Abstract
Much of calculus deals with the interplay between differentiation and integration. The antiquated term “antidifferentiation” emphasizes the fact that differentiation and integration are inverses of one another. We will take it for granted that readers are acquainted with the mechanics of integration. The current chapter develops just enough integration theory to make our development of differentiation in Chap. 4 and the calculus of variations in Chap. 17 respectable. It is only fair to warn readers that in other chapters a few applications to probability and statistics will assume familiarity with properties of the expectation operator not covered here.
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References
Bartle RG (1996) Return to the Riemann integral. Am Math Mon 103:625–632
DePree JD, Swartz CW (1988) Introduction to real analysis. Wiley, Hoboken
de Souza PN, Silva J-N (2001) Berkeley problems in mathematics, 2nd edn. Springer, New York
Edwards CH Jr (1973) Advanced calculus of several variables. Academic, New York
Gordon RA (1998) The use of tagged partitions in elementary real analysis. Am Math Mon 105:107–117
McLeod RM (1980) The generalized Riemann integral. Mathematical Association of America, Washington, DC
Swartz C, Thomson BS (1988) More on the fundamental theorem of calculus. Am Math Mon 95:644–648
Thompson HB (1989) Taylor’s theorem using the generalized Riemann integral. Am Math Mon 96:346–350
Yee PL, Vyb́orný R (2000) The integral: an easy approach after Kurzweil and Henstock. Cambridge University Press, Cambridge
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Lange, K. (2013). The Gauge Integral. In: Optimization. Springer Texts in Statistics, vol 95. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5838-8_3
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DOI: https://doi.org/10.1007/978-1-4614-5838-8_3
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