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Statistical Optimization for Geometric Computation

This text for graduate students discusses the mathematical foundations of statistical inference for building three-dimensional models from;

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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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Quantum Spin Glasses, Annealing and Computation

combinatorial optimization problems is required for better understanding of quantum annealing concepts. Fulfilling this requirement, the book highlights;

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Geometric Science of Information

geometric mechanics/thermodynamics; computational information geometry; Lie groups: novel statistical and computational frontiers; geometry of time;

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Geometric Computation

in real geometry; and exact geometric computation. Basic techniques, advanced methods, and new findings are presented coherently, with many;

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Modeling, Computation And Optimization

optimization. It contains theory, computation as well as the applications of several mathematical models to problems in statistics, games, optimization;

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Handbook of Reliability Engineering

Handbook for the computation and empirical estimation of reliability. Introduces an incomparable volume of easily applicable, cutting-edge;

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Bayesian Process Monitoring, Control and Optimization

computation. The next part explains statistical process control (SPC) and examines both univariate and multivariate process monitoring techniques;

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Statistical Optimization of Biological Systems

essence of a genetic algorithm Statistical Optimization of Biological Systems examines the complex nature of biological systems, the need for;

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Geometric Science of Information

This book constitutes the refereed proceedings of the Third International Conference on Geometric Science of Information, GSI 2017, held;

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Distributed Optimization Advances in Theories Methods and Applications

of distributed optimization in large-scale statistical learning, wireless sensor networks, and for optimal energy management in smart grids are discussed.;

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Distributed Optimization Advances in Theories Methods and Applications

of distributed optimization in large-scale statistical learning, wireless sensor networks, and for optimal energy management in smart grids are discussed.;

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Computation of Multivariate Normal and t Probabilities

Multivariate normal and t probabilities are needed for statistical inference in many applications. Modern statistical computation packages;

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Nature-Inspired Computation and Swarm Intelligence

Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization;

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Minisum Hyperspheres

field of geometric optimization is full of interesting and open problems. This work provides an overview of the history of minisum;

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Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms

experienced researchers alike. For newcomers, it covers the basics of optimization and statistical analysis, familiarizing them with the subject;

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Computational Topology in Image Context

, cohomology, linking number, fundamental groups; algorithm optimization in discrete geometry, transfer of mathematical tools, parallel computation;

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Optimization Algorithms on Matrix Manifolds

existing algorithms for a selection of eigenspace problems in numerical linear algebra. Optimization Algorithms on Matrix Manifolds offers;

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Highway Planning, Survey, and Design

transportation planning, highway surveying, and geometric design of highways. Provides solutions to numerous practical problems;

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Highway Planning, Survey, and Design

transportation planning, highway surveying, and geometric design of highways. Provides solutions to numerous practical problems in transportation;

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Evolutionary Computation in Combinatorial Optimization

This book constitutes the refereed proceedings of the 20th European Conference on Evolutionary Computation in Combinatorial Optimization;

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Statistical Modeling and Computation

integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and;

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Nature-Inspired Computation in Engineering

reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization;

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Self-Adaptive Heuristics For Evolutionary Computation

not achieved the attention it deserves. This book introduces various types of self-adaptive parameters for evolutionary computation;

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Handbook of Parallel Computing and Statistics

companion for helping solve the abundance of computation-intensive statistical problems arising in a variety of fields.;

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Visualizing Statistical Models And Concepts

Examines classic algorithms, geometric diagrams, and mechanical principles for enhancing visualization of statistical estimation procedures;

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Visualizing Statistical Models And Concepts

Examines classic algorithms, geometric diagrams, and mechanical principles for enhancing visualization of statistical estimation procedures;

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