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McGraw-Hill purchased Schaum Publishing Company in 1967. [2] Titles are continually revised to reflect current educational standards in their fields, including updates with new information, additional examples, use of new technology (calculators and computers), and so forth. New titles are also introduced in emerging fields such as computer ...
The book treats mostly 2- and 3-dimensional geometry. The goal of the book is to provide a comprehensive introduction into methods and approached, rather than the cutting edge of the research in the field: the presented algorithms provide transparent and reasonably efficient solutions based on fundamental "building blocks" of computational ...
Discrete mathematics is the study of mathematical structures that can be considered "discrete" (in a way analogous to discrete variables, having a bijection with the set of natural numbers) rather than "continuous" (analogously to continuous functions).
As a C. L. E. Moore instructor, Rudin taught the real analysis course at MIT in the 1951–1952 academic year. [2] [3] After he commented to W. T. Martin, who served as a consulting editor for McGraw Hill, that there were no textbooks covering the course material in a satisfactory manner, Martin suggested Rudin write one himself.
In mathematics, a metric space is a set where a notion of distance (called a metric) between elements of the set is defined. Much of analysis happens in some metric space; the most commonly used are the real line , the complex plane , Euclidean space , other vector spaces , and the integers .
Theory of Plates and Shells , McGraw-Hill Book Company, 1st Ed. 1940, 2nd Ed. 1959 (with S. Woinowsky-Krieger) Theory of Structures, with D. H. Young, McGraw-Hill Book Company, 1st Ed. 1945, 2nd Ed. 1965; Advanced Dynamics, with D. H. Young, McGraw-Hill Book Company, 1948; History of The Strength of Materials, McGraw-Hill Book Company, 1953
Discrete mathematics is the study of mathematical structures that are fundamentally discrete rather than continuous.In contrast to real numbers that have the property of varying "smoothly", the objects studied in discrete mathematics – such as integers, graphs, and statements in logic [1] – do not vary smoothly in this way, but have distinct, separated values. [2]
In applied mathematics, discontinuous Galerkin methods (DG methods) form a class of numerical methods for solving differential equations.They combine features of the finite element and the finite volume framework and have been successfully applied to hyperbolic, elliptic, parabolic and mixed form problems arising from a wide range of applications.