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14281
Multiple Solutions for the Discrete p-Laplacian Boundary Value Problems
Published 2014-01-01Get full text
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14282
Moment Equations in Modeling a Stable Foreign Currency Exchange Market in Conditions of Uncertainty
Published 2013-01-01“…The paper develops a mathematical model of foreign currency exchange market in the form of a stochastic linear differential equation with coefficients depending on a semi-Markov process. …”
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14283
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14284
A Boundary Value Problem for Bihypermonogenic Functions in Clifford Analysis
Published 2014-01-01Get full text
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14285
Integral-Type Operators from Bloch-Type Spaces to QK Spaces
Published 2011-01-01Get full text
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14286
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14287
On a Partial Boundary Value Condition of a Porous Medium Equation with Exponent Variable
Published 2020-01-01Get full text
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14288
Equivariant Hopf Bifurcation in a Time-Delayed Ring of Antigenic Variants
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14289
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14290
Quasilinearization for the Boundary Value Problem of Second-Order Singular Differential System
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14291
Boundedness of solutions of matrix nonlinear volterra difference equations
Published 2002-01-01Get full text
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14292
On the normal approximation for weakly dependent random variables
Published 2005-12-01Get full text
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14293
Topological Properties of the Complex Vector Lattice of Bounded Measurable Functions
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14294
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14295
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14296
4-H Weather and Climate Workshop
Published 2009-04-01“…Includes relevant Sunshine State Standards in Science, Mathematics, and Visual Arts. Published by the UF Department of Agricultural and Biological Engineering, March 2009. …”
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14297
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14298
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14299
Products of Toeplitz Operators on the 2-Analytic Bergman Space
Published 2021-01-01Get full text
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14300
Significance of supervision sampling in control of communicable respiratory disease simulated by a new model during different stages of the disease
Published 2025-01-01“…The Chinese government has replaced scaling up testing with monitoring focus groups and randomly supervising sampling, encouraging scientific research on the COVID-19 transmission curve to be confirmed by constructing epidemiological models, which include statistical models, computer simulations, mathematical illustrations of the pathogen and its effects, and several other methodologies. …”
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