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標(biāo)題: Titlebook: Non-negative Matrices and Markov Chains; E. Seneta Book 1981Latest edition Springer Science+Business Media New York 1981 Markov chain.Mark [打印本頁]

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書目名稱Non-negative Matrices and Markov Chains影響因子(影響力)




書目名稱Non-negative Matrices and Markov Chains影響因子(影響力)學(xué)科排名




書目名稱Non-negative Matrices and Markov Chains網(wǎng)絡(luò)公開度




書目名稱Non-negative Matrices and Markov Chains網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Non-negative Matrices and Markov Chains被引頻次




書目名稱Non-negative Matrices and Markov Chains被引頻次學(xué)科排名




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very large only the parameters of the most important resonances (at low energies) could be included in the printed version whereas the data for resonances at higher energies are contained on the CD-ROM as Suppl978-3-540-46989-6Series ISSN 1615-1844 Series E-ISSN 1616-9522
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ameters of the subsequent gamma-rays are also included. Since the total amount of data is very large only the parameters of the most important resonances (at low energies) could be included in the printed version whereas the data for resonances at higher energies are contained on the CD-ROM as Suppl
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E. Senetaameters of the subsequent gamma-rays are also included. Since the total amount of data is very large only the parameters of the most important resonances (at low energies) could be included in the printed version whereas the data for resonances at higher energies are contained on the CD-ROM as Suppl
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https://doi.org/10.1007/0-387-32792-4Markov chain; Markowsche Kette; Matrices; Nichtnegative Matrix; ergodicity; mathematical statistics; stati
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Truncations of Infinite Stochastic MatricesFor irreducible infinite stochastic matrices . = . the approximative behaviour of finite truncations, touched on in §6.4, acquires probabilistic significance inasmuch as such matrices may be regarded in the role of transition matrices of countable Markov chains.
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978-0-387-29765-1Springer Science+Business Media New York 1981
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Non-negative Matrices and Markov Chains978-0-387-32792-1Series ISSN 0172-7397 Series E-ISSN 2197-568X
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ical processes neutron cross sections in particular at low energies are indispensable. For practical applications precise neutron data are becoming more important be it for the design of new nuclear reactors, for waste transmutation or the newly considered Thorium – Uranium cycle. This volume provid
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E. Senetational scientists.Also available online in www.springerlink..Parameters of neutron resonances play a significant role both in basic physics, but even more so for applications. For the understanding of astrophysical processes neutron cross sections in particular at low energies are indispensable. For
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tional scientists.Also available online in www.springerlink..Parameters of neutron resonances play a significant role both in basic physics, but even more so for applications. For the understanding of astrophysical processes neutron cross sections in particular at low energies are indispensable. For
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E. Senetaical processes neutron cross sections in particular at low energies are indispensable. For practical applications precise neutron data are becoming more important be it for the design of new nuclear reactors, for waste transmutation or the newly considered Thorium – Uranium cycle. This volume provid
作者: 宇宙你    時(shí)間: 2025-3-27 06:02
ical processes neutron cross sections in particular at low energies are indispensable. For practical applications precise neutron data are becoming more important be it for the design of new nuclear reactors, for waste transmutation or the newly considered Thorium – Uranium cycle. This volume provid
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Countable Stochastic Matricesry which can be developed with the extra stochasticity assumption provides a foundation whose analytical ideas may readily be generalized to countable matrices which are not necessarily stochastic; and this will be our approach in the next chapter. Secondly the theory of countable stochastic matrice
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Countable Non-negative Matricesative matrices . = {..}, ., . = 1, 2,.... In the first instance the powers ..,.?1, are all well defined (using the obvious extension of matrix multiplication); secondly the matrix . (and its powers) have row sums unity.
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Countable Stochastic Matrices the analytical development of our ideas comes, although we shall avoid probabilistic notions apart from the occasional aside. We shall not deal with inhomogeneous situations at all in the interests of brevity, since the infinite matrix theory is as yet of lesser utility than that for finite matrices.
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0172-7397 k is offered for the first time in paperback.This edition inSince its inception by Perron and Frobenius, the theory of non-negative matrices has developed enormously and is now being used and extended in applied fields of study as diverse as probability theory, numerical analysis, demography, mathem
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Inhomogeneous Products of Non-negative Matricesty and strong ergodicity, and a commonly used tool is a contraction coefficient (coefficient of ergodicity). We shall develop the general theory in this chapter. The topic of inhomogeneous products of (row) stochastic matrices has special features, and is for the most part deferred to Chapter 4.
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Book 1981Latest editiond fields of study as diverse as probability theory, numerical analysis, demography, mathematical economics, and dynamic programming, while its development is still proceeding rapidly as a branch of pure mathematics in its own right. While there are books which cover this or that aspect of the theory




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