安心地散步
发表于 2025-3-26 21:26:25
http://reply.papertrans.cn/67/6672/667134/667134_31.png
大都市
发表于 2025-3-27 01:46:58
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
宇宙你
发表于 2025-3-27 06:02:54
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
一个搅动不安
发表于 2025-3-27 12:00:11
http://reply.papertrans.cn/67/6672/667134/667134_34.png
faucet
发表于 2025-3-27 17:00:50
http://reply.papertrans.cn/67/6672/667134/667134_35.png
Strength
发表于 2025-3-27 19:53:53
http://reply.papertrans.cn/67/6672/667134/667134_36.png
锡箔纸
发表于 2025-3-27 22:32:57
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
ectropion
发表于 2025-3-28 06:00:20
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.
易弯曲
发表于 2025-3-28 08:31:19
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.
转向
发表于 2025-3-28 14:29:42
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