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An introduction to complex analysis for students with some knowledge of complex numbers from high school. It contains sixteen chapters, the first eleven of which are aimed at an upper division undergraduate audience. The remaining five chapters are designed to complete the coverage of all background necessary for passing PhD qualifying exams in complex analysis. Topics studied include Julia sets and the Mandelbrot set, Dirichlet series and the prime number theorem, and the uniformization theorem for Riemann surfaces, with emphasis placed on the three geometries: spherical, euclidean, and hyperbolic. Throughout, exercises range from the very simple to the challenging. The book is based on lectures given by the author at several universities, including UCLA, Brown University, La Plata, Buenos Aires, and the Universidad Autonomo de Valencia, Spain.
* A New York Times Book Review Notable Book of the Year * A San Francisco Chronicle, Kansas City Star, St. Louis Post-Dispatch, New Hampshire Public Radio, Flavorwire, Vol. 1 Brooklyn, Largehearted Boy, and Slaughterhouse 90210 Best Book of the Year * * A New York Times Book Review Editors' Choice * One of The Millions's Most Anticipated Books of 2013 * Mary and Eddie are meant for each other—but love is no guarantee, not in these suburbs. Like all children, they exist in an eternal present; time is imminent, and the adults of the street live in their assorted houses like numbers on a clock. Meanwhile, ominous rumors circulate, and the increasing agitation of the neighbors points to a future in which all will be lost. Soon a sorcerer's car will speed down Mary's street, and as past and future fold into each other, the resonant parenthesis of her girlhood will close forever. Beyond is adulthood, a world of robots and sorcerers, slaves and masters, bodies without souls. In Duplex, Kathryn Davis, whom the Chicago Tribune has called "one of the most inventive novelists at work today," has created a coming-of-age story like no other. Once you enter the duplex—that magical hinge between past and future, human and robot, space and time—there's no telling where you might come out.
Easily accessible Includes recent developments Assumes very little knowledge of differentiable manifolds and functional analysis Particular emphasis on topics related to mirror symmetry (SUSY, Kaehler-Einstein metrics, Tian-Todorov lemma)
The pathways and networks underlying biological function Now in its second edition, Biochemical Pathways continues to garner praise from students, instructors, and researchers for its clear, full-color illustrations of the pathways and networks that determine biological function. Biochemical Pathways examines the biochemistry of bacteria, plants, and animals. It offers a quick overview of the metabolic sequences in biochemical pathways, the chemistry and enzymology of conversions, the regulation of turnover, the expression of genes, the immunological interactions, and the metabolic background of health disorders. A standard set of conventions is used in all illustrations, enabling readers to easily gather information and compare the key elements of different biochemical pathways. For both quick and in-depth understanding, the book uses a combination of: Illustrations integrating many different features of the reactions and their interrelationships Tables listing the important system components and their function Text supplementing and expanding on the illustrated facts In the second edition, the volume has been expanded by 50 percent. Text and figures have undergone a thorough revision and update, reflecting the tremendous progress in biochemical knowledge in recent years. A guide to the relevant biochemical databases facilitates access to the extensive documentation of scientific knowledge. Biochemical Pathways, Second Edition is recommended for all students and researchers in such fields as biochemistry, molecular biology, medicine, organic chemistry, and pharmacology. The book's illustrated pathways aids the reader in understanding the complex set of biochemical reactions that occur in biological systems. From the reviews: “… highly recommended for every scientist and student working in biochemistry.” –Umwelt & Gesundheit 4/2012 (review in German language)
Proposes novel methods to incorporate ignorance and uncertainty into economic modeling without complex mathematics.