Computer Software Applications in Chemistry / Edition 2

Computer Software Applications in Chemistry / Edition 2

by Peter C. Jurs
ISBN-10:
0471105872
ISBN-13:
9780471105879
Pub. Date:
02/02/1996
Publisher:
Wiley

Hardcover

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Overview

Computer Software Applications in Chemistry / Edition 2

Intended specifically for practicing professionals and advanced students in chemistry and biochemistry, this invaluable book covers the full range of the computer applications in these fields, including numerical, nonnumerical, and graphics applications. New material includes multiple linear regression using MREG, principal-components analysis, Monte Carlo integration, parameterization of the force field, and molecular modeling software.

Major areas covered include:

• Error, Statistics, and the Floating-Point Number System

• Curve Fitting

• Multiple Linear Regression Analysis

• Numerical Integration

• Numerical Solution of Differential Equations

• Matrix Methods and Linear Equation Systems

• Random Numbers and Monte Carlo Simulation

• Simplex Optimization

• Chemical Structure Information Handling

• Mathematical Graph Theory

• Substructure Searching

• Molecular Mechanics and Molecular Dynamics

• Pattern Recognition

• Artificial Intelligence and Expert Systems

• Spectroscopic Library Searching and Structure Elucidation

• Graphical Display of Data and of Molecules

Whatever your area of research, this comprehensive, lucidly written book offers an indispensable resource of computer applications that will facilitate your work.

Product Details

ISBN-13: 9780471105879
Publisher: Wiley
Publication date: 02/02/1996
Edition description: REV
Pages: 304
Product dimensions: 6.42(w) x 9.57(h) x 0.79(d)

About the Author

PETER C. JURS is Professor of Chemistry at the Pennsylvania State University and the author of Basic Programming for Chemists: An Introduction, also published by Wiley.

Table of Contents

Error, Statistics, and the Floating-Point Number System.

Curve Fitting.

Multiple Linear Regression Analysis.

Numerical Integration.

Numerical Solution of Differential Equations.

Matrix Methods and Linear Equation Systems.

Random Numbers and Monte Carlo Simulation.

Simplex Optimization.

Chemical Structure Information Handling.

Mathematical Graph Theory.

Substructure Searching.

Molecular Mechanics and Molecular Dynamics.

Pattern Recognition.

Artificial Intelligence and Expert Systems.

Spectroscopic Library Searching and Structure Elucidation.

Graphical Display of Data.

Graphical Display of Molecules.

Index.

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