UID:
almahu_9948025817802882
Format:
1 online resource (340 p.)
ISBN:
1-281-79048-6
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9786611790486
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0-08-086831-2
Series Statement:
Data handling in science and technology ; v. 4
Uniform Title:
Műszaki-tudományos feladatok megoldása személyi számítógéppel.
Content:
This book gives a practical introduction to numerical methods and presents BASIC subroutines for real-life computations in the areas of chemistry, biology, and pharmacology. The choice of BASIC as the programming language is motivated by its simplicity, its availability on all personal computers and by its power in data acquisition. While most of the scientific packages currently available in BASIC date back to the period of limited memory and speed, the subroutines presented here can handle a broad range of realistic problems with the power and sophistication needed by professionals and with
Note:
Translation of: Muszaki-tudomanyos feladatok megoldasa szemelyi szamitogeppel.
,
Includes index.
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Front Cover; Advanced Scientific Computing in BASIC with Applications in Chemistry, Biology and Pharmacology; Copyright Page; CONTENTS; INTRODUCTION; CHAPTER 1. COMPUTATONAL LINEAR ALGEBRA; 1.1 Basic concepts and methods; 1.2 Linear programming; 1.3 LU decomposition; 1.4 Inversion of symmetric, positive definite matrices; 1.5 Tridiagonal systems of equations; 1.6 Eigenvalues and eigenvectors of a symmetric matrix; 1.7 Accuracy in algebraic computations. Ill-conditioned problems; 1.8 Applications and further problems; References; CHAPTER 2. NONLINEAR EQUATIONS AND EXTREMUM PROBLEMS
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2.1 Nanlinear equations in one variable2.2 Minimum of functions in one dimension; 2.3 Systems of nonlinear equations; 2.4 Minimization in multidimensions; 2.5 Applications and further problems; References; CHAPTER 3. PARAMETER ESTIMATION; 3.1 Fitting a straight line by weighted linear regression; 3.2 Multivariable linear regression; 3.3 Nonlinear least squares; 3.4 Linearization, weighting and reparameterization; 3.5 Ill-conditioned estimation problems; 3.6 Multiresponse estimation; 3.7 Equilibrating balance equations; 3.8 Fitting error-in-variables models; 3.9 Fitting orthogonal polynomials
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3.10 Applications and further problemsReferences; CHAPTER 4. SIGNAL PROCESSING; 4.1 Classical methods; 4.2 Spline functions in signal processing; 4.3 Fourier transform spectral methods; 4.4 Applications and further problem; CHAPTER 5. DYNAMICAL MODELS; 5.1 Numerical solution of ordinary differential equations; 5.2 Stiff differential equations; 5.3 Sensitivity analysis; 5.4 Quasi steady state approximation; 5.5 Estimation of parameters in differential equations; 5.6 Identification of linear system; 5.7 Determining the input of a linear system by numerical deconvolution
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5.8 Applications and further problemReferences; SUBJECT INDEX
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English
Additional Edition:
ISBN 0-444-87270-1
Language:
English
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