Problem Solving in Chemical and Biochemical Engineering with POLYMATH, Excel, and MATLAB (2nd Edition)

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Issue Solving in Chemical substance and Biochemical Engineering with POLYMATH™, Excel, and MATLAB®, Second Edition , can be a valuable source and companion that integrates the usage of numerical issue solving in the three hottest software programs: POLYMATH, Microsoft Excel, and MATLAB.

This significantly extended and revised second edition contains new chapters on getting started off with and using Excel and MATLAB. College students and professional engineers will value the simplicity with which problems could be entered into POLYMATH and solved independently in every three software programs, while taking full benefit of the initial capabilities within each bundle. The book includes a lot more than 170 complications requiring numerical solutions. Lately developed POLYMATH capabilities permit the automated creation of Excel spreadsheets and the era of MATLAB code for issue solutions. In addition, it places special focus on biochemical engineering with a significant chapter about them and with the integration of biochemical complications throughout the reserve.com)

• Provides solved and partially solved issue files for all 3 software programs, plus additional components

• Describes discounted purchase choices for educational edition of POLYMATH open to reserve purchasers

• Includes detailed, selected issue solutions in Maple™, Mathcad®, and Mathematica™

• Introduction to Issue Solving with Mathematical SOFTWARE PROGRAMS

• BASICS and Calculations

• Regression and Correlation of Data

• Introduction to Issue Solving with Excel

• Introduction to Issue Solving with MATLAB

• Advanced Problem-Solving Methods

• Thermodynamics

• Liquid Mechanics

• Temperature Transfer

• Mass Transfer

• Chemical Response Engineering

• Stage Equilibrium and Distillation

• Procedure Dynamics and Control

• Biochemical Engineering

• Simultaneous Linear Equations

• Simultaneous non-linear Equations

• Linear, Multiple Linear, and non-linear Regressions with Statistical Analyses

• Partial Differential Equations (Using the Numerical Approach to Lines)

• Curve Fitting by Polynomials with Statistical Evaluation

• Simultaneous Normal Differential Equations (Including Complications Concerning Stiff Systems, Differential-Algebraic Equations, and Parameter Estimation in Systems of Common Differential Equations)

See also

• Elements of Chemical Reaction Engineering (5th Edition) (Prentice Hall International Series in the Physical and Chemical Engineering Sciences)
• Equilibrium-Staged Separations
• Instrumental Methods of Analysis (Oxford Higher Education)