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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    A First Course in Probability and Markov Chains (repost)

    Posted By: libr
    A First Course in Probability and Markov Chains (repost)

    A First Course in Probability and Markov Chains by Giuseppe Modica and Laura Poggiolini
    English | 2013 | ISBN: 1119944872 | ISBN-13: 9781119944874 | 346 pages | PDF | 3,5 MB

    Provides an introduction to basic structures of probability with a view towards applications in information technology.
    A First Course in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas.

    The first part explores notions and structures in probability, including combinatorics, probability measures, probability distributions, conditional probability, inclusion-exclusion formulas, random variables, dispersion indexes, independent random variables as well as weak and strong laws of large numbers and central limit theorem. In the second part of the book, focus is given to Discrete Time Discrete Markov Chains which is addressed together with an introduction to Poisson processes and Continuous Time Discrete Markov Chains. This book also looks at making use of measure theory notations that unify all the presentation, in particular avoiding the separate treatment of continuous and discrete distributions.

    A First Course in Probability and Markov Chains:
    • Presents the basic elements of probability.
    • Explores elementary probability with combinatorics, uniform probability, the inclusion-exclusion principle, independence and convergence of random variables.
    • Features applications of Law of Large Numbers.
    • Introduces Bernoulli and Poisson processes as well as discrete and continuous time Markov Chains with discrete states.
    • Includes illustrations and examples throughout, along with solutions to problems featured in this book.
    The authors present a unified and comprehensive overview of probability and Markov Chains aimed at educating engineers working with probability and statistics as well as advanced undergraduate students in sciences and engineering with a basic background in mathematical analysis and linear algebra.