articleTop 10% cited
Numerical Analysis--Mathematics of Scientific Computing.
Mathematics of Computation · 1992 · Vol. 59(199) · pp. 297–297
E. I.✉(The University of Texas at Austin)David R. Kincaid(The University of Texas at Austin)Ward Cheney
Abstract
Taking the time to develop the appropriate theory so readers appreciate the mathematics behind the algorithms, the text has more content but a less formal writing style. The authors' presentation of approximating functions and numerical solution of differential equations are thorough with coverage of splines and boundary value problems. Algorithms are developed in pseudocode (not FORTRAN or Pascal).
Numerical methods for differential equationsComputational Physics and Python ApplicationsMathematicsNumerical analysisMathematics educationApplied mathematicsCalculus (dental)Mathematical analysis
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5.38
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