Mathematical programming and the control of Markov chains
Linear and dynamic programming and Markov chain optimal control
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Linear and dynamic programming and Markov chain optimal control
Extended chain crystals of hexagonal Se temporary superheating before final melting, presenting melting equation
Linear physical chains with Sturm-Liouville characteristic polynomials used for natural frequency determination of coupled harmonic oscillators or electrical analog
Chain pooling tests for two level factorial replication-free experiments using Monte Carlo methods
Extended chain polymer crystals temporary superheating before final melting, discussing hexagonal selenium crystals data
Polyethylene extended chain crystals melting process via electron microscopy and differential thermal analysis
Transition matrix of Markov chain with finite states from noisy measurements of state, discussing algorithms convergence rates and computations
Amino acids changes distribution in specificity regions of light polypeptide chains of immunoglobulins showing correspondence with Poisson distribution
Spin-spin correlation in Heisenberg magnet linear chain at infinite temperature, discussing nonmonotonic frequency dependence
Halophilic bacteria electron transport chain, examining hydrophobic forces role in menadione reductase structure
Shock tube measurements of bimolecular reaction rates in branched chain hydrogen-carbon monoxide- oxygen system, monitoring flame band emission
Presence of ethyl esters of long-chain fatty acids determined for Rhizopus arrhizus
Bond rupture and fracture in semicrystalline polymers, noting agreement with random length molecular tie chain scission model
Bovine pituitary proteinase I action on oxidized B chain of insulin, noting preference for specific bonds
Core binding energy difference between bridging and nonbridging oxygen atoms in silicate chain of pyroxenes, using X ray photoelectron spectra
Halophilic bacteria electron transport chain, studying protein, phospholipids, flavoproteins and cytochromes sedimentation properties by electron microscopy and light scattering technique
Electron transport chain of extremely halophilic bacteria, investigating cytochrome oxidase activity dependence on pH
An iterative procedure is presented for determining the acquisition behavior of discrete or digital implementations of a tracking loop. The technique is based on the theory of Markov chains and provides the cumulative probability of acquisition in the loop as a function of time in the presence of noise and a given set of initial condition probabilities. A digital second-order tracking loop to be used in the Viking command receiver for continuous tracking of the command subcarrier phase was analyzed using this technique, and the results agree closely with experimental data.