In this provocative book, Paul Glimcher argues that economic theory may provide an alternative to the classical Cartesian model of the brain and behavior. Glimcher argues that Cartesian dualism operates from the false premise that the reflex is able to describe behavior in the real world that animals inhabit. A mathematically rich cognitive theory, he claims, could solve the most difficult problems that any environment could present, eliminating the need for dualism by eliminating the need for a reflex theory. Such a mathematically rigorous description of the neural processes that connect sensation and action, he explains, will have its roots in microeconomic theory. Economic theory allows physiologists to define both the optimal course of action that an animal might select and a mathematical route by which that optimal solution can be derived. Glimcher outlines what an economics-based cognitive model might look like and how one would begin to test it empirically. Along the way, he presents a fascinating history of neuroscience. He also discusses related questions about determinism, free will, and the stochastic nature of complex behavior.
Автор: Vasile Massimiliano Название: Optimization Under Uncertainty with Applications to Aerospace Engineering ISBN: 303060165X ISBN-13(EAN): 9783030601652 Издательство: Springer Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: - Introduction to Spectral Methods for Uncertainty Quantification. - Introduction to Imprecise Probabilities. - Uncertainty Quantification in Lasso-Type Regularization Problems. - Reliability Theory. - An Introduction to Imprecise Markov Chains. - Fundamentals of Filtering. - Introduction to Optimisation. - An Introduction to Many-Objective Evolutionary Optimization. - Multilevel Optimisation. - Sequential Parameter Optimization for Mixed-Discrete Problems. - Parameter Control in Evolutionary Optimisation. - Response Surface Methodology. - Risk Measures in the Context of Robust and Reliability Based Optimization. - Best Practices for Surrogate Based Uncertainty Quantification in Aerodynamics and Application to Robust Shape Optimization. - In-flight Icing: Modeling, Prediction, and Uncertainty. - Uncertainty Treatment Applications: High-Enthalpy Flow Ground Testing. - Introduction to Evidence-Based Robust Optimisation.
Автор: Aldo Frediani; Bijan Mohammadi; Olivier Pironneau; Название: Variational Analysis and Aerospace Engineering ISBN: 3319833464 ISBN-13(EAN): 9783319833460 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Molding direction constraints in structural optimization via a level-set method (Gr egoire Allaire, Franc, ois Jouve and Georgios Michailidis).- Adaptive Control for Weakly Minimum Phase Linear Infinite-Dimensional Systems in Hilbert Space Using a Zero Filter (Mark J. Balas, Susan A. Frost).- Aeroelasticity of the PrandtlPlane (Rauno Cavallaro, Rocco Bombardieri, Simone Silvani, Luciano Demasi and Giovanni Bernardini).- HyPSim: a simulation tool for hybrid aircraft performance analysis (Vittorio Cipolla, Fabrizio Oliviero).- Evolutionary and Heuristic Methods Applied to Problems in Optimal Control (Bruce A. Conway).- Thin-walled beams: asymptotic models and applications (Cesare Davini, Lorenzo Freddi and Rpberto Paroni).- The Variational Approach to Fracture (Gianpietro Del Piero).- Minimum Induced Drag Theorems for Nonplanar Systems and Closed Wings (Luciano Demasi, Giovanni Monegato, and Rauno Cavallaro).- On aerodynamic design with a POD surrogate model (Valentina Dolci, Renzo Arina).- Trust Region Filter-SQP Method for Multi-Fidelity Wing Aerostructural Optimization (Ali Elham and Michel J.L. van Tooren).- Tensegrity rings for deployable space antennas (Pier Luigi Ganga, Andrea Micheletti, Paolo Podio-Guidugli, Lucio Scolamiero, Gunnar Tibert, and Valfredo Zolesi).- Data analytic UQ cascade (Bijan Mohammadi).- Aerodynamic design of "box blade" and "non-planar" wind turbines (Luigi Molea, Emanuele Di Vitantonio, Aldo Frediani).- Numerical Study of a Monolithic Fluid-Structure Formulation (Olivier Pironneau).- A New, General Neighboring Optimal Guidance for Aerospace Vehicles (Mauro Pontani).- State-of-the-art of optimum shape design methods for industrial applications and beyond (Bruno Stoufflet).- Variational Analysis and Euler Equation of the Optimum Propeller Problem (Francesco Torrigiani, Aldo Frediani, Antonio Dipace).
Автор: Charles Lu Название: Multidisciplinary design analysis and optimization of aerospace composites. ISBN: 076800120X ISBN-13(EAN): 9780768001204 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 105330.00 T Наличие на складе: Нет в наличии. Описание: Presents a collection of ten SAE International technical papers, covering the use of composite materials from various perspectives: overall multidisciplinary design methodology, weight and structural analysis, aerodynamic and thermal analysis, acoustics, lightening, reliability and sustainability considerations.
Автор: Jizhong Zhu Название: Optimization of Power System Operation 2e ISBN: 1118854152 ISBN-13(EAN): 9781118854150 Издательство: Wiley Рейтинг: Цена: 128780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Optimization of Power System Operation, 2 nd Edition, offers a practical, hands-on guide to theoretical developments and to the application of advanced optimization methods to realistic electric power engineering problems.
Автор: F.Carl Knopf Название: Modeling, Analysis and Optimization of Process and Energy Systems ISBN: 0470624213 ISBN-13(EAN): 9780470624210 Издательство: Wiley Рейтинг: Цена: 118220.00 T Наличие на складе: Поставка под заказ. Описание: Energy costs impact the profitability of virtually all industrial processes.
Автор: Dhami, Sanjit. Название: The Foundations of Behavioral Economic Analysis: Volume I: Behavioral Economics of Risk, Uncertainty, and Ambiguity ISBN: 0198835604 ISBN-13(EAN): 9780198835608 Издательство: Oxford Academ Рейтинг: Цена: 29030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is the first volume of focused texts developed from leading textbook The Foundations of Behavioral Economics. Authoritative, cutting edge, and accessible, this volume covers the behavioral economics of risk, uncertainty, and ambiguity.
Автор: Morrison, Faith A. Название: Uncertainty analysis for engineers and scientists ISBN: 1108745741 ISBN-13(EAN): 9781108745741 Издательство: Cambridge Academ Рейтинг: Цена: 46470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Build the skills for determining appropriate error limits for quantities that matter with this essential toolkit. Whether you are new to the sciences or an experienced engineer, this useful text provides a practical approach to performing error analysis.
Автор: Anatoly Lisnianski; Ilia Frenkel; Yi Ding Название: Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers ISBN: 1447157044 ISBN-13(EAN): 9781447157045 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This practically oriented book presents a comprehensive, up-to-date description of multi-state system (MSS) reliability as a natural extension of classical binary-state reliability. It presents all essential theoretical achievements in the field.
Автор: Xu, Jun Название: Block trace analysis and storage system optimization ISBN: 148423927X ISBN-13(EAN): 9781484239278 Издательство: Springer Рейтинг: Цена: 32600.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Understand the fundamental factors of data storage system performance and master an essential analytical skill using block trace via applications such as MATLAB and Python tools. You will increase your productivity and learn the best techniques for doing specific tasks (such as analyzing the IO pattern in a quantitative way, identifying the storage system bottleneck, and designing the cache policy).
In the new era of IoT, big data, and cloud systems, better performance and higher density of storage systems has become crucial. To increase data storage density, new techniques have evolved and hybrid and parallel access techniques—together with specially designed IO scheduling and data migration algorithms—are being deployed to develop high-performance data storage solutions. Among the various storage system performance analysis techniques, IO event trace analysis (block-level trace analysis particularly) is one of the most common approaches for system optimization and design. However, the task of completing a systematic survey is challenging and very few works on this topic exist.Block Trace Analysis and Storage System Optimization brings together theoretical analysis (such as IO qualitative properties and quantitative metrics) and practical tools (such as trace parsing, analysis, and results reporting perspectives). The book provides content on block-level trace analysis techniques, and includes case studies to illustrate how these techniques and tools can be applied in real applications (such as SSHD, RAID, Hadoop, and Ceph systems).What You’ll LearnUnderstand the fundamental factors of data storage system performanceMaster an essential analytical skill using block trace via various applicationsDistinguish how the IO pattern differs in the block level from the file levelKnow how the sequential HDFS request becomes “fragmented” in final storage devicesPerform trace analysis tasks with a tool based on the MATLAB and Python platformsWho This Book Is ForIT professionals interested in storage system performance optimization: network administrators, data storage managers, data storage engineers, storage network engineers, systems engineers
Автор: Shao Yingxia, Cui Bin, Chen Lei Название: Large-Scale Graph Analysis: System, Algorithm and Optimization ISBN: 9811539278 ISBN-13(EAN): 9789811539275 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently.
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