2010
DOI: 10.1016/j.na.2010.07.035
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On recent developments in the theory of abstract differential equations with fractional derivatives

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Cited by 181 publications
(94 citation statements)
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“…El-Borai [5][6][7] used a probability density function to obtain the solutions to Cauchy problems for different fractional evolution equations. In 2010, Hernandez et al [8] proved that the concepts of mild solutions of fractional evolution equations considered in some previous papers were not appropriate. Based on the new definition of a mild solution obtained by employing the Laplace transform, Zhou et al [9][10][11][12][13][14] established the existence and uniqueness results for mild solution of different kinds of fractional evolution equations.…”
Section: Q X(t) = Ax(t) + F T X(t)mentioning
confidence: 99%
“…El-Borai [5][6][7] used a probability density function to obtain the solutions to Cauchy problems for different fractional evolution equations. In 2010, Hernandez et al [8] proved that the concepts of mild solutions of fractional evolution equations considered in some previous papers were not appropriate. Based on the new definition of a mild solution obtained by employing the Laplace transform, Zhou et al [9][10][11][12][13][14] established the existence and uniqueness results for mild solution of different kinds of fractional evolution equations.…”
Section: Q X(t) = Ax(t) + F T X(t)mentioning
confidence: 99%
“…Author details 1 Department of Automation, China University of Petroleum (Beijing), Beijing, 102249, China. 2 School of Mathematical Sciences, Qufu Normal University, Qufu, Shandong 273165, China.…”
Section: Competing Interestsmentioning
confidence: 99%
“…In recent decades, there has been a lot of interest in this type of problems, its applications and various generalizations (cf. e.g., [8][9][10][11] and references therein). It is significant to study this class of problems, because, in this way, one is more realistic to describe the memory and hereditary properties of various materials and processes (cf.…”
Section: K(t − S)g(s U(s) U(κ 2 (S)))ds T ∈ [0 T] U(0) + H(u)mentioning
confidence: 99%