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Guest lecture - Department of Mathematics & Statistics | McMaster
Guest lecture - Department of Mathematics & Statistics | McMaster

... • Model and experiment: “cooperators” win at boundary ...
Introduction to Discrete Optimization
Introduction to Discrete Optimization

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Towards Scalable Traffic Management in Cloud Data Centers
Towards Scalable Traffic Management in Cloud Data Centers

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Slajd 1
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... processors, using CLUTERIX grid resources. Such number of simulated neurons allowed us to observe liquid computing phenomena. In theory cortical microcircuits are treated as Liquid State Machines (LSM). The work of each machine resembles behaviour of particles in a liquid. Though, we also present so ...
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DNA replication notes
DNA replication notes

... *Because human DNA is so very long (with up to 80 million base pairs in a chromosome) it unzips at multiple places along its length so that the replication process is going on simultaneously at hundreds of places along the length of the chain. Eventually these areas run together to form a complete c ...
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Enhanced Traveling Salesman Problem Solving by Genetic
Enhanced Traveling Salesman Problem Solving by Genetic

... the principles of natural selection. The formal theory was initially developed by John Holland and his students in the 1970’s [1, 2]. The continuing improvement in the price/performance value of GA’s has made them attractive for many types of problem solving optimization methods. In particular, gene ...
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... and production rate of oil wells by gas lift method is considered. Under certain natural assumptions, the general problem is reduced to the linear quadratic control problem ( LQCP) that allows one to find program controls and trajectories on which optimal regulator is constructed over the whole or a ...
Differential Equations
Differential Equations

... GAs are programs used to deal with optimization problems. GAs have first been introduced by Holland. Their goal is to find optimum of a given function F on a given search space S. GAs are very robust techniques able to deal with a very large class of optimisation problems. The key idea of genetic al ...
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Joint Regression and Linear Combination of Time

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Keynotes - IEEE Computer Society

... improved significantly by the use of artificial neural networks (ANN), such as deep feedforward multilayer perceptrons and recurrent neural networks (incl. long short-term memory extension). In addition, from the architectural point of view, there are a number of novel concepts like CTC (connectioni ...
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... relaxed problem is an admissible heuristic for the original problem. – number-of-tiles-out-of-place heuristic: the rules of the 8-puzzle are relaxed so that a tile can move anywhere – Manhattan heuristic: the rules of the 8-puzzle are relaxed so that a tile can move to any adjacent square – minimal ...
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... of its reliability and resilience. • The Subset Simulation method is one of the first steps towards efficient estimation of reliability of critical infrastructure networks. • To make it practical, realistic models for link correlations, cascading failures and multilayer networks are required. • To s ...
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... only two persons. Assuming, the missionaries are safe so far their number is greater than or equal to the number of cannibals whenever they are together. i. Represent the problem as a state problem and identify the initial state and the goal state. ii. Identify the operators that can be used in solv ...
Uses and Abuses of Mathematics in Biology
Uses and Abuses of Mathematics in Biology

... the simpler aspects of “pure mathematemphasis than it usually gets is that, in ics” such as numbers, algebra, elemensuch exploration of mathematical modtary trigonometry. Taught well, the emels, the understanding emerging from phasis is on clarity of thought, rigor, complex computer-based simulation ...
Biological Sequence Data and Databases
Biological Sequence Data and Databases

... When a theory exists but cannot be applied because of its complexity (e.g. we fully understand the theory of hurricanes, but the physics of turbulence is too complex) When experiments are impossible or too cumbersome (e.g. experiments with blood flow in humans, etc.) ...
Neuro-Fuzzy System Optimized Based Quantum Differential
Neuro-Fuzzy System Optimized Based Quantum Differential

... Neuro-fuzzy model "ANFIS" to train the system by historical data of gold price and predict the gold price in the Forex market. The proposed model was implemented and evaluated using gold price in the Forex market and compared with ANN and ANFIS models. The obtained result showed the performance of t ...
Assessment and Authorization for Cloud Computing
Assessment and Authorization for Cloud Computing

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Fast Root Cause Analysis on Distributed Systems by Composing
Fast Root Cause Analysis on Distributed Systems by Composing

... each component class of the system. This means that if a system is composed of 1000 components of the same type, only a single compilation for the component would be required, leveraging the fact that most complex systems have a large number of replicated components. In order to include connections ...
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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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