in order to massage statements into a desired form. – Critique a propositional logic proof; that is, determine whether o ...
q ~r
q ~r

... By the end of this unit, you should be able to: – Explore the consequences of a set of propositional logic statements by application of equivalence and inference rules, especially in order to massage statements into a desired form. – Critique a propositional logic proof; that is, determine whether o ...
Martingale problem approach to Markov processes
Martingale problem approach to Markov processes

... Markov chains and Markov processes have played a very important role in applications of probability theory to real world problems. The early development of probability theory focused on experiments that could be repeated large number of times leading to the law of large numbers and central limit the ...
The problems in this booklet are organized into strands. A
The problems in this booklet are organized into strands. A

... WWW.C E M C .U WAT E R LO O.C A | T h e C E N T R E fo r E D U C AT I O N i n M AT H E M AT I C S a n d CO M P U T I N G ...
Member buckling with tension flange restraint
Member buckling with tension flange restraint

... fibres, the two stresses combine and collapse results if the combined stresses reach yield. This is obviously a highly simplistic explanation, as plasticity, residual stresses and second-order effects also contribute to the buckling behaviour, but the simple explanation is useful when developing the ...
The Traveling Salesman Problem
The Traveling Salesman Problem

... Objective is to minimize the total length of the tour. ...
SOME FEATURES OF α-T0 SPACES IN SUPRA FUZZY TOPOLOGY
SOME FEATURES OF α-T0 SPACES IN SUPRA FUZZY TOPOLOGY

... Definition: Let (X, t) and (X, s) be two topological spaces. Let t* and s* are associated supra topologies with t and s. respectively and f : (X, t*)  (Y, s*) be a function. Then the function f is a supra fuzzy continuous if the inverse image of each i.e., if for any v  s*, f-1 (v)  t*. The funct ...
- Wiley Online Library
- Wiley Online Library

... interpolation [12, 21, 22] or piecewise linear basis functions [14, 23]. In the context of solution of differential equations with random inputs, in addition to approximating the unknown stochastic solution, we are also interested in computing its moments, e.g. mean and variance. These moments are d ...
Public-key encryption
Public-key encryption

... Implementing RSA – Fermat-test ƒ Fermat theorem: if p prime and gcd(b, p) = 1, then bp-1 ≡ 1 (mod p) ƒ a composite number n is pseudo-prime for a base b if bn-1 ≡ 1 (mod n) where 1 < b < n and gcd(b, n) = 1 Public-key encryption / RSA ...
Efficient Pseudorandom Generators Based on the DDH Assumption
Efficient Pseudorandom Generators Based on the DDH Assumption

Coping with friction for non-penetrating rigid body simulation
Coping with friction for non-penetrating rigid body simulation

... the units of mass times acceleration and cannot produce velocity discontinuities.) The first result of this paper is a proof that computing friction forces according to the principle of constraints is likely to require exponential time (section 5). Under the Coulomb friction model, even in the absen ...
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Lateral computing

Lateral computing is a lateral thinking approach to solving computing problems.Lateral thinking has been made popular by Edward de Bono. This thinking technique is applied to generate creative ideas and solve problems. Similarly, by applying lateral-computing techniques to a problem, it can become much easier to arrive at a computationally inexpensive, easy to implement, efficient, innovative or unconventional solution.The traditional or conventional approach to solving computing problems is to either build mathematical models or have an IF- THEN -ELSE structure. For example, a brute-force search is used in many chess engines, but this approach is computationally expensive and sometimes may arrive at poor solutions. It is for problems like this that lateral computing can be useful to form a better solution.A simple problem of truck backup can be used for illustrating lateral-computing. This is one of the difficult tasks for traditional computing techniques, and has been efficiently solved by the use of fuzzy logic (which is a lateral computing technique). Lateral-computing sometimes arrives at a novel solution for particular computing problem by using the model of how living beings, such as how humans, ants, and honeybees, solve a problem; how pure crystals are formed by annealing, or evolution of living beings or quantum mechanics etc.
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