Stochastic Algorithms

1.

出版日：2009/11/01 作者：Osamu Watanabe (EDT); Thomas Zeugmann (EDT) 出版社：Springer-Verlag New York Inc 裝訂：平裝

This book constitutes the refereed proceedings of the 5th International Symposium on Stochastic Algorithms, Foundations and Applications, SAGA 2009, held in Sapporo, Japan, in October 2009.The 15 revi

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Stochastic Process Variation in Deep-Submicron CMOs ─ Circuits and Algorithms

75 折

2.

Stochastic Process Variation in Deep-Submicron CMOs ─ Circuits and Algorithms

出版日：2013/11/28 作者：Amir Zjajo 出版社：Springer Verlag 裝訂：精裝

One of the most notable features of nanometer scale CMOS technology is the increasing magnitude of variability of the key device parameters affecting performance of integrated circuits. The growth of variability can be attributed to multiple factors, including the difficulty of manufacturing control, the emergence of new systematic variation-generating mechanisms, and most importantly, the increase in atomic-scale randomness, where device operation must be described as a stochastic process. In addition to wide-sense stationary stochastic device variability and temperature variation, existence of non-stationary stochastic electrical noise associated with fundamental processes in integrated-circuit devices represents an elementary limit on the performance of electronic circuits.In an attempt to address these issues, Stochastic Process Variation in Deep-Submicron CMOS: Circuits and Algorithms offers unique combination of mathematical treatment of random process variation, electrical noise

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3.

Stochastic Processes

出版日：2015/06/17 作者：Emanuel Parzen 出版社：Dover Pubns 裝訂：平裝

Well-written and accessible, this classic introduction to stochastic processes and related mathematics is appropriate for advanced undergraduate students of mathematics with a knowledge of calculus an

優惠價： 9 682

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Understanding Coding by Building Algorithms

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4.

Understanding Coding by Building Algorithms

出版日：2017/01/01 作者：Patricia Harris 出版社：Powerkids Pr 裝訂：平裝

This detailed guide explores the historical development of algorithms and how they are used as a way of teaching computers to work through problems. Named for Persian mathematician Muhammad ibn Musa a

優惠價： 75 555

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DATA STRUCTURES AND ALGORITHMS IN JAVA 5/E INTERNATIONAL STUDENT VERSION

90 折

5.

DATA STRUCTURES AND ALGORITHMS IN JAVA 5/E INTERNATIONAL STUDENT VERSION

出版日：2010/03/16 作者：GOODRICH 出版社：JOHN WILEY & SONS;LTD 裝訂：平裝

Using a unique multimedia format for learning the fundamentals of data structures and algorithms, this conceptually elegant and innovative text incorporates the object-oriented design paradigm with Ja

優惠價： 9 1170

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6.

Optimal Control and Estimation

出版日：1994/09/20 作者：Robert F. Stengel 出版社：Dover Pubns 裝訂：平裝

Graduate-level text provides introduction to optimal control theory for stochastic systems, emphasizing application of basic concepts to real problems.

優惠價： 9 1368

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INTRODUCTION TO PROBABILITY SECOND EDITION

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7.

INTRODUCTION TO PROBABILITY SECOND EDITION

作者：DIMITRI P. BERTSEKAS; JOHN N. TSITSIKLIS 出版社：Athena Scientific 裝訂：平裝

An intuitive, yet precise introduction to probability theory, stochastic processes, statistical inference, and probabilistic models used in science, engineering, economics, and related fields. This is

優惠價： 1 1700

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Stochastic Recursive Algorithms for Optimization—Simultaneous Perturbation Methods

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8.

Stochastic Recursive Algorithms for Optimization—Simultaneous Perturbation Methods

出版日：2012/08/12 作者：S. Bhatnagar; H. L. Prasad; L.a. Prashanth 出版社：Springer Verlag 裝訂：平裝

Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement learning. Efficient perturbation approaches form a thread unif

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Stochastic Approximation and Recursive Algorithms and Applications

90 折

9.

Stochastic Approximation and Recursive Algorithms and Applications

出版日：2003/07/01 作者：Harold J. Kushner; G. George Yin 出版社：Springer Verlag 裝訂：精裝

This book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both constrained and unconstrained problems. This second edition is a

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10.

Artificial Communication

出版日：2022/04/05 作者：Elena Esposito 出版社：Mit Pr 裝訂：精裝

A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication. Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but as artificial communication. To do this, we need a concept of communication that can take into account the possibility that a communication partner may not be a human being but an algor

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Algorithms To Live By : The Computer Science Of Human Decisions

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11.

Algorithms To Live By : The Computer Science Of Human Decisions

出版日：2017/04/06 作者：Christian; Brian 出版社：William Collins UK 裝訂：平裝

探討如何將電腦科學中的演算法原理應用到日常生活與人類決策中。作者結合心理學、認知科學與計算機科學，說明演算法不僅是電腦解題的工具，更是我們在面對生活難題時可借鑑的思考模型。本書涵蓋多種實用議題，透過演算法的視角來處理生活中的決策與權衡，例如：➤最佳停下時機（Optimal Stopping）：如何判斷在眾多選項中何時停止尋找並做出決定，如招聘或約會。➤探索與利用的平衡（Explore-Exploit Trade-off）：何時探索新機會，何時利用已知資源。➤排序與組織：提升查找效率的策略。➤快取管理：如何在有限記憶空間中有效保留重要資訊。➤工作排程與切換成本：如何管理多任務與優先順序。➤貝氏定理（Bayes's Rule）：結合先驗知識與新資訊做出推論。➤放寬問題限制：在無解或計算困難的情況下，尋求「夠好」的近似解。➤隨機性與資源管理：利用隨機策略在不確定環境下取得良好結果。➤網絡與遊戲理論：理解互動系統與多方利益的決策動態。書中強調，雖然演算法能為複雜問題提供指導，但現實生活中決策仍存在不確定性和失敗風險。重要的是採用合理的策略來面對時間與資源限制，並學習在不完美中作出最佳抉擇。該書還指出，人類在面對計算難題時，常能透過直覺和簡化模型達成驚人的表現。此書獲得廣泛好評，被譽為一本能讓人重新認識「演算法」不僅屬於科技領域，更是生活智慧的指導手冊。A fascinating exploration of how computer algorithms can be applied to our everyday lives. What should we do, or leave undone, in a day or a lifetime? Exploring how insights from computer algorithms can be applied to our everyday lives, 'Algorithms To Live By' helps to solve common decision-making problems and illuminate the workings of the human mind. When should you switch between different tasks, and how many tas

優惠價： 79 477

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12.

Stochastic Decomposition ― A Statistical Method for Large Scale Stochastic Linear Programming

出版日：1996/06/01 作者：Julia L. Higle; Suvrajeet Sen 出版社：Springer Verlag 裝訂：精裝

This book summarizes developments related to a class of methods called Stochastic Decomposition (SD) algorithms, which represent an important shift in the design of optimization algorithms. Unlike tra

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The Technological Republic: Hard Power, Soft Belief, and the Future of the West

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13.

The Technological Republic: Hard Power, Soft Belief, and the Future of the West

出版日：2025/02/18 作者：Alexander C. Karp and Nicholas W. Zamiska 出版社：Random House Inc 裝訂：平裝

From one of tech’s boldest thinkers and his longtime deputy and advisor, a sweeping indictment of Silicon Valley, showing how the West has slid into a culture of complacency, even as we enter a new era of mounting global threats.Silicon Valley has lost its way. From the founding of the American republic through much of the twentieth century, our most brilliant engineering minds collaborated with government to advance world-changing technologies. Their efforts secured the West’s dominant place in the geopolitical order. But that relationship has now eroded, with perilous repercussions.The focus of tech companies drifted to consumers, as they constructed elaborate online advertising and social media platforms. The market rewarded this shallow engagement with the potential of technology. The result? An entire generation of talented engineers and founders built photo-sharing apps and marketing algorithms, often unwittingly becoming vessels for the ambitions of others and depriving themselv

優惠價： 79 630

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Introduction to Mathematical Portfolio Theory

75 折

14.

Introduction to Mathematical Portfolio Theory

出版日：2013/08/31 作者：Mark S. Joshi 出版社：Cambridge Univ Pr 裝訂：精裝

In this concise yet comprehensive guide to the mathematics of modern portfolio theory the authors discuss mean-variance analysis, factor models, utility theory, stochastic dominance, very long term investing, the capital asset pricing model, risk measures including VAR, coherence, market efficiency, rationality and the modelling of actuarial liabilities. Each topic is clearly explained with assumptions, mathematics, limitations, problems and solutions presented in turn. Joshi's trademark style of clarity and practicality is here brought to classical financial mathematics. The book is suitable for mathematically trained students in actuarial studies, business and economics as well as mathematics and finance, and it can be used for both self-study and as a course text. The authors' experience as both academics and practitioners brings clarity and relevance to the book, whilst ensuring that the limitations of models are highlighted.

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Variants of Evolutionary Algorithms for Real-World Applications

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15.

Variants of Evolutionary Algorithms for Real-World Applications

出版日：2011/11/11 作者：Raymond Chiong (EDT); Thomas Weise (EDT); Zbigniew Michalewicz (EDT) 出版社：Springer-Verlag New York Inc 裝訂：精裝

Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic prob

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Online Stochastic Combinatorial Optimization

79 折

16.

Online Stochastic Combinatorial Optimization

出版日：2006/10/13 作者：Russell Bent 出版社：Mit Pr 裝訂：精裝

This title offers a framework for online decision making under uncertainty and time constraints, with online stochastic algorithms for implementing the framework, performance guarantees, and demonstra

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17.

Stochastic Local Search

出版日：2004/09/16 作者：Holger H. Hoos; Thomas Stutzle 出版社：Elsevier Science Ltd 裝訂：精裝

Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems in many areas of computer science and operations research

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18.

Stochastic Approximation and Its Application

出版日：2002/10/01 作者：Han-Fu Chen 出版社：Springer Verlag 裝訂：平裝

This book presents the recent development of stochastic approximation algorithms with expanding truncations based on the TS (trajectory-subsequence) method, a newly developed method for convergence an

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19.

Stochastic Linear Programming Algorithms ― A Comparison Based on a Model Management System

出版日：1998/11/01 作者：Janos Mayer 出版社：Taylor & Francis 裝訂：精裝

A computationally oriented comparison of solution algorithms for two stage and jointly chance constrained stochastic linear programming problems, this is the first book to present comparative computat

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Algospeak: How Social Media Is Transforming the Future of Language

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20.

Algospeak: How Social Media Is Transforming the Future of Language

出版日：2025/07/15 作者：Adam Aleksic 出版社：Random House Inc 裝訂：平裝

“Packed with fascinating facts, of-the-moment observations, and a sparkling voice,Algospeakis a gift to any word nerd. Deftly covering everything from emoji etymologies and trendbait to Taylor Swift fanilects... Adam Aleksic is the wise, yet accessible internet linguistics oracle we need.”—Amanda Montell, author ofThe Age of Magical OverthinkingandCultishFrom “brainrot” memes and incel slang to the trend of adding“-core” to different influencer aesthetics, the internet has ushered in an unprecedented linguistic upheaval. We’re entering an entirely new era of etymology, heralded by the invisible forces driving social media algorithms. Thankfully,Algospeakis here to explain. As a professional linguist, Adam Aleksic understands the gravity of language and the way we use it: he knows the ways it has morphed and changed, how it reflects society, and how, in its everyday usage, we carry centuries of human history on our tongues. As a social media influencer, Aleksic is also intimately famili

優惠價： 79 630

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The Algorithm : How AI Decides Who Gets Hired, Monitored, Promoted, and Fired and Why We Need to Fight Back Now

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21.

The Algorithm : How AI Decides Who Gets Hired, Monitored, Promoted, and Fired and Why We Need to Fight Back Now

出版日：2024/01/02 作者：Hilke Schellmann 出版社：Hachette Go 裝訂：平裝

榮獲ANTHEM大獎，入選《金融時報》2024年度最佳好書——《演算法》揭露AI正在悄悄主宰我們的工作與生活。記者Hilke Schellmann深入追蹤演算法如何影響求職、監控員工、甚至預測心理健康。她揭示AI背後的偏見與錯誤，並呼籲人類應奪回對未來的主導權。在這個AI重塑世界的時代，本書是一道警鐘，也是一線希望。ANTHEM AWARD WINNER • NAMED A FINANCIAL TIMES BEST BOOK OF THE YEAR 2024AI is on the brink of dominating our lives, threating our privacy and human future—if we don’t take action now. In The Algorithm, Emmy‑award winning Wall Street Journal and Guardian contributor Hilke Schellmann delivers a shocking and illuminating exposé on one of the most pressing civil rights issues of our time: how AI has quietly, and mostly out of sight, taken over the world of work. Schellmann takes readers on a journalistic detective story, meeting job applicants and employees who have been subjected to these technologies, playing AI-based video games that companies use for hiring, and investigating algorithms that scan our online activity to construct personality profiles— including if we are prone to self -harm. She convinces whistleblowers to share r

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Coding Concepts for Kids: Learn to Code Without a Computer

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22.

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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23.

Introduction to Stochastic Processes

出版日：2013/02/20 作者：Erhan Cinlar 出版社：Dover Pubns 裝訂：平裝

" This clear presentation of the most fundamental models of random phenomena employs methods that recognize computer-related aspects of theory. Topics include probability spaces and random variables,

優惠價： 9 1197

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Optimization Algorithms on Matrix Manifolds

90 折

24.

Optimization Algorithms on Matrix Manifolds

出版日：2007/12/03 作者：P. A. Absil; R. Mahony; R. Sepulchre 出版社：Princeton Univ Pr 裝訂：精裝

Many problems in the sciences and engineering can be rephrased as optimization problems on matrix search spaces endowed with a so-called manifold structure. This book shows how to exploit the special

優惠價： 9 4752

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Stochastic Modelling of Reaction-Diffusion Processes

90 折

25.

Stochastic Modelling of Reaction-Diffusion Processes

出版日：2019/12/31 作者：Radek Erban 出版社：Cambridge Univ Pr 裝訂：平裝

This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors discuss the essence of mathematical methods which appear (under different names) in a number of interdisciplinary scientific fields bridging mathematics and computations with biology and chemistry. The book can be used both for self-study and as a supporting text for advanced undergraduate or beginning graduate-level courses in applied mathematics. New mathematical approaches are explained using simple examples of biological models, which range in size from simulations of small biomolecules to groups of animals. The book starts with stochastic modelling of chemical reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio-temporal models are then studied, including models of diffusion and stochastic reaction-diffusion modelling. The methods covered include molecula

優惠價： 9 2213

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90 折

26.

Stochastic Modelling of Reaction–diffusion Processes

出版日：2019/12/31 作者：Radek Erban 出版社：Cambridge Univ Pr 裝訂：精裝

This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors discuss the essence of mathematical methods which appear (under different names) in a number of interdisciplinary scientific fields bridging mathematics and computations with biology and chemistry. The book can be used both for self-study and as a supporting text for advanced undergraduate or beginning graduate-level courses in applied mathematics. New mathematical approaches are explained using simple examples of biological models, which range in size from simulations of small biomolecules to groups of animals. The book starts with stochastic modelling of chemical reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio-temporal models are then studied, including models of diffusion and stochastic reaction-diffusion modelling. The methods covered include molecula

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Molecular Dynamics ― With Deterministic and Stochastic Numerical Methods

90 折

27.

Molecular Dynamics ― With Deterministic and Stochastic Numerical Methods

出版日：2015/06/02 作者：Ben Leimkuhler; Charles Matthews 出版社：Springer Verlag 裝訂：精裝

This book describes the mathematical underpinnings of algorithms used for molecular dynamics simulation, including both deterministic and stochastic numerical methods. Molecular dynamics is one of the

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Stochastic Approximation:A Dynamical Systems Viewpoint

90 折

28.

Stochastic Approximation:A Dynamical Systems Viewpoint

出版日：2008/09/01 作者：Vivek S. Borkar 出版社：Cambridge Univ Pr 裝訂：精裝

This simple, compact toolkit for designing and analyzing stochastic approximation algorithms requires only basic literacy in probability and differential equations. Yet these algorithms have powerful applications in control and communications engineering, artificial intelligence and economic modelling. The dynamical systems viewpoint treats an algorithm as a noisy discretization of a limiting differential equation and argues that, under reasonable hypotheses, it tracks the asymptotic behaviour of the differential equation with probability one. The differential equation, which can usually be obtained by inspection, is easier to analyze. Novel topics include finite-time behaviour, multiple timescales and asynchronous implementation. There is a useful taxonomy of applications, with concrete examples from engineering and economics. Notably it covers variants of stochastic gradient-based optimization schemes, fixed-point solvers, which are commonplace in learning algorithms for approximate

優惠價： 9 3041

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Performance Analysis Of Communication Systems - Modelling With Non-Markovian Stochastic Petri Nets

90 折

29.

Performance Analysis Of Communication Systems - Modelling With Non-Markovian Stochastic Petri Nets

出版日：2000/04/04 作者：German 出版社：John Wiley & Sons Inc 裝訂：精裝

Provides a clear and systematic introduction to the use of stochastic Petri nets in communications systems engineering and the analysis techniques and algorithms used in performance evaluation.The fie

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Electromagnetic Optimization By Genetic Algorithms

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30.

Electromagnetic Optimization By Genetic Algorithms

出版日：1999/07/09 作者：Rahmat-Samii 出版社：John Wiley & Sons Inc 裝訂：精裝

Authoritative coverage of a revolutionary technique for overcoming problems in electromagnetic design Genetic algorithms are stochastic search procedures modeled on the Darwinian concepts of natural s

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31.

演算法學習手冊：寫出更有效率的程式

出版日：2022/06/22 作者：George T. Heineman 出版社：美商歐萊禮 裝訂：平裝

「一本平易近人的著作，可讓你立即應用進而提升程式的執行效率。書中將教你電腦科學中會用到的基本演算法和資料型別。如果你正在找一份程式設計相關的技術工作，這本書可能會在下次的程式面試中幫助你取得好成績。」 ― Zvi Galil 喬治亞理工學院計算學院Frederick G. Storey主任暨名譽院長論及撰寫有效率的程式時，每位軟體專業人士都需要具備有效率的演算法運作知識。在這本實務書籍中，《Algorithms in a Nutshell》作者George Heineman對於多種語言編寫程式時所用的效能改進關鍵演算法，有簡潔而詳實的介紹。軟體開發人員、測試人員、維護人員將理解演算法如何創造性地解決運算問題。每章都會以前面章節內容為基礎，藉由清晰的圖示和不斷提供的新基本概念，包括演算法分析，對書中介紹的每個演算法做效能分級。你可以將每章所學到的內容，應用到該章最後的挑戰題中，如同模擬在程式術科面試場上的體驗。閱讀本書，你將可以： ‧探索電腦科學和軟體工程核心的基本演算法 ‧學習有效率解決問題的常見策略，例如：分治法、動態規劃、貪婪方法 ‧使用Big-O分析與評估程式的時間複雜度 ‧使用現有的Python函式庫和資料結構來解決演算法問題 ‧了解重要演算法的主要步驟

優惠價： 9 522

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79 折

32.

Algorithms for Decision Making

出版日：2022/08/02 作者：Mykel J. Kochenderfer 出版社：Mit Pr 裝訂：精裝

A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.Automated decision-making systems or decision-support systems―used in applications that range from aircraft collision avoidance to breast cancer screening―must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through inte

優惠價： 79 4503

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An Introduction to Sparse Stochastic Processes

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33.

An Introduction to Sparse Stochastic Processes

出版日：2014/10/31 作者：Michael Unser 出版社：Cambridge Univ Pr 裝訂：精裝

Providing a novel approach to sparsity, this comprehensive book presents the theory of stochastic processes that are ruled by linear stochastic differential equations, and that admit a parsimonious representation in a matched wavelet-like basis. Two key themes are the statistical property of infinite divisibility, which leads to two distinct types of behaviour - Gaussian and sparse - and the structural link between linear stochastic processes and spline functions, which is exploited to simplify the mathematical analysis. The core of the book is devoted to investigating sparse processes, including a complete description of their transform-domain statistics. The final part develops practical signal-processing algorithms that are based on these models, with special emphasis on biomedical image reconstruction. This is an ideal reference for graduate students and researchers with an interest in signal/image processing, compressed sensing, approximation theory, machine learning, or statistic

優惠價： 9 2164

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34.

Stochastic Networks

出版日：2014/03/31 作者：Frank Kelly 出版社：Cambridge Univ Pr 裝訂：平裝

Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. Randomness arises in communication systems at many levels: for example, the initiation and termination times of calls in a telephone network, or the statistical structure of the arrival streams of packets at routers in the Internet. How can routing, flow control and connection acceptance algorithms be designed to work well in uncertain and random environments? This compact introduction illustrates how stochastic models can be used to shed light on important issues in the design and control of communication networks. It will appeal to readers with a mathematical background wishing to understand this important area of application, and to those with an engineering background who want to grasp the underlying mathematical theory. Each chapter ends with exercises and suggestions for further reading.

優惠價： 9 1052

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90 折

35.

Stochastic Networks

出版日：2014/03/31 作者：Frank Kelly 出版社：Cambridge Univ Pr 裝訂：精裝

Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. Randomness arises in communication systems at many levels: for example, the initiation and termination times of calls in a telephone network, or the statistical structure of the arrival streams of packets at routers in the Internet. How can routing, flow control and connection acceptance algorithms be designed to work well in uncertain and random environments? This compact introduction illustrates how stochastic models can be used to shed light on important issues in the design and control of communication networks. It will appeal to readers with a mathematical background wishing to understand this important area of application, and to those with an engineering background who want to grasp the underlying mathematical theory. Each chapter ends with exercises and suggestions for further reading.

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Stochastic Scheduling:Expectation-Variance Analysis of a Schedule

90 折

36.

Stochastic Scheduling:Expectation-Variance Analysis of a Schedule

出版日：2010/03/31 作者：Subhash C. Sarin 出版社：Cambridge Univ Pr 裝訂：精裝

Stochastic scheduling is in the area of production scheduling. There is a dearth of work that analyzes the variability of schedules. In a stochastic environment, in which the processing time of a job is not known with certainty, a schedule is typically analyzed based on the expected value of a performance measure. This book addresses this problem and presents algorithms to determine the variability of a schedule under various machine configurations and objective functions. It is intended for graduate and advanced undergraduate students in manufacturing, operations management, applied mathematics, and computer science, and it is also a good reference book for practitioners. Computer software containing the algorithms is provided on an accompanying website for ease of student and user implementation.

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90 折

37.

Modern Stochastics and Applications

出版日：2014/02/28 作者：Volodymyr Korolyuk (EDT); Nikolaos Limnios (EDT); Yuliya Mishura (EDT); Lyudmyla Sakhno (EDT); Georgiy Shevchenko (EDT) 出版社：Springer Verlag 裝訂：精裝

This volume presents an extensive overview of all major modern trends in applications of probability and stochastic analysis. It will be a great source of inspiration for designing new algorithms, mod

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Stochastic Resonance ― From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization

滿額折

38.

Stochastic Resonance ― From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization

出版日：2012/10/25 作者：Mark D. McDonnell 出版社：Cambridge Univ Pr 裝訂：平裝

Stochastic resonance has been observed in many forms of systems, and has been hotly debated by scientists for over 30 years. Applications incorporating aspects of stochastic resonance may yet prove revolutionary in fields such as distributed sensor networks, nano-electronics, and biomedical prosthetics. Ideal for researchers in fields ranging from computational neuroscience through to electronic engineering, this book addresses in detail various theoretical aspects of stochastic quantization, in the context of the suprathreshold stochastic resonance effect. Initial chapters review stochastic resonance and outline some of the controversies and debates that have surrounded it. The book then discusses suprathreshold stochastic resonance, and its extension to more general models of stochastic signal quantization. Finally, it considers various constraints and tradeoffs in the performance of stochastic quantizers, before culminating with a chapter in the application of suprathreshold stochas

優惠價： 9 2690

無庫存

39.

Numerical Analysis and Applied Mathematics ICNAAM 2012—International Conference of Numerical Analysis and Applied Mathematics, Kos, Greece 19-25 September 2012

出版日：2012/10/24 作者：Theodore E. Simos (EDT); George Psihoyios (EDT); Ch. Tsitouras (EDT); Zacharias Anastassi (EDT) 出版社：Springer Verlag 裝訂：平裝

All the research areas of Numerical Analysis and Computational Mathematics (Numerical ODEs, Numerical PDEs (inc. BVPs), Scientific Computing and Algorithms, Stochastic Differential Equations, Approxim

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90 折

40.

Stochastic Resonance:From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization

出版日：2008/10/27 作者：Mark D. McDonnell 出版社：Cambridge Univ Pr 裝訂：精裝

Stochastic resonance has been observed in many forms of systems, and has been hotly debated by scientists for over 30 years. Applications incorporating aspects of stochastic resonance may yet prove revolutionary in fields such as distributed sensor networks, nano-electronics, and biomedical prosthetics. Ideal for researchers in fields ranging from computational neuroscience through to electronic engineering, this book addresses in detail various theoretical aspects of stochastic quantization, in the context of the suprathreshold stochastic resonance effect. Initial chapters review stochastic resonance and outline some of the controversies and debates that have surrounded it. The book then discusses suprathreshold stochastic resonance, and its extension to more general models of stochastic signal quantization. Finally, it considers various constraints and tradeoffs in the performance of stochastic quantizers, before culminating with a chapter in the application of suprathreshold stochas

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

熱搜：

Stochastic Algorithms