Logo

Calculus for Mathematicians, Computer Scientists, and Physicists

Small book cover: Calculus for Mathematicians, Computer Scientists, and Physicists

Calculus for Mathematicians, Computer Scientists, and Physicists
by

Publisher: Holy Cross
Number of pages: 487

Description:
The author presents beautiful, interesting, living mathematics, as intuitively and informally as possible, without compromising logical rigor. Naturally, you will solidify your calculational knowledge, for this is in most applications the skill of primary importance. Second, you will acquire understanding of the theoretical underpinnings of the calculus, essentially from first principles.

Download or read it online for free here:
Download link
(3.5MB, PDF)

Similar books

Book cover: Calculus ConcentrateCalculus Concentrate
by - Whitman College
The text represents one person's attempt to put the essential ideas of calculus into a short and concise format. It may not appeal to a wide range of mathematicians, but it should provide most students with a good foundation in calculus.
(12155 views)
Book cover: The Calculus for EngineersThe Calculus for Engineers
by - E. Arnold
This book describes what has for many years been the most important part of the regular college course in the Calculus for Mechanical and Electrical Engineering students. The students knew only the most elementary mathematics.
(18251 views)
Book cover: Calculus IICalculus II
by - Lamar University
These lecture notes should be accessible to anyone wanting to learn Calculus II or needing a refresher in some of the topics from the class. The notes assume a good knowledge of Calculus I topics including limits, derivatives and basic integration.
(26417 views)
Book cover: Elements of the Differential and Integral CalculusElements of the Differential and Integral Calculus
by - Ginn
Variables and functions, theory of limits, differentiation, rules for differentiating standard elementary form, successive differentiation, maxima and minima, differentials, rates, curvature, theorem of mean value, partial differentiation, etc.
(21220 views)