Bokus

Mark S. Squillante – författare

Visar alla böcker från författaren Mark S. Squillante. Handla med fri frakt och snabb leverans.

3 produkter

  1. Guy Latouche, Vaidyanathan Ramaswami, Jay Sethuraman, Karl Sigman, Mark S. Squillante, David Yao - Matrix-Analytic Methods in Stochastic Models, Inbunden. Tillgänglighet: Lägg i varukorg

    Matrix-Analytic Methods in Stochastic Models

    Av Guy Latouche, Vaidyanathan Ramaswami m. fl.

    Inbunden, 2012

    1097 kr

    Lägg i varukorg

    Matrix-analytic and related methods have become recognized as an important and fundamental approach for the mathematical analysis of general classes of complex stochastic models. Research in the area of matrix-analytic and related methods seeks to discover underlying probabilistic structures …

  2. David Yao, Mark S. Squillante, Karl Sigman, Jay Sethuraman, Vaidyanathan Ramaswami, Guy Latouche - Matrix-Analytic Methods in Stochastic Models, E-bok. Tillgänglighet: Lägg i varukorg

    Matrix-Analytic Methods in Stochastic Models

    Av David Yao, Mark S. Squillante m. fl.

    E-bok, 2012

    1459 kr

    Lägg i varukorg

    Matrix-analytic and related methods have become recognized as an important and fundamental approach for the mathematical analysis of general classes of complex stochastic models. Research in the area of matrix-analytic and related methods seeks to discover underlying probabilistic structures …

  3. Guy Latouche, Vaidyanathan Ramaswami, Jay Sethuraman, Karl Sigman, Mark S. Squillante, David Yao - Matrix-Analytic Methods in Stochastic Models, Häftad. Tillgänglighet: Lägg i varukorg

    Matrix-Analytic Methods in Stochastic Models

    Av Guy Latouche, Vaidyanathan Ramaswami m. fl.

    Häftad, 2015

    1095 kr

    Lägg i varukorg

    Matrix-analytic and related methods have become recognized as an important and fundamental approach for the mathematical analysis of general classes of complex stochastic models. Research in the area of matrix-analytic and related methods seeks to discover underlying probabilistic structures …