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Designed for non-expert student, enthusiast, or researcher, this two-volume text provides an accessible introduction to numerical computation and its applications in science and engineering. It assumes no prior knowledge beyond undergraduate calculus and elementary computer programming. Fundamental and practical issues are discussed in a unified manner with a generous, but not excessive, dose of numerical analysis. Topics are introduced on a need to know basis toconcisely illustrate the practical implementation of a variety of algorithms and demystify seemingly esoteric numerical methods. Algorithms that can be explained without too much elaboration and can be implemented within a few dozen lines of computer code are discussed in detail, and computer programsin Fortran, C++, and Matlab are provided. Algorithms whose underlying theories require long, elaborate explanations are discussed at the level of first principles, and references for further information are given. The book uses numerous schematic illustrations to demonstrate concepts and facilitate their understanding by providing readers with a helpful interplay between ideas and visual images. Real-world examples drawn from various branches of science and engineering are presented. Updatedinformation on computer technology and numerical methods is included, many new and some original topics are introduced. Additional solved and unsolved problems are included.

An updated edition of a comprehensive and authoritative chemical engineering textbook on bioseparations science, updated to include new information on topics like moment analysis, chromatography, and evaporation.

This text is a synthesis of the principles that govern rates of drug transport, reaction, and disappearance in physiological and pathological situations, providing a working foundation for those in the field of drug delivery. The book covers advanced drug delivery and contemporary biomaterials.

Fuelled by advances in computer technology, model-based approaches to the control of industrial processes are now widespread. This text provides practical insight into model selection for chemical processes and emphasizes structures suitable for control system design.

This is a self-contained presentation of the optical methods used to measure the structure and dynamics of complex fluids subject to the influence of external fields. Such fields (hydrodynamic, electric and magnetic) are commonly encountered in academic and industrial research.

This volume describes the applications of catalysis in organic synthesis and outlines different techniques of reaction rate and/or selectivity enhancement against a background of reaction engineering principles for both homogeneous and heterogeneous systems.

Presents the fundamentals of nonlinear and mixed-integer optimization, and their applications in the important area of process synthesis in chemical engineering. This text can be used as a graduate textbook in one or two semester courses in nonlinear and mixed-integer optimization, and applications in process synthesis.

This textbook is designed for courses in advanced mathematical methods for chemical engineering students. It builds on the student's previous study of calculus, differential equations, and linear algebra, using appropriate examples from chemical engineering to illustrate the techniques.

This study is a main text for advanced undergraduate or graduate level courses taught in departments of chemical and mechanical engineering. Rheology is the study of the deformation and flow of materials.

Product Engineering provides theories and case studies in product engineering - the design of new, useful products with desired properties.

This advanced chemical engineering textbook reviews the fundamental thermodynamics of phase transitions and critical and supercritical fluid phenomena.

A very current and comprehensive textbook for the standard undergraduate chemical engineering course in process dynamics and control. Unique topics include a unified approach to model representations, process control formulation and process identification, multivariate control, statistical quality control, and model based control.