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pptx
pptx

... • 1970s: Solovay-Strassen primality test • No deterministic test known (at that time) • Polynomial identity: No deterministic test today Any efficiently physically computable function can be computed by an efficient Turing machine ...
Iterative Solution of Linear Systems
Iterative Solution of Linear Systems

... (plus some dot products, etc.) • If matrix is nn and has m nonzero entries, each iteration is O(max(m,n)) • Conjugate gradients may need n iterations for ...
Simple, Complex, Super-complex Systems
Simple, Complex, Super-complex Systems

Curriculum Vita - Department of Mathematics and Computer Science
Curriculum Vita - Department of Mathematics and Computer Science

... models of operations research. Topics include linear programming and the simplex algorithm, transportation and assignment problems, graphs and network flows, dynamic programming, and sensitivity analysis. Probabilistic Methods of Operations Research: The theory and applications of probabilistic mode ...
Curriculum Vita - Department of Mathematics and Computer Science
Curriculum Vita - Department of Mathematics and Computer Science

... models of operations research. Topics include linear programming and the simplex algorithm, transportation and assignment problems, graphs and network flows, dynamic programming, and sensitivity analysis. Probabilistic Methods of Operations Research: The theory and applications of probabilistic mode ...
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- Connect Innovate UK

... • http://www.rothamsted.ac.uk/long-term-experiments-national-capability ...
Newly identified cross-membranes orchestrate
Newly identified cross-membranes orchestrate

... Introduction. Streptomyces are filamentous soil-dwelling saprophytes, well-known for their complex multicellular life style and their ability to produce a plethora of natural products, including antibiotics, anticancer agents and immunosuppressants. After spore germination, hyphae grow by tip extens ...
Thinking Meat?! - Distributed Cognition and Human
Thinking Meat?! - Distributed Cognition and Human

... intelligence seen in human action: that in real situations behavior appropriate to the ends of the system and adaptive to the demands of the environment can occur, within some physical limits. ...
Call For Papers - Department of Computing Science
Call For Papers - Department of Computing Science

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The Learnability of Quantum States
The Learnability of Quantum States

... Estimating a sum of exponentially many positive or negative numbers: #P-complete Estimating a sum of exponentially many nonnegative numbers: Still hard, but known to be in BPPNP  PH If quantum mechanics could be efficiently simulated classically, then these two problems would become equivalent—ther ...
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... had just calculated the collision integrals for an exponential repulsion potential, and Mason had just worked on the kinetic theory for dissociated gases, where multiple interactions occur between valence-unsaturated atoms, which depend on the relative orientations of the electron spins. The latter ...
CS 9633 Knowledge Discovery and Data Mining
CS 9633 Knowledge Discovery and Data Mining

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Seven Years of Anti-Spoofing

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Theoretical Foundation for Jung`s "Mandala Symbolism" Based on

... mass exchange. The second is their ability to the self-reproduction through soft, not elastic interactions. These features should be included in the initial theory which is pretended on the description and mathematical modeling of living systems behavior as main principles. To construct such a theor ...
Design and implementation of parallel algorithms for highly
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 ...
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Proof-based formal methods for WSN development

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... In many applications, like bioinformatics, statistics and text processing, datasets are characterized by high dimensionality e.g. over 100 dimensions -> 2100 cuboids in a full cube. As huge cube there is infeasible computation time. Iceberg cube is not an ultimate solution as it cannot be incrementa ...
Genetic Algorithms
Genetic Algorithms

... • After selection and crossover, you now have a new population full of individuals. • Some are directly copied, and others are produced by crossover. • In order to ensure that the individuals are not all exactly the same, you allow for a small chance of mutation. • You loop through all the alleles o ...
AP Computer Science Principles
AP Computer Science Principles

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lecture notes
lecture notes

... • This allows each DNA site to choose its “favourite” tree in the network, independently of the others. • From a modelling perspective this is both a strength and a weakness (too liberal). • In any case: just solving the small parsimony problem on a network is, from a computational perspective, ...
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Chapter 2 Data Representation on Bio

... 2.2 Data Representation for Biomolecular Computing  The interesting question is to how to handle all these data types in Figure 2.1.1.  Of course, the most efficient solution for the interesting question is to use a uniform representation of data.  All data types from outside bio-molecular comp ...
Low copy number (LCN) DNA testing
Low copy number (LCN) DNA testing

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New Frontier in Informatics and Systems
New Frontier in Informatics and Systems

... Images can be treated as one of the most important materials for the interface in the information science. Our research activities cover the various fields of image processing. The individual research subjects include: ...
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Natural computing

Natural computing, also called natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from nature for the development of novel problem-solving techniques; 2) those that are based on the use of computers to synthesize natural phenomena; and 3) those that employ natural materials (e.g., molecules) to compute. The main fields of research that compose these three branches are artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, fractal geometry, artificial life, DNA computing, and quantum computing, among others.Computational paradigms studied by natural computing are abstracted from natural phenomena as diverse as self-replication, the functioning of the brain, Darwinian evolution, group behavior, the immune system, the defining properties of life forms, cell membranes, and morphogenesis. Besides traditional electronic hardware, these computational paradigms can be implemented on alternative physical media such as biomolecules (DNA, RNA), or trapped-ion quantum computing devices.Dually, one can view processes occurring in nature as information processing. Such processes include self-assembly, developmental processes, gene regulation networks, protein-protein interaction networks, biological transport (active transport, passive transport) networks, and gene assembly in unicellular organisms. Efforts tounderstand biological systems also include engineering of semi-synthetic organisms, and understanding the universe itself from the point of view of information processing. Indeed, the idea was even advanced that information is more fundamental than matter or energy. The Zuse-Fredkin thesis, dating back to the 1960s, states that the entire universe is a huge cellular automaton which continuously updates its rules.Recently it has been suggested that the whole universe is a quantum computer that computes its own behaviour.
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