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Excel for scientists and engineers : numerical methods / E. Joseph Billo

By: Publication details: Hoboken, N.J. : Wiley-Interscience, 2007Description: xix, 454 p. : ill. ; 26 cm. + 1 CD-ROM (4 3/4 in.)ISBN:
  • 9780471387343 (pbk.)
  • 0471387347 (pbk.)
Subject(s):
Contents:
Introducing visual basic for applications -- Fundamentals of programming with VBA -- Worksheet functions for working with matrices -- Number series -- Interpolation -- Differentiation -- Integration -- Roots of equations -- Systems of simultaneous equations -- Numerical integration of ordinary differential equations part I : initial conditions -- Numerical integration of ordinary differential equations part II : boundary conditions -- Partial differential equations -- Linear regression and curve fitting -- Nonlinear regression using the solver -- Random numbers and the Monte Carlo method
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Item type Current library Home library Collection Call number Materials specified Copy number Status Date due Barcode
AM PERPUSTAKAAN LINGKUNGAN KEDUA PERPUSTAKAAN LINGKUNGAN KEDUA KOLEKSI AM-P. LINGKUNGAN KEDUA - TA345.B578 3 (Browse shelf(Opens below)) 1 Available 00001560460
MEDIA PERPUSTAKAAN LINGKUNGAN KEDUA PERPUSTAKAAN LINGKUNGAN KEDUA MEDIA-P. LINGKUNGAN KEDUA - TA345.B578 3 (Browse shelf(Opens below)) cd-rom 1 Available 00002212562

Book is accompanied by one CD, CD-ROM entitled' Excel for scientists and engineers : numerical methods' bearing the same call number and available at Bahagian Koleksi Media

Includes bibliographical references (p. 429) and index

Introducing visual basic for applications -- Fundamentals of programming with VBA -- Worksheet functions for working with matrices -- Number series -- Interpolation -- Differentiation -- Integration -- Roots of equations -- Systems of simultaneous equations -- Numerical integration of ordinary differential equations part I : initial conditions -- Numerical integration of ordinary differential equations part II : boundary conditions -- Partial differential equations -- Linear regression and curve fitting -- Nonlinear regression using the solver -- Random numbers and the Monte Carlo method

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