Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Academic Genealogy of Mathematicians
Burn for Burn
Studies in Pure Mathematics
This volume, written by his friends, collaborators and students, is offered to the memory of Paul Tunin. Most of the papers they contributed discuss subjects related to his own fields of research. The wide range of topics reflects the versatility of his mathematical activity. His work has inspired many mathematicians in analytic number theory, theory of functions of a complex variable, interpolation and approximation theory, numerical algebra, differential equations, statistical group theory and theory of graphs. Beyond the influence of his deep and important results he had the exceptional ability to communicate to others his enthusiasm for mathematics. One of the strengths of Turan was to a...
Architecture
None
Notebooks of the Mind
To approach her subject, John-Steiner goes directly to the source, assembling the thoughts of "experienced thinkers" - artists, philosophers, writers, and scientists able to reflect on their own imaginative patterns. More than fifty interviews (with figures ranging from Jessica Mitford to Aaron Copland), along with excerpts from the diaries, letters, and autobiographies of such gifted giants as Leo Tolstoy, Marie Curie, and Diego Rivera, among others, provide illuminating insights into creative activity.
New Foundations for Information Theory
This monograph offers a new foundation for information theory that is based on the notion of information-as-distinctions, being directly measured by logical entropy, and on the re-quantification as Shannon entropy, which is the fundamental concept for the theory of coding and communications. Information is based on distinctions, differences, distinguishability, and diversity. Information sets are defined that express the distinctions made by a partition, e.g., the inverse-image of a random variable so they represent the pre-probability notion of information. Then logical entropy is a probability measure on the information sets, the probability that on two independent trials, a distinction or...
