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Complex Analysis for Practical Engineering

guide for engineering practitioners. The complex analysis problems discussed in this book will prove useful in solving practical problems;

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Geometry of Surfaces

Presents an in-depth analysis of geometry of part surfaces and provides the tools for solving complex engineering problems Geometry;

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Practical Parallel Computing

These ten papers represent a range of applications for the practical use of parallel computing. They address large scale high performance;

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Foundation Vibration Analysis

Illustrated with practical examples Executable program and MATLAB program for foundation vibration analysis;

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Metabolic Engineering

analysis of complex metabolic pathways and ways of employing recombinant DNA techniques to alter cell behavior, metabolic patterns, and product;

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Practical Analysis of Composite Laminates

metallic counterparts, but also create complex challenges to analysts and designers. Practical Analysis of Composite Laminates presents a summary;

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Calculus with Complex Numbers

This practical treatment explains the applications complex calculus without requiring the rigor of a real analysis background. The author;

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Calculus with Complex Numbers

This practical treatment explains the applications complex calculus without requiring the rigor of a real analysis background. The author;

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Static and Dynamic Analysis of Engineering Structures

Structures examines static and dynamic analysis of engineering structures for methodological and practical purposes. In one volume, the authors A;

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Process Analysis and Simulation in Chemical Engineering

This book offers a comprehensive coverage of process simulation and flowsheeting, useful for undergraduate students of Chemical Engineering;

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Process Analysis and Simulation in Chemical Engineering

This book offers a comprehensive coverage of process simulation and flowsheeting, useful for undergraduate students of Chemical Engineering;

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Basic Complex Analysis

Basic Complex Analysis skillfully combines a clear exposition of core theory with a rich variety of applications;

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Microwave Semiconductor Engineering

) based on operating junction temperature. Practical examples of microwave network analysis and field analysis with actual device designs are;

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Petroleum Engineering - Principles, Calculations and Workflows

A comprehensive and practical guide to methods for solving complex petroleum engineering problems Petroleum engineering is guided by;

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Engineering Design Under Uncertainty and Health Prognostics

This book presents state-of-the-art probabilistic methods for the reliability analysis and design of engineering products and processes. It;

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Advanced Engineering Mathematics

, Vector Calculus; Fourier Analysis and Partial Differential Equations; Complex Analysis; Numerical methods; Optimization, graphs; and Probability;

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Recent Advances in Nonlinear Dynamics and Synchronization

, stable, flexible and universally applicable to the analysis of complex nonlinear dynamical systems. As such it addresses key challenges are;

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Modeling and Simulation Based Analysis in Reliability Engineering

, along with System Reliability Engineering has become a greater issue because of high-tech industrial processes, using more complex systems today;

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Modeling and Simulation Based Analysis in Reliability Engineering

Focuses on the latest research in modeling and simulation based analysis in reliability engineering. Covers performance evaluation of complex;

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Handbook of Optomechanical Engineering

of complex optical systems. The practical information within is ideal for optical and optomechanical engineers and scientists involved in the design;

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Competitive Engineering

delivering complex projects on time and within budget. The Competitive Engineering methodology provides a practical set of tools and techniques that;

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Flowgraph Models For Multistate Time-To-Event Data

of flowgraph models to analyze complex stochastic networks Exercise sets to reinforce the practical approach of this volume Flowgraph Models for;

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Complex Analysis

of complex analysis. Designed for the undergraduate student with a calculus background but no prior experience with complex analysis, this text;

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Neural Networks for Applied Sciences and Engineering

neural network concepts. It contains an overview of neural network architectures for practical data analysis followed by extensive step-by-step;

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Predictive Intelligence in Biomedical and Health Informatics

intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to;

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Fundamentals of Engineering Numerical Analysis

the finite element method. This is a widely used technique for solving partial differential equations (PDEs) in complex domains. This text;

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