Multiobjective Optimization

Coding Concepts for Kids: Learn to Code Without a Computer

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1.

Coding Concepts for Kids: Learn to Code Without a Computer

出版日：2020/11/10 作者：Randy Lynn 出版社：Rockridge Pr 裝訂：平裝

Coding for kids without a computer--an offline skill-building book for ages 5 to 7 Coding helps kids develop analytical thinking, problem-solving abilities, and beyond In this exciting guide to coding for kids, your child will discover the core concepts of coding through colorful games and activities--without using a computer. These fun challenges can be done right inside the book or with everyday objects to help kids practice the same skills coders use, like writing clear instructions, recognizing patterns, and working efficiently. There's even a place for your beginner to invent their own codes This coding for kids book features: Coding fundamentals--Practice algorithms, loops, conditionals, optimization, debugging, and variables with games that help kids think like a computer programmer. Meet the coder crew--Explore coding for kids with a whole cast of characters, including Al the helper, Pixel the creative expert, Lo the problem-solver, Bug the pattern-spotter, and their robot dog

優惠價： 79 330

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Optimization for Chemical and Biochemical Engineering：Theory, Algorithms, Modeling and Applications

出版日：2020/09/30 作者：Vassilios S. Vassiliadis 出版社：Cambridge Univ Pr 裝訂：精裝

Discover the subject of optimization in a new light with this modern and unique treatment. Includes a thorough exposition of applications and algorithms in sufficient detail for practical use, while providing you with all the necessary background in a self-contained manner. Features a deeper consideration of optimal control, global optimization, optimization under uncertainty, multiobjective optimization, mixed-integer programming and model predictive control. Presents a complete coverage of formulations and instances in modelling where optimization can be applied for quantitative decision-making. As a thorough grounding to the subject, covering everything from basic to advanced concepts and addressing real-life problems faced by modern industry, this is a perfect tool for advanced undergraduate and graduate courses in chemical and biochemical engineering.

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3.

Optimization for Data Analysis

出版日：2021/10/31 作者：Stephen J. Wright 出版社：Cambridge Univ Pr 裝訂：精裝

Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; found

優惠價： 9 2222

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4.

Engineering Design Optimization

出版日：2021/10/31 作者：Joaquim R. R. A. Martins 出版社：Cambridge Univ Pr 裝訂：精裝

Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-sem

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5.

Algorithms for Convex Optimization

出版日：2021/07/31 作者：Nisheeth K. Vishnoi 出版社：Cambridge Univ Pr 裝訂：精裝

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.

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6.

Algorithms for Convex Optimization

出版日：2021/07/31 作者：Nisheeth K. Vishnoi 出版社：Cambridge Univ Pr 裝訂：平裝

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.

優惠價： 9 1781

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7.

Design Optimization using MATLAB and SOLIDWORKS

出版日：2021/05/31 作者：Krishnan Suresh 出版社：Cambridge Univ Pr 裝訂：精裝

A unique text integrating numerics, mathematics and applications to provide a hands-on approach to using optimization techniques, this mathematically accessible textbook emphasises conceptual understanding and importance of theorems rather than elaborate proofs. It allows students to develop fundamental optimization methods before delving into MATLAB®'s optimization toolbox, and to link MATLAB's results with the results from their own code. Following a practical approach, the text demonstrates several applications, from error-free analytic examples to truss (size) optimization, and 2D and 3D shape optimization, where numerical errors are inevitable. The principle of minimum potential energy is discussed to highlight the deep relationship between engineering and optimization. MATLAB code in every chapter illustrates key concepts and the text demonstrates the coupling between MATLAB and SOLIDWORKS® for design optimization. A wide variety of optimization problems are covered including con

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8.

Advanced Optimization for Process Systems Engineering

出版日：2021/04/30 作者：Ignacio E. Grossmann 出版社：Cambridge Univ Pr 裝訂：精裝

Based on the author's forty years of teaching experience, this unique textbook covers both basic and advanced concepts of optimization theory and methods for process systems engineers. Topics covered include continuous, discrete and logic optimization (linear, nonlinear, mixed-integer and generalized disjunctive programming), optimization under uncertainty (stochastic programming and flexibility analysis), and decomposition techniques (Lagrangean and Benders decomposition). Assuming only a basic background in calculus and linear algebra, it enables easy understanding of mathematical reasoning, and numerous examples throughout illustrate key concepts and algorithms. End-of-chapter exercises involving theoretical derivations and small numerical problems, as well as in modeling systems like GAMS, enhance understanding and help put knowledge into practice. Accompanied by two appendices containing web links to modeling systems and models related to applications in PSE, this is an essential

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9.

Matrix, Numerical, and Optimization Methods in Science and Engineering

出版日：2020/12/31 作者：Kevin W. Cassel 出版社：Cambridge Univ Pr 裝訂：精裝

Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate solutions. Explores the dynamical systems theory used to describe and characterize system behaviour, alongside the techniques used to optimize their performance. Integrates and unifies matrix and eigenfunction methods with their applications in numerical and optimization methods. Consolidating, generalizing, and unifying these topics into a single coherent subject, this practical resource is suitable for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics.

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System Error: Where Big Tech Went Wrong and How We Can Reboot

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10.

System Error: Where Big Tech Went Wrong and How We Can Reboot

出版日：2021/09/07 作者：Rob Reich 出版社：Harpercollins 裝訂：精裝

A forward-thinking manifesto from three Stanford professorsexperts who have worked at ground zero of the tech revolution for decadeswhich reveals how big techs obsession with optimization and efficien

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Competitive Agents in Certain and Uncertain Markets

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11.

Competitive Agents in Certain and Uncertain Markets

出版日：2021/08/05 作者：RobertG. Chambers 出版社：Oxford Univ Pr 裝訂：精裝

Competitive Agents in Certain and Uncertain Markets uses concepts from optimization theory to develop an integrated analytic framework for treating consumer, producer, and market equilibrium analysis

優惠價： 9 3024

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12.

Applied Managing for Entrepreneurship

出版日：2020/08/31 作者：Walter Amedzro St-Hilaire 出版社：Apple Academic Pr Inc 裝訂：精裝

Applied Managing for Entrepreneurship focuses also on the optimization of diversified and internationalized companies. It discusses the reasons for companies to diversify their activities and the vari

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13.

Advanced Problem Solving Using Maple：Applied Mathematics, Operations Research, Business Analytics, and Decision Analysis

出版日：2020/08/24 作者：William P Fox and William Bauldry 出版社：Chapman & Hall 裝訂：精裝

The advanced text covers dynamical systems, single variable and multi-variable optimization, linear algebra, advanced model fitting techniques, game theory, and multi-attribute decision processes.

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14.

Optical Thin Film Design

出版日：2020/08/04 作者：Andrew Sarangan 出版社：CRC Pr I Llc 裝訂：精裝

This title begins with the basic principles of electromagnetics and builds up to intricate optical filter designs, numerical optimization techniques, and production methods. It includes worked and pra

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15.

Optical Thin Film Design

出版日：2020/08/04 作者：Andrew Sarangan 出版社：CRC Pr I Llc 裝訂：平裝

This title begins with the basic principles of electromagnetics and builds up to intricate optical filter designs, numerical optimization techniques, and production methods. It includes worked and pra

優惠價： 9 2699

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Boundless ― Upgrade Your Brain, Optimize Your Body & Defy Aging

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Boundless ― Upgrade Your Brain, Optimize Your Body & Defy Aging

出版日：2020/01/21 作者：Ben Greenfield 出版社：Simon & Schuster 裝訂：精裝

What if the ability to look, feel, and perform at peak capacity wasn’t the stuff of lore but instead was within easy reach? In a perfect world, you would be able to have it all: complete optimization

優惠價： 79 1950

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Deep Learning with Python: Learn Best Practices of Deep Learning Models with Pytorch

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17.

Deep Learning with Python: Learn Best Practices of Deep Learning Models with Pytorch

出版日：2021/04/14 作者：Nikhil Ketkar 出版社：Apress 裝訂：平裝

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook's Artificial Intelligence Research Group.You'll start with a perspective on how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems. Next, the book will ground you with the mathematical fundamentals of linear algebra, vector calculus, probability and optimization. Having established this foundation, you'll move on to key components and functionality of PyTorch including layers, loss functions and optimization algorithms. You'll also gain an understanding of Graphical Processing Unit (GPU) based computation, which is essential for training deep learning models

優惠價： 1 1444

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18.

Advanced Data Analytics for Power Systems

出版日：2020/10/31 作者：Ali Tajer 出版社：Cambridge Univ Pr 裝訂：精裝

Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science.

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19.

Electrified Aircraft Propulsion：Powering the Future of Air Transportation

出版日：2021/08/31 作者：Kiruba Haran 出版社：Cambridge Univ Pr 裝訂：精裝

What are the benefits of electrified propulsion for large aircraft? What technology advancements are required to realize these benefits? How can the aerospace industry transition from today's technologies to state-of-the-art electrified systems? Learn the answers with this multidisciplinary text, combining expertise from leading researchers in electrified aircraft propulsion. The book includes broad coverage of electrification technologies – spanning power systems and power electronics, materials science, superconductivity and cryogenics, thermal management, battery chemistry, system design, and system optimization – and a clear-cut road map identifying remaining gaps between the current state-of-the-art and future performance technologies. Providing expert guidance on areas for future research and investment and an ideal introduction to cutting-edge advances and outstanding challenges in large electric aircraft design, this is a perfect resource for graduate students, researchers, el

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Compressive Imaging: Structure, Sampling, Learning

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20.

Compressive Imaging: Structure, Sampling, Learning

出版日：2021/08/31 作者：Ben Adcock 出版社：Cambridge Univ Pr 裝訂：精裝

Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, image reconstruction has been revolutionized by the rise of compressive imaging. It has fundamentally changed the way modern image reconstruction is performed. This in-depth treatment of the subject commences with a practical introduction to compressive imaging, supplemented with examples and downloadable code, intended for readers without extensive background in the subject. Next, it introduces core topics in compressive imaging – including compressed sensing, wavelets and optimization – in a concise yet rigorous way, before providing a detailed treatment of the mathematics of compressive imaging. The final part is devoted to recent trends in compressive imaging: deep learning and neural networks. With an eye to the next decade of imaging research, and using both empirical and mathematical insights, it examines the potential benefits and the

優惠價： 9 3401

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90 折

21.

Networked Microgrids

出版日：2021/05/31 作者：Peng Zhang 出版社：Cambridge Univ Pr 裝訂：精裝

Discover scalable, dependable, and intelligent solutions to the challenges of integrating complex networked microgrids with this definitive guide to the development of cutting-edge power and data systems. Includes advanced fault management control and optimization to enable enhanced microgrid penetration without compromising reliability. Features SDN-based architectures and techniques to enable secure, reliable and fault-tolerant algorithms for resilient networked systems. Provides reachability techniques to facilitate a deeper understanding of microgrid resilience in areas with high penetration of renewables. Combining resilient control, fast programmable networking, reachability analysis, and cyber-physical security, this is essential reading for researchers, professional engineers, and graduate students interested in creating the next generation of data-intensive self-configurable networked microgrid systems, smart communities, and smart infrastructure.

優惠價： 9 3293

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22.

Aircraft Aerodynamic Design with Computational Software

出版日：2021/04/30 作者：Arthur Rizzi 出版社：Cambridge Univ Pr 裝訂：精裝

This modern text presents aerodynamic design of aircraft with realistic applications, using CFD software and guidance on its use. Tutorials, exercises, and mini-projects provided involve design of real aircraft, ranging from straight to swept to slender wings, from low speed to supersonic. Supported by online resources and supplements, this toolkit covers topics such as shape optimization to minimize drag and collaborative designing. Prepares seniors and first-year graduate students for design and analysis tasks in aerospace companies. In addition, it is a valuable resource for practicing engineers, aircraft designers, and entrepreneurial consultants.

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23.

Duct Acoustics：Fundamentals and Applications to Mufflers and Silencers

出版日：2021/04/30 作者：Erkan Dokumacı 出版社：Cambridge Univ Pr 裝訂：精裝

foundations of duct acoustics to the acoustic design of duct systems, through practical modeling, optimization and measurement techniques. Discover in-depth analyses of one- and three-dimensional models of sound generation, propagation and radiation, as techniques for assembling acoustic models of duct systems from simpler components are described. Identify the weaknesses of mathematical models in use and improve them by measurement when needed. Cope with challenges in acoustic design, and improve understanding of the underlying physics, by using the tools described. An essential reference for engineers and researchers who work on the acoustics of fluid machinery ductworks.

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Interactive Multiobjective Decision Making Under Uncertainty

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24.

Interactive Multiobjective Decision Making Under Uncertainty

出版日：2021/04/02 作者：Hitoshi Yano 出版社：CRC PR INC 裝訂：平裝

優惠價： 9 3236

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Mongodb Performance Tuning: Optimizing Mongodb Databases and Their Applications

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Mongodb Performance Tuning: Optimizing Mongodb Databases and Their Applications

出版日：2021/03/20 作者：Guy Harrison 出版社：Apress 裝訂：平裝

Use this fast and complete guide to optimize the performance of MongoDB databases and the applications that depend on them. You will be able to turbo-charge the performance of your MongoDB applications to provide a better experience for your users, reduce your running costs, and avoid application growing pains. MongoDB is the world's most popular document database and the foundation for thousands of mission-critical applications. This book helps you get the best possible performance from MongoDB.MongoDB Performance Tuning takes a methodical and comprehensive approach to performance tuning that begins with application and schema design and goes on to cover optimization of code at all levels of an application. The book also explains how to configure MongoDB hardware and cluster configuration for optimal performance. The systematic approach in the book helps you treat the true causes performance issues and get the best return on your tuning investment. Even when you're under pressure and

優惠價： 1 2090

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26.

Invitation to Linear Programming and Game Theory

出版日：2021/02/28 作者：David C. Vella 出版社：Cambridge Univ Pr 裝訂：精裝

Written in a conversational tone, this classroom-tested text introduces the fundamentals of linear programming and game theory, showing readers how to apply serious mathematics to practical real-life questions by modelling linear optimization problems and strategic games. The treatment of linear programming includes two distinct graphical methods. The game theory chapters include a novel proof of the minimax theorem for 2x2 zero-sum games. In addition to zero-sum games, the text presents variable-sum games, ordinal games, and n-player games as the natural result of relaxing or modifying the assumptions of zero-sum games. All concepts and techniques are derived from motivating examples, building in complexity, which encourages students to think creatively and leads them to understand how the mathematics is applied. With no prerequisite besides high school algebra, the text will be useful to motivated high school students and undergraduates studying business, economics, mathematics, and

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90 折

27.

Invitation to Linear Programming and Game Theory

出版日：2021/02/28 作者：David C. Vella 出版社：Cambridge Univ Pr 裝訂：平裝

Written in a conversational tone, this classroom-tested text introduces the fundamentals of linear programming and game theory, showing readers how to apply serious mathematics to practical real-life questions by modelling linear optimization problems and strategic games. The treatment of linear programming includes two distinct graphical methods. The game theory chapters include a novel proof of the minimax theorem for 2x2 zero-sum games. In addition to zero-sum games, the text presents variable-sum games, ordinal games, and n-player games as the natural result of relaxing or modifying the assumptions of zero-sum games. All concepts and techniques are derived from motivating examples, building in complexity, which encourages students to think creatively and leads them to understand how the mathematics is applied. With no prerequisite besides high school algebra, the text will be useful to motivated high school students and undergraduates studying business, economics, mathematics, and

優惠價： 9 2375

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28.

A Practical Guide to Power-line Communication

出版日：2020/10/31 作者：Christina Vlachou 出版社：Cambridge Univ Pr 裝訂：精裝

This excellent resource synthesizes the theory and practice of PLC, providing a straightforward introduction to the fundamentals of PLC, as well as an exhaustive review of the performance, evaluation, security, and heterogeneous network that combine PLC with other means of communications. It advances the groundwork on power-line communication (PLC), a tool which has the potential to boost the performance of local networks, and provides useful worked practical problems on, for example, PLC protocol optimization. Covering the PHY and MAC layers of the most popular PLC specifications, including tutorials and experimental frameworks, and featuring many examples of real-world applications and performance, it is ideal for university researchers and professional engineers designing and maintaining PLC or hybrid devices and networks.

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29.

Principles of Cyber-physical Systems ― An Interdisciplinary Approach

出版日：2020/10/31 作者：Sandip Roy 出版社：Cambridge Univ Pr 裝訂：精裝

This unique introduction to the foundational concepts of cyber-physical systems (CPS) describes key design principles and emerging research trends in detail. Several interdisciplinary applications are covered, with a focus on the wide-area management of infrastructures including electric power systems, air transportation networks, and health care systems. Design, control and optimization of cyber-physical infrastructures are discussed, addressing security and privacy issues of networked CPS, presenting graph-theoretic and numerical approaches to CPS evaluation and monitoring, and providing readers with the knowledge needed to operate CPS in a reliable, efficient, and secure manner. Exercises are included. This is an ideal resource for researchers and graduate students in electrical engineering and computer science, as well as for practitioners using cyber-physical systems in aerospace and automotive engineering, medical technology, and large-scale infrastructure operations.

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Patient-Centered Assisted Reproduction：How to Integrate Exceptional Care with Cutting-Edge Technology

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30.

Patient-Centered Assisted Reproduction：How to Integrate Exceptional Care with Cutting-Edge Technology

出版日：2020/04/30 作者：Alice D. Domar 出版社：Cambridge Univ Pr 裝訂：平裝

Address the future of innovative reproductive technologies with experts in the fields of IVF, fertility preservation and laboratory advances. This essential resource examines the changing roles of IVF, and moves beyond the basics of reproductive medicine. This book introduces the optimization of care, to improve patient outcomes, whilst facing ethical challenges that accompany new technologies, and applying the patient-centered care model to improve both patient and staff retention. By showcasing the future of the field in terms of clinical practice and innovative laboratory technologies, this guide will support clinics worldwide to provide high-quality customer experience, maintaining a competitive edge, following increasing standardization of clinical and laboratory protocols. This invaluable guide features chapters on patient evaluation, predictive modelling, advances in pharmacology, and laboratories of the future. Written by research and clinical leaders from around the world, it

優惠價： 9 2699

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31.

Wireless Communications and Networking for Unmanned Aerial Vehicles

出版日：2020/04/30 作者：Walid Saad 出版社：Cambridge Univ Pr 裝訂：精裝

A thorough treatment of UAV wireless communications and networking research challenges and opportunities. Detailed, step-by-step development of carefully selected research problems that pertain to UAV network performance analysis and optimization, physical layer design, trajectory path planning, resource management, multiple access, cooperative communications, standardization, control, and security is provided. Featuring discussion of practical applications including drone delivery systems, public safety, IoT, virtual reality, and smart cities, this is an essential tool for researchers, students, and engineers interested in broadening their knowledge of the deployment and operation of communication systems that integrate or rely on unmanned aerial vehicles.

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32.

Finite Elements for Engineers with ANSYS Applications

出版日：2020/02/29 作者：Mohamed S. Gadala 出版社：Cambridge Univ Pr 裝訂：精裝

The finite element method (FEM) is indispensable in modeling and simulation in various engineering and physical systems, including structural analysis, stress, strain, fluid mechanics, heat transfer, dynamics, eigenproblems, design optimization, sound propagation, electromagnetics, and coupled field problems. This textbook integrates basic theory with real-life, design-oriented problems using ANSYS, the most commonly used computational software in the field. For students as well as practicing engineers and designers, each chapter is highly illustrated and presented in a step-by-step manner. Fundamental concepts are presented in detail with reference to easy to understand worked examples that clearly introduce the method before progressing to more advanced content. Included are step-by-step solutions for project type problems using modelling software, special chapters for modelling and the use of ANSYS and Workbench programs, and extensive sets of problems and projects round out each ch

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33.

Mathematics for Machine Learning

出版日：2020/01/31 作者：Marc Peter Deisenroth 出版社：Cambridge Univ Pr 裝訂：精裝

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every cha

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90 折

34.

Mathematics for Machine Learning

出版日：2020/01/31 作者：Marc Peter Deisenroth 出版社：Cambridge Univ Pr 裝訂：平裝

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every cha

優惠價： 9 2159

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