TextPublication details: New York: McGraw-Hill; 1988Edition: 2ndDescription: 471 pISBN: | Item type | Current library | Call number | Status | Date due | Barcode | |
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| Book | KCST Library | 519.4 Sc Nu (Browse shelf(Opens below)) | Available | 1000001321 |
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| 519.230 Ad Advances in stochastic modelling / | 519.4 At In An introduction to numerical analysis / | 519.4 Ro Le Learning SciPy for Numerical and Scientific Computing / | 519.4 Sc Nu Numerical analysis / | 519.5 Ho In Introduction to mathematical statistics / | 519.5 Ja In An introduction to statistical learning : with applications in R / Gareth James; Daniela Witten; Trevor Hastie; Robert Tibshirani | 519.5 Ka Bu Business statistics / |
What Is Numerical Analysis? The Collocation Polynomial.Finite Differences.Factorial Polynomials.Summation.The Newton Formula.Operators and Collocation Polynomials.Unequally-Spaced Arguments.Splines.Osculating Polynomials.The Taylor Polynomial.Interpolation.Numerical Differentiation.Numerical Integration.Gaussian Integration.Singular Integrals.Sums and Series.Difference Equations.Differential Equations.Differential Problems of Higher Order.Least-Squares Polynomial Approximation.Min-Max Polynomial Approximation.Approximation By Rational Functions.Trigonometric Approximation.Nonlinear Algebra.Linear Systems.Linear Programming.Overdetermined Systems.Boundary Value Problems.Monte Carlo Methods.
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