Shor`s Algorithm for Factorizing Large Integers
... by first computing the sum or product as an ordinary integer, then taking the remainder upon division by n. These operations are easily performed in polynomial time in the input size = log(n) using a classical logical circuit or quantum circuit of size polynomial in . For x ∈ R and a ≥ 0, the val ...
... by first computing the sum or product as an ordinary integer, then taking the remainder upon division by n. These operations are easily performed in polynomial time in the input size = log(n) using a classical logical circuit or quantum circuit of size polynomial in . For x ∈ R and a ≥ 0, the val ...
Resource - EC Moore Symposium
... Carol Hostetter, PhD E.C. Moore Symposium March 4, 2010 With thanks to Valerie Decker for visual aids ...
... Carol Hostetter, PhD E.C. Moore Symposium March 4, 2010 With thanks to Valerie Decker for visual aids ...
Articles
... Best to begin writing when experiments still in progress. Demonstrates the reliability of results. Provide all the methodological details necessary for another scientist to duplicate your work. Should be narrative step, explain why each procedure was done Don’t list instructions Include animal/hum ...
... Best to begin writing when experiments still in progress. Demonstrates the reliability of results. Provide all the methodological details necessary for another scientist to duplicate your work. Should be narrative step, explain why each procedure was done Don’t list instructions Include animal/hum ...
Multi-Link Lists as Data Cube Structure in the MOLAP Environment
... Multidimensional databases and OLAP technology [Cod93] provide efficient solutions to manipulate and aggregate data in databases [CD97]. Several efficient algorithms for ROLAP [AAD+96,RS97] and MOLAP [ZDN97] systems have been developed to compute the cube. The respective data structures used for dat ...
... Multidimensional databases and OLAP technology [Cod93] provide efficient solutions to manipulate and aggregate data in databases [CD97]. Several efficient algorithms for ROLAP [AAD+96,RS97] and MOLAP [ZDN97] systems have been developed to compute the cube. The respective data structures used for dat ...
Mathematical Methods Applied to the Celestial
... maneuvers. The problem takes into account the accuracy in the constraint’s satisfaction. The adjustments made in the algorithm and the used parameters allow the convergence in most of the analyzed cases. The results show that it is possible to reduce the costs by exploring tolerable errors in the co ...
... maneuvers. The problem takes into account the accuracy in the constraint’s satisfaction. The adjustments made in the algorithm and the used parameters allow the convergence in most of the analyzed cases. The results show that it is possible to reduce the costs by exploring tolerable errors in the co ...
Simple, Complex, Super-complex Systems
... so as the paradigm shifts from simple to ‘complex’, and then again to extremely complex or supercomplex (previously called ‘ultra-complex’; Baianu, 2006; Baianu et al., 2006) classes of systems. Furthermore, each subsequent phase generalized the previous one, thus addressing previously neglected, ma ...
... so as the paradigm shifts from simple to ‘complex’, and then again to extremely complex or supercomplex (previously called ‘ultra-complex’; Baianu, 2006; Baianu et al., 2006) classes of systems. Furthermore, each subsequent phase generalized the previous one, thus addressing previously neglected, ma ...
x 1
... The mixtures x are divided into observed (xo) and missing (xm) The dimensionality of xo is 99 and the dimensionality of xm is 1 The variables in xo are uncorrelated and their variance is set to one A training data set of size 100000 and a test data set of size 1000 ...
... The mixtures x are divided into observed (xo) and missing (xm) The dimensionality of xo is 99 and the dimensionality of xm is 1 The variables in xo are uncorrelated and their variance is set to one A training data set of size 100000 and a test data set of size 1000 ...
pptx
... • If two situations are possible, nature “does not always decide” – Both situations happen “in superposition” – (Doesn’t need to make sense now) ...
... • If two situations are possible, nature “does not always decide” – Both situations happen “in superposition” – (Doesn’t need to make sense now) ...
Where are the hard problems
... • More to it than just P and NP • we are now learning about the structure of problems • the behaviour of algorithms • using this to solve the problems! ...
... • More to it than just P and NP • we are now learning about the structure of problems • the behaviour of algorithms • using this to solve the problems! ...
Theoretical computer science
Theoretical computer science is a division or subset of general computer science and mathematics that focuses on more abstract or mathematical aspects of computing and includes the theory of computation.It is not easy to circumscribe the theory areas precisely and the ACM's Special Interest Group on Algorithms and Computation Theory (SIGACT) describes its mission as the promotion of theoretical computer science and notes:Template:""To this list, the ACM's journal Transactions on Computation Theory adds coding theory, computational learning theory and theoretical computer science aspects of areas such as databases, information retrieval, economic models and networks. Despite this broad scope, the ""theory people"" in computer science self-identify as different from the ""applied people."" Some characterize themselves as doing the ""(more fundamental) 'science(s)' underlying the field of computing."" Other ""theory-applied people"" suggest that it is impossible to separate theory and application. This means that the so-called ""theory people"" regularly use experimental science(s) done in less-theoretical areas such as software system research. It also means that there is more cooperation than mutually exclusive competition between theory and application.