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Statistical Optimization of Biological Systems

statistical optimization. Statistical Optimization of Biological Systems covers the optimization of bioprocess systems in its entirety, devoting much;

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Statistical Process Monitoring and Optimization

building, and process optimization. The book covers a range of statistical methods and emphasizes practical applications of quality control systems;

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Chemical and Bioprocess Engineering

, such as CFD simulation, statistical optimization, process control, waste water treatment, micro reactors, fluid bed drying, hydrodynamic;

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Chemical and Bioprocess Engineering

, such as CFD simulation, statistical optimization, process control, waste water treatment, micro reactors, fluid bed drying, hydrodynamic;

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Computationally Intensive Statistics for Intelligent IoT

systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization;

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Statistics for Engine Optimization

Statistical modelling of engine systems Applying design of experiments to the optimization of heavy-duty diesel engine operating parameters;

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Statistical Inference via Convex Optimization

optimization theory can be used to devise and analyze near-optimal statistical inferences. Statistical Inference via Convex Optimization is an;

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Optimization In Chemical Engineering

, Levenberg-Marquardt algorithms, stochastic optimization, simulated annealing and statistical optimization. It studies the multi-objective;

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Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms

variants. The focus is on statistical analyses performed using single-objective and multi-objective optimization data. At the end of the book;

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Statistical Mechanics of Cellular Systems and Processes

hierarchy of these structures and processes, a quantitative understanding is absolutely critical. Traditionally, statistical mechanics-based;

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Reliability Modeling, Analysis And Optimization

research on system modeling and optimization in reliability and its applications.The book comprises twenty-three chapters organized into four parts;

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Handheld Total Chemical and Biological Analysis Systems

The book Handheld Total Chemical and Biological Analysis Systems: Bridging NMR, Digital Microfluidics, and Semiconductors centers on the;

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Mathematical Foundations of Nature-Inspired Algorithms

theory, statistical learning, and statistical measures. Students and researchers in optimization, operations research, artificial intelligence;

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Statistical, Mapping and Digital Approaches in Healthcare

Statistical, Mapping and Digital Approaches in Healthcare addresses all health territories, starting from the analysis of geographical data;

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Submodularity in Dynamics and Control of Networked Systems

This book presents a framework for the control of networked systems utilizing submodular optimization techniques. The main focus is on;

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Statistical Physics for Biological Matter

in research on biological systems or soft matter based on physics, particularly on statistical physics. Typical statistical physics courses cover;

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Analysis and Control of Polynomial Dynamic Models with Biological Applications

, matrices and optimization) to solve problems in the biological sciences (in particular, dynamic analysis and controller design of QP and polynomial;

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Handbook of Statistical Systems Biology

in mathematical models of biological systems. The area is moving towards a full statistical analysis and probabilistic reasoning over the inferences that;

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New Trends in Statistical Physics

of statistical physics, and has applied it to biological physics, solid state physics, relativity and cosmology. These are pioneering works of Prof;

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Dynamics of Information Systems

in our society. The influence of information on social, biological, genetic, and military systems must be better understood to achieve large;

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The Environment in Economics and Development

, environmental science and ecology. Chapter 2 discusses diverse theoretical and statistical models - constrained optimization models, game theory;

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Advanced Data Analytics for Power Systems

applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical;

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Introduction to Process Control

statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and;

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Modern Course Statistical Physics 4th Ed

A Modern Course in Statistical Physics is a textbook that illustrates the foundations of equilibrium and non-equilibrium statistical;

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Optimization of Manufacturing Processes

optimization in manufacturing. Readers will develop an understanding of the implementation of statistical and evolutionary techniques for modeling and;

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Statistical Thermodynamics of Surfaces, Interfaces, and Membranes

at physicists, physical chemists, biological physicists, chemical engineers, and materials scientists who are interested in the statistical;

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Statistical Thermodynamics of Surfaces, Interfaces, and Membranes

at physicists, physical chemists, biological physicists, chemical engineers, and materials scientists who are interested in the statistical;

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