Algorithms

Helping readers to understand and learn how to use F#, this book covers basic algorithms and data structures using an innovative functional programming approach. The authors first use analogies of hig

This first volume of the second edition contains major contributions on Predicate Logic, First- and Second-order Logic, Higher-order Logic, Algorithms and Decision Problems, and the Mathematics of

Computational methods for fluid dynamics are now considered as a reliable alternative to experimental techniques. This book outlines the main solution methods and algorithms available to those working

Computational methods for fluid dynamics are now considered as a reliable alternative to experimental techniques. This book outlines the main solution methods and algorithms available to those working

The data mining community has derived a broad foundation of statistical algorithms and software solutions that has allowed predictive analytics to become a standard approach used in science and indust

Steeb (scientific computing, U. of Johannesburg, South Africa) sets out all the basic concepts in the closely connected fields, together with the definitions, theorems, and algorithms, which are imple

This book provides the mathematical concepts needed to understand the most important algorithms currently used in finance, especially Monte Carlo, finite-difference, and parameter estimation. The aut

Machine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate different algorithms。 Specifically， the book distinguishes the inner nature

This two-volume set on Deformable Models: Biomedical and Clinical Applications & Theory and Biomaterial Applications provides a wide cross-section of the methods and algorithms of variational and

This text describes a series of models, propositions, and algorithms developed in recent years on time-varying networks. References and discussions on relevant problems and studies that have appeared

This book is an abridged version of our two-volume opus Convex Analysis and Minimization Algorithms [18], about which we have received very positive feedback from users, readers, lecturers ever since

Digital imagery and digital color are everywhere, yet operating a color-managed system has remained a mystery??Yuntil now! Fresh from pioneering work in color algorithms for FujiFilm, Dr. Abhay Sha

Series: Critical Concepts in Media and Cultural StudiesThis book delivers an accessible and up-to-date treatment of image processing, offering broad coverage and comparison of algorithms, approaches,

This book covers clinical examination in orthopaedics at an advanced level. It adopts a systemic approach, taking each region in turn, and uses bullet points, key information tables, algorithms, summa

This volume provides a systematic in-depth analysis of nonparametric learning. It covers the theoretical limits and the asymptotical optimal algorithms and estimates, such as pattern recognition, nonp

Series: Routledge Library of Twentieth Century EconomicsThis handbook provides a complete overview of the concepts, theories, algorithms, and applications related to robust low-rank and sparse matrix

This book presents the basic concepts and algorithms of computer algebra using practical examples that illustrate their actual use in symbolic computation. A wide range of topics are presented, includ

This book presents the major primal-dual algorithms for linear programming in straightforward terms. A thorough description of the theoretical properties of these methods is given, as are a discussion

Algorithmic Number Theory provides a thorough introduction to the design and analysis of algorithms for problems from the theory of numbers. Although not an elementary textbook, it includes over 300 e

Algorithmic Number Theory provides a thorough introduction to the design and analysis of algorithms for problems from the theory of numbers. Although not an elementary textbook, it includes over 300 e

Most neural-network programmes for personal computers and engineering workstations simply control a fixed set of canned network-layer algorithms with pulldown menus. This hands-on tutorial demonstrate

The origins of the mathematics in this book date back more than two thou- sand years, as can be seen from the fact that one of the most important algorithms presented here bears the name of the Greek

Neural Network Learning and Expert Systems is the first book to present a unified and in-depth development of neural network learning algorithms and neural network expert systems. Especially suitable

This text is concerned primarily with the theory of linear and nonlinear programming, and a number of closely-related problems, and with algorithms appropriate to those problems. In the first part of

Genetic algorithms are playing an increasingly important role in studies of complexadaptive systems, ranging from adaptive agents in economic theory to the use of machine learningtechniques in the des

Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the d

Providing a thorough, well-written and thoughtful study of the fundamental theoretical ideas of computing and examining how to design accurate and efficient algorithms, this book is ideal for an intro

Covers some of the work done since the second edition of Combinatorial Algorithms. Topics include: Gray codes, listing of subsets of given size of a given universe, listing rooted and free trees, sele

This book probes the stable marriage problem and its variants as a rich source of problems and ideas that illustrate both the design and analysis of efficient algorithms. It covers the most recent str

The Complexity of Robot Motion Planning makes original contributions both to robotics and to the analysis of algorithms. In this groundbreaking monograph John Canny resolves long-standing problems con

Animation provides a rich environment for actively exploring algorithms. Multiple, dynamic, graphical displays of an algorithm reveal properties that might otherwise be difficult to comprehend or even

This self-contained book provides a systematic account of the main algorithms derived from the simplex method and the means by which they may be organized into effective procedures for solving practic

A comprehensive account of recent algorithms developed in computational number theory and primality testing. Provides a general framework for the theoretical study of public key cryptography and pseud

Applicative languages provide a fully abstract, mathematically natural notation for specifying algorithms. This book develops a new approach to digital circuit design that is founded on the tenets of

New York Times and USA Today BestsellerOne thing I've learned being around Gary for the last decade is that when he sees new consumer trends or new best practices in marketing, people should listen and act on them. Michael Rubin, CEO of FanaticsIn his seventh business book, bestselling author, entrepreneur, and investor Gary Vaynerchuk offers fresh, in-depth advice to enhance brand development, grow sales, and beat the competition using modern advertising strategies grounded in social media.In his 2013 bestseller Jab, Jab, Jab, Right Hook, Gary Vaynerchuk showed the world how to create winning content for underpriced attention channels.But since then, new platforms have emerged, others have become less relevant, and algorithms are incentivizing new styles of content. New skills are necessary to create advertising that builds brand and sales.In his latest book, Vaynerchuk argues that todays fast-growing businesses, brands, content creators, and influencers have one thing in common: They

Topology optimization is a digital method for designing objects in order to achieve the best structural performance, sometimes in combination with other physical requirements. Topology optimization tools use mathematical algorithms, such as the finite element method and gradient computation, to generate designs based on desired characteristics and predetermined constraints. Initially a purely academic tool, topology optimization has advanced rapidly and is increasingly being applied to the design of a wide range of products and components, from furniture to spacecraft. To explore the potential and challenges of topology optimization, the National Academies of Sciences, Engineering, and Medicine hosted a two-day workshop on November 19-20, 2019, Exploiting Advanced Manufacturing Capabilities: Topology Optimization in Design. The workshop was organized around three main topics: how topology optimization can incorporate manufacturability along with functional design; challenges and opport

Road Traffic Modelling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. It examines both the commonly used traffic analysis methodologies as well the emerging ones that use deep learning methods. The book also shows how to understand statistical models and machine learning algorithms, and how to apply them to traffic modelling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, Road Traffic Modelling and Management: Using Statistical Monitoring and Deep Learning is for researchers and practitioners who want to improve the performance of intelligent transportation systems.

This book provides a comprehensive foundation of machine learning. To answer the questions of what to learn, how to learn, what to get from learning, and how to evaluate, as well as what is meant by learning, the book focuses on the fundamental basics of machine learning, its methodology, theory, algorithms, and evaluations, together with some philosophical thinking on comparison between machine learning and human learning for machinery intelligence.The book is organized as follows: Introduction (Chapter 1), Evaluation (Chapter 2), Supervised learning (Chapters 3, 4, and 5), Unsupervised learning (Chapter 6), Representation learning (Chapter 7), Problem decomposition (Chapter 8), Ensemble learning (Chapter 9), Deep learning (Chapter 10), Application (Chapter 11), and Challenges (Chapter 12).The book can be used as a textbook for college, undergraduate, graduate and PhD students majored in computer science, automation, electronic engineering, communication, ect. It can also be used as

本書著重論述了實值Gabor變換的理論、快速演算法及應用，介紹了如何快速求解信號的Gabor變換係數以及如何由變換係數快速地重建原信號，給出了便於軟體尤其是硬體實現的條件與路徑，極大提高了信號分析與處理的質量與效率，學術價值與應用價值顯而易見。

演算法正在影響人類活動的每個領域，從市場、醫學、遊戲到流行音樂。如果你想要了解形塑今日與明日世界的最強力量，請務必讀這本書。——Andrew McAfee，MIT首席研究科學家當你在網路上下單買下一張股票的時候，是否知道，我們的競爭對手其實都是一支支「演算法」？這些演算法每一秒鐘都在高速閱讀它們的專屬新聞、分析歷史資訊、在股市進行各種交易。我們考慮下單的猶豫片刻，全世界的演算法早已進出股市上萬次。