According to Heisenberg's uncertainty relation, there is an ultimate limit how precisely we may predict the outcome of position and momentum measurements on a quantum system. We show that this be violated by arbitrarily large factor if one aims, instead, guess unknown value past measurement. For experiments single system, precise assignment measurement outcomes accompanied about their linear co...

using the mean-value theorem for integrals we tried to solved the nonlinear integral equations of hammerstein type . the mean approach is to obtain an initial guess with unknown coefficients for unknown function y(x). the procedure of this method is so fast and don't need high cpu and complicated programming. the advantages of this method are that we can applied for those integral equation...

Ocean data assimilation systems combine observations with information from prediction models to produce an analysis or estimate of the ocean state. Statistical interpolation assimilation methods use observations to correct a model-based first guess and require specification of first-guess and observation error statistics. Often the first-guess error covariance (FGEC) is described by an analytic...

Two dimensional chirp signal has been used for modeling gray scale symmetric images in the statistical signal processing literature. In this paper we propose a computationally efficient algorithm for estimating different parameters of a two dimensional chirp signal model in presence of stationary noise. Starting from a suitable initial guess value, the proposed method produces estimators which ...

Abstract Assessment of Manning’s unevenness factor is critical significance in hydraulic readings open channel stream. ( n n ) obligatory for the computation releases, water levels, and backwater curves, as well plan curve additions. The correct value roughness coefficient ), i. H. a that accurately reflects observed d...

In this paper we consider guessing attacks upon security protocols, where an intruder guesses one of the values used (typically a poorly-chosen password) and then seeks to verify that guess. We formalise such attacks, and in particular the way in which the guess is verified. We then describe how to model such attacks within the process algebra CSP, so that they can be detected using the model c...

B–4 An integer n, unknown to you, has been randomly chosen in the interval [1, 2002] with uniform probability. Your objective is to select n in an odd number of guesses. After each incorrect guess, you are informed whether n is higher or lower, and you must guess an integer on your next turn among the numbers that are still feasibly correct. Show that you have a strategy so that the chance of w...

In this paper we consider guessing attacks upon security protocols, where an intruder guesses one of the values used (typically a poorlychosen password) and then seeks to verify that guess. We formalise such attacks, and in particular the way in which the guess is verified. We then describe how to model such attacks within the process algebra CSP, so that they can be detected using the model ch...

In a guessing game, players guess the value of a random real number selected using some probability density function. The winner may be determined in various ways; for example, a winner can be a player whose guess is closest in magnitude to the target, or a winner can be a player coming closest without guessing higher than the target. We study optimal strategies for players in these games and d...