This rigourous and self-contained book describes mathematicaland, in particular, stochastic methods to assess the performance ofnetworked systems. It consists of three parts. The first part is areview on probability theory. Part two covers the classical theoryof stochastic processes (Poisson, renewal, Markov and queuingtheory), which are considered to be the basic building blocks forperformance evaluation studies. Part three focuses on therelatively new field of the physics of networks. This part dealswith the recently obtained insights that many very different largecomplex networks - such as the Internet, World Wide Web, proteins,utility infrastructures, social networks - evolve and behaveaccording to more general common scaling laws. This understandingis useful when assessing the end-to-end quality of communicationsservices, for example, in Internet telephony, real-time video andinteracting games. Containing problems and solutions, this book isideal for graduate students taking courses in performanceanalys

The 5th edition of "Physics" has been edited to clarifyconceptual development in light of recent findings from physicseducation research, and the mechanics sequence has beenre-organized to that energy is a capstone topic. The presentationof thermodynamics and quantum mechanics has been updated to providea more modern approach, and the end-of-chapter problem sets havebeen thoroughly over-hauled: new problems added; out-datedreference deleted; and new short-answer conceptual questions added.The supplements package has been expanded to include more materialsfor student and instructor.

Editor Max Brockman introduces the work of some of today’sbrightest and most innovative young scientists in this fascinatingand exciting collection of writings that describe the veryboundaries of our knowledge. Future Science features nineteen young scientists, most of whomare presenting their innovative work and ideas to a generalaudience for the first time. Featured in this collection areWilliam McEwan (son of the novelist), a virologist, discussing hisresearch into the biology of antiviral immunity; Naomi Eisenberger,a neuroscientist, wondering how social rejection affects usphysically; Jon Kleinberg, a computer scientist, showing whatmassive datasets can teach us about society and ourselves; andAnthony Aguirre, a physicist, who gives readers a tantalizingglimpse of infinity.

There has been an explosive growth in the field ofcombinatorial algorithms. These algorithms depend not only onresults in combinatorics and especially in graph theory, but alsoon the development of new data structures and new techniques foranalyzing algorithms. Four classical problems in networkoptimization are covered in detail, including a development of thedata structures they use and an analysis of their running time.Data Structures and Network Algorithms attempts to provide thereader with both a practical understanding of the algorithms,described to facilitate their easy implementation, and anappreciation of the depth and beauty of the field of graphalgorithms.

Rental housing subsidy programmes have been an important partof the American welfare system since the 1930s. The Benefits ofSubsidized Housing Programs: An Intertemporal Approach is anempirical study of the distributive effects of the entire system ofrental housing subsidies for lower-income households based on anational sample. Using the 1977 Annual Housing Survey, ProfessorHammond has evaluated the benefits of all federal, state and localgovernment rental housing subsidy programmes taken as a wholeacross the nation. Additionally, she has estimated the changes inconsumption patterns resulting from these programmes and therelationship between household benefit and household income;household size; age, education, sex, and race of the head of thehousehold; and the geographic location of the household.