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Computational Methods for Process Simulation

have been there before. Computational Methods for Process Simulation develops the methods needed for the simulation of real;

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Computational Methods and Production Engineering

systems; Particle swarm optimization (PSO); Tabu search and simulation annealing; and optimization techniques for complex systems. As;

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Computational Simulation in Architectural and Environmental Acoustics

simulation for building components, and auralization. This book is a valuable reference that covers the state of the art in computational;

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Introduction to Computational Mass Transfer

students in the fields of computational methodologies for the numerical simulation of fluid dynamics, mass and/or heat transfer involved;

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Computational Methods for Complex Liquid-Fluid Interfaces

technicalities of correctly using the computational methods developed for interfacial flows, as well as the simulation of interesting interfacial flow;

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Computational Methods for Complex Liquid-Fluid Interfaces

technicalities of correctly using the computational methods developed for interfacial flows, as well as the simulation of interesting interfacial flow;

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Computational Nondestructive Evaluation Handbook

efficiency for anisotropic materials. It offers an overview of the need for and uses of NDE simulation. The content provides a basic understanding;

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Computational Science

Computational science is a multidisciplinary field that applies computer simulation and advanced computation to develop solutions for;

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Computational Intelligence Methods for Bioinformatics and Biostatistics

This book constitutes revised selected papers from the 16th International Meeting on Computational Intelligence Methods for Bioinformatics;

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Computational Modeling of Underground Coal Gasification

The book deals with development of comprehensive computational models for simulating underground coal gasification (UCG). It starts with an;

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Introduction to Computational Earthquake Engineering

numerical simulation of strong ground motion and faulting, respectively. Stochastic modeling is used for uncertain underground structures, and;

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Simulation for Data Science with R

, including the computer-intense Monte-Carlo methods as well as computational tools for statistical simulation, then this book is for you. Good;

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Modeling and Simulation in Engineering

Modeling and simulation is a well-established branch in engineering which uses various numerical and computational models to compute and;

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Simulation and Computational Red Teaming for Problem Solving

Computational Red Teaming for Problem Solving offers a review of computer simulation that is grounded in a multi-disciplinary approach. The authors;

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Monte Carlo Simulation for the Pharmaceutical Industry

Helping you become a creative, logical thinker and skillful simulator, Monte Carlo Simulation for the Pharmaceutical Industry: Concepts;

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Monte Carlo Simulation for the Pharmaceutical Industry

Helping you become a creative, logical thinker and skillful simulator, Monte Carlo Simulation for the Pharmaceutical Industry: Concepts;

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Group Processes

This volume introduces a series of different data-driven computational methods for analyzing group processes through didactic and tutorial;

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Recent Progress in Computational Sciences and Engineering (2 vols)

Simulation and Computing, Grid-based Simulation and Computing, Fuzzy Logic, Hybrid Computational Methods, Data Mining, Information Retrieval and;

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Computational Physics

methodologies, including computational methods such as Monte Carlo and molecular dynamics, various electronic structure methodologies, methods for;

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Computational Physics

methodologies, including computational methods such as Monte Carlo and molecular dynamics, various electronic structure methodologies, methods for;

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Computational Techniques for Process Simulation and Analysis Using MATLAB (R)

the last part covers function approximation and optimization. Intended to be an advanced level textbook for numerical methods, simulation and;

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Computational Techniques for Process Simulation and Analysis Using MATLAB (R)

the last part covers function approximation and optimization. Intended to be an advanced level textbook for numerical methods, simulation and;

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Computational Methods in Systems Biology

This book constitutes the refereed proceedings of the 19th International Conference on Computational Methods in Systems Biology, CMSB 2021;

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New Developments in Evolutionary Computation Research

A common approach for solving simulation-driven engineering problems is by using metamodel-assisted optimization algorithms, namely;

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Mesh Enhancement

contain a summary of the numerical simulation process, basic background on mesh terminology and generation approaches, computational geometry;

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Computational Science ICCS 2021

of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations;

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Computational Methods in Systems Biology

; frameworks for model verification, validation, analysis, and simulation of biological systems; high-performance computational systems biology and;

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