The LLL Algorithm

The area of computational cryptography is dedicated to the development of effective methods in algorithmic number theory that improve implementation of cryptosystems or further their cryptanalysis. This book is a tribute to Arjen K. Lenstra, one of the key contributors to the field, on the occasion of his 65th birthday, covering his best-known scientific achievements in the field. Students and security engineers will appreciate this no-nonsense introduction to the hard mathematical problems used in cryptography and on which cybersecurity is built, as well as the overview of recent advances on how to solve these problems from both theoretical and practical applied perspectives. Beginning with polynomials, the book moves on to the celebrated Lenstra–Lenstra–Lovász lattice reduction algorithm, and then progresses to integer factorization and the impact of these methods to the selection of strong cryptographic keys for usage in widely used standards.

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.

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.

In Beyond the Algorithm: Qualitative Insights for Gig Work Regulation, Deepa Das Acevedo and a collection of scholars and experts show why government actors must go beyond mass surveys and data-scrubbing in order to truly understand the realities of gig work. The contributors draw on qualitative empirical research to reveal the narratives and real-life experiences that define gig work, and they connect these insights to policy debates being fought out in courts, town halls, and even in Congress itself. The book also bridges academic and non-academic worlds by drawing on the experiences of drivers, journalists, and workers' advocates who were among the first people to study gig work from the bottom up. This book is a must-read for anyone interested in gig work, the legal infrastructure surrounding it, and how that infrastructure can and must be improved.

The Camberwell Assessment of Need for adults with Developmental and Intellectual Disabilities (CANDID) is a widely used tool for the assessment of health and social needs of people with intellectual disabilities and mental health problems. It uses the assessment approach adopted by CAN, the world's leading mental health needs assessment measure. Two versions of the CANDID are available: CANDID-S (short version) and CANDID-R (research version). Both versions are aimed at researchers and practitioners working with people with intellectual disabilities, and are suitable for clinical use in community and hospital-based services. Fully updated based on current policy, practice and terminology, this second edition introduces a more intuitive need rating system and an accessible rating algorithm. Guidance on how to use the measures is provided, as well as an overview of research developments since the first edition. The assessment forms are freely available to download from the CAN website (r

Global and national confidential inquiry reports show that 60 to 80% of maternal and neonatal morbidity and mortality are due to avoidable errors. This comprehensive and illustrated second edition offers a practical guide to the management of obstetric, medical, surgical, anaesthetic and newborn emergencies in addition to organisational and training issues. The book is divided conveniently into nine sections and updated throughout in line with modern research and practice. Several new chapters cover setting up skills and drills training in maternity services to reduce avoidable harm, managing obstetric emergencies during 'home births' and in low-risk midwifery units, and minimizing maternal and fetal morbidity in failed operative vaginal delivery. Each chapter includes a practical algorithm for quick reference, the scientific basis for proposed actions, a case-based practical exercise and useful learning tools such as 'Key Pearls' and 'Key Pitfalls'. An invaluable resource for obstetri

Authored by pioneers in dermatology and laser medicine, this unique text is the first comprehensive overview of the treatment of burn and traumatic scars. The content is logically divided into three sections: Defining the Problem, which covers important fundamentals such as the clinically relevant elements of wound care, pain, range of motion, and patient selection, and includes a treatment valuable algorithm. The next section focuses on Treatment, and features discussion of traditional techniques as well as laser assisted drug delivery, fractional resurfacing, vascular lasers and lights, minimally invasive surgical techniques, and more. The final section is devoted to Caring for Wounds and Complications, and includes best practices for wound care, and management of pain, infection, and ulceration. You will find cutting-edge coverage of the latest treatment options, including lasers, medications, and biological implants, along with extensive discussion of wound care.

Want to kill it at your job interview in the tech industry? Want to win that coding competition? Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem setters, and jurors for coding competitions. The authors highlight the versatility of each algorithm by considering a variety of problems and show how to implement algorithms in simple and efficient code. Readers can expect to master 128 algorithms in Python and discover the right way to tackle a problem and quickly implement a solution of low complexity. Classic problems like Dijkstra's shortest path algorithm and Knuth-Morris-Pratt's string matching algorithm are featured alongside lesser known data structures like Fenwick trees and Knuth's dancing links. The book provides a framework to tackle algorithmic problem solving, including: Definition, Complexity, Applications, Algorithm, Key Information, Implementation, Variants, In Practice, and Problems. Python code included in the book

In Beyond the Algorithm: Qualitative Insights for Gig Work Regulation, Deepa Das Acevedo and a collection of scholars and experts show why government actors must go beyond mass surveys and data-scrubbing in order to truly understand the realities of gig work. The contributors draw on qualitative empirical research to reveal the narratives and real-life experiences that define gig work, and they connect these insights to policy debates being fought out in courts, town halls, and even in Congress itself. The book also bridges academic and non-academic worlds by drawing on the experiences of drivers, journalists, and workers' advocates who were among the first people to study gig work from the bottom up. This book is a must-read for anyone interested in gig work, the legal infrastructure surrounding it, and how that infrastructure can and must be improved.

Dive Into Algorithms is a broad introduction to algorithms using the Python Programming Language.Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithm

Volume 3: Complex Coding Systems of the Practical Handbook of Genetic Algorithms contains computer-code examples for the development of genetic algorithm systems, compiling them from an array of prac

There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning.

This book discusses one of the most recent developments in interior-point methods, the arc-search techniques. Introducing these techniques result in an efficient interior-point algorithm with the lowe

This book gives an introduction to the programming language Structured Text (ST) which is used in Programmable Logic Controllers (PLC). The book can be used for all types of PLC brands including Siemens Structured Control Language (SCL) and Programmable Automation Controllers (PAC). This 3rd edition has been updated and expanded with many of the suggestions and questions that readers and students have come up with, including the desire for many more illustrations and program examples. CONTENTS: - Background, benefits and challenges of ST programming - Syntax, data types, best practice and basic ST programming - IF-THEN-ELSE, CASE, FOR, CTU, TON, STRUCT, ENUM, ARRAY, STRING - Guide for best practice naming, troubleshooting, test and program structure - Sequencer and code split-up into functions and function blocks - FIFO, RND, sorting, scaling, toggle, simulation signals and digital filter - Tank controls, conveyor belts, adaptive pump algorithm and robot control - PLC program structure

Communication complexity is the mathematical study of scenarios where several parties need to communicate to achieve a common goal, a situation that naturally appears during computation. This introduction presents the most recent developments in an accessible form, providing the language to unify several disjoint research subareas. Written as a guide for a graduate course on communication complexity, it will interest a broad audience in computer science, from advanced undergraduates to researchers in areas ranging from theory to algorithm design to distributed computing. The first part presents basic theory in a clear and illustrative way, offering beginners an entry into the field. The second part describes applications including circuit complexity, proof complexity, streaming algorithms, extension complexity of polytopes, and distributed computing. Proofs throughout the text use ideas from a wide range of mathematics, including geometry, algebra, and probability. Each chapter contain

Generative art is the art of the algorithm where artists must carefully design the nature of their work, and then implement it as a computer program. In the book, J.R. Parker presents computer program

The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, and computer programs can be t

This book provides theoretical and practical knowledge on AI and swarm intelligence. It provides a methodology for EA (evolutionary algorithm)-based approach for complex adaptive systems with the inte

Using a unique, tried and tested algorithm, this book teaches you how to quickly and efficiently recognize letters and common words in Greek script. Whether you're travelling and want to understand th

Do you know how to create an algorithm? These cats sure do! Author Brian P. Cleary and illustrator (and coding hobbyist) Martin Goneau offer a fun and accessible introduction to algorithms with the he

This user-friendly textbook introduces complex analysis at the beginning graduate or advanced undergraduate level. Unlike other textbooks, it follows Weierstrass' approach, stressing the importance of power series expansions instead of starting with the Cauchy integral formula, an approach that illuminates many important concepts. This view allows readers to quickly obtain and understand many fundamental results of complex analysis, such as the maximum principle, Liouville's theorem, and Schwarz's lemma. The book covers all the essential material on complex analysis, and includes several elegant proofs that were recently discovered. It includes the zipper algorithm for computing conformal maps, as well as a constructive proof of the Riemann mapping theorem, and culminates in a complete proof of the uniformization theorem. Aimed at students with some undergraduate background in real analysis, though not Lebesgue integration, this classroom-tested textbook will teach the skills and intui

Abstract Algebra with Applications provides a friendly and concise introduction to algebra, with an emphasis on its uses in the modern world. The first part of this book covers groups, after some preliminaries on sets, functions, relations, and induction, and features applications such as public-key cryptography, Sudoku, the finite Fourier transform, and symmetry in chemistry and physics. The second part of this book covers rings and fields, and features applications such as random number generators, error correcting codes, the Google page rank algorithm, communication networks, and elliptic curve cryptography. The book's masterful use of colorful figures and images helps illustrate the applications and concepts in the text. Real-world examples and exercises will help students contextualize the information. Intended for a year-long undergraduate course in algebra for mathematics, engineering, and computer science majors, the only prerequisites are calculus and a bit of courage when ask

The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book's emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.

The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book's emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.

Using a unique, tried and tested algorithm, this book teaches you how to quickly and efficiently recognize letters and common words in Korean script. Whether you're traveling and want to understand th

This book systematically analyses the latest insights into night vision imaging processing and perceptual understanding as well as related theories and methods. The algorithm model and hardware system

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use i

Using a unique, tried and tested algorithm, this book teaches you how to quickly and efficiently recognize letters and common words in Arabic script. Whether you're traveling the want to understand th

This timely book provides broad coverage of security and privacy issues in the macro and micro perspective. In macroperspective, the system and algorithm fundamentals of next-generation 

?This book provides various speech enhancement algorithms for digital hearing aids. It covers information on noise signals extracted from silences of speech signal. The description of the algorithm us

A simple algorithm for solving a set of nonlinear equations by matrix algebra has been discovered recently — ; first by transforming them into an equivalent matrix equation and then finding the soluti

If you were accused of a crime, would you rather have an impartial algorithm or an empathetic judge decide your sentence? This is just one of the dilemmas we face today, when the machine reigns suprem

Reporting a novel breakthrough in the identification and investigation of solvable and integrable nonlinearly coupled evolution ordinary differential equations (ODEs) or partial differential equations (PDEs), this text includes practical examples throughout to illustrate the theoretical concepts. Beginning with systems of ODEs, including second-order ODEs of Newtonian type, it then discusses systems of PDEs, and systems evolving in discrete time. It reports a novel, differential algorithm which can be used to evaluate all the zeros of a generic polynomial of arbitrary degree: a remarkable development of a fundamental mathematical problem with a long history. The book will be of interest to applied mathematicians and mathematical physicists working in the area of integrable and solvable non-linear evolution equations; it can also be used as supplementary reading material for general applied mathematics or mathematical physics courses.

The book reflects the improvements made to the standard algorithm for the finite-difference time-domain (FDTD) method and treatment of absorbing boundary conditions in FDTD, finite element, and transm

Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing

Emergency and critical care providers are often challenged by patients with acute cardiorespiratory symptoms and abnormal electrocardiograms. Critical Cases in Electrocardiography emphasizes clinically-relevant topics, focusing squarely on situations where interpretation of the ECG contributes to clinical decision-making. This atlas is unique, in that it includes numerous examples of ECG 'misses' - cases where the computer algorithm or the clinicians (or both) got the diagnosis wrong. While many textbooks include only smaller, black and white ECG tracings, which do not resemble actual clinical practice, this volume is designed to encourage self-study of the ECG by including full-page tracings in their natural color. The book focuses on 'don't miss' ECG tracings in order to help readers advance beyond the stage of 'competent' electrocardiographer. Anatomic and electrophysiologic correlations are emphasized throughout the work, helping readers appreciate the anatomic and electrical origi

This book provides theoretical and practical knowledge about a methodology for evolutionary algorithm-based search strategy with the integration of several machine learning and deep learning technique

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algo

Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working

This book provides an introduction to concurrent, real-time, distributed programming with Java object-oriented language support as an algorithm description tool. It describes in particular the mechani