Linear Programming and Algorithms for Communication Networks

This book presents methods for the computational solution of some important problems of linear algebra: linear systems, linear least squares problems, eigenvalue problems, and linear programming probl

This book presents methods for the computational solution of some important problems of linear algebra: linear systems, linear least squares problems, eigenvalue problems, and linear programming probl

Derivatives Algorithms — Volume 1: Bones (Second Edition) is for practicing quants who already have some expertise in risk-neutral pricing and in programming, and want to build a reusable and extensib

Integer Algorithms in Cryptology and Information Assurance is a collection of the author's own innovative approaches in algorithms and protocols for secret and reliable communication. It concentrates

For courses in Java Programming. A fundamentals-first introduction to basic programming concepts andtechniques Introduction to Java Programming and Data Structures seamlessly integrates programming, data structures,and algorithms into one text. With a fundamentals-first approach, the textbuilds a strong foundation of basic programming concepts and techniques beforeteaching students object-oriented programming and advanced Java programming.Liang explains programming in a problem-driven way that focuses on problemsolving rather than syntax, illustrating basic concepts by example andproviding a large number of exercises with various levels of difficulty forstudents to practice.The 12th Edition is completely revised in everydetail to enhance clarity, presentation, content, examples, and exercises.

Convenient organization into four parts: technical background, wireless communication technology, wireless local and personal area networks, and mobile wireless networks and applications. Animations p

Communication networks and distributed system technologies are undergoing rapid advancements. The last few years have experienced a steep growth in research on different aspects in these areas. Even t

Elementary Linear Algebra: Applications Version, 12th Edition, gives an elementary treatment of linear algebra that is suitable for a first course for undergraduate students. The classic treatment of linear algebra presents the fundamentals in the clearest possible way, examining basic ideas by means of computational examples and geometrical interpretation. It proceeds from familiar concepts to the unfamiliar, from the concrete to the abstract. Readers consistently praise this outstanding text for its expository style and clarity of presentation. In this edition, a new section has been added to describe the applications of linear algebra in emerging fields such as data science, machine learning, climate science, geomatics, and biological modeling. New exercises have been added with special attention to the expanded early introduction to linear transformations and new examples have been added, where needed, to support the exercise sets. Calculus is not a prerequisite, but there are clea

Linear Algebra with Applications, Ninth Edition is designed for the introductory course in linear algebra for students within engineering, mathematics, business management, and physics. Updated to inc

For freshman/sophomore-level courses in Linear Algebra. This book provides an applied introduction to the basic ideas, computational techniques, and applications of linear algebra. The most applied of

Perfect for use in a lab or by individuals, PROGRAMMING IN MATLABR is designed to help anyone interested in electrical and computer engineering develop programming skills using MATLABR as the programm

●Practical applications include examples, over 500 homework problems, and computer problems.●Describes techniques to convert analog signals, the analysis of linear time-invariant discrete-time systems and signals in the time domain, and bilateral and unilateral z-transform methods.●Analyzes signals and systems in the frequency domain, the Fourier series and transform in continuous- and discrete-time signals, and the sampling and reconstruction of continuous-time signals.●Examines realizations of IIR and FIR systems and techniques to design digital filters.●Looks at sampling-rate conversion and applications to multirate digital signal processing.●Discusses linear prediction, optimum linear filters and single-channel adaptive filers based on the LMS and RLS algorithms.

This book is a customized version in Taiwan, and the content is extracted from Chapters 1 to 15 of the book "Introduction to Python Programming and Data Structures, Global Edition, 3rd edition".-- --For introductory courses in Python Programming.A fundamentals first approach to programming helps students create efficient, elegant code.Introduction to Python Programming and Data Structures introduces students to basic programming concepts using a fundamentals-first approach that prepares students to learn object-oriented programming and advanced Python programming. This approach presents programming concepts and techniques that include control statements, loops, functions, and arrays before designing custom classes. Students learn basic logic and programming concepts prior to moving into object-oriented and GUI programming. The content incorporates a wide variety of problems with various levels of difficulty and covers many application areas to engage and motivate students.For a list of

Hallmark FeaturesIntroduces the fundamental constructs of contemporary programming languages•Critical evaluation of existing and future programming languages gives students the necessary tools for evaluating on their own.•An in-depth discussion of programming language structures, presenting a formal method of describing syntax, and introducing approaches to lexical and syntax analysis prepare students for the study of compiler design.•Coverage of advanced object-oriented topics and languages is integrated throughout.Addresses the most up-to-date information in this field•New - New material on Swift, a contemporary programming language, is now part of several chapters.•New - Section on Delphi now included in Chapter 2.•New - Section on optional types is included in Chapter 6.•New and Updated - Content describing iterations in Python are part of Chapter 8.•Revised - To ensure the material remains relevant to students, sections on outdated languages (specifically Lua and Objective-C) have

*Extensive applications of linear algebra concepts to a variety of real-world situations are provided. Students learn how theories and concepts of linear algebra can help solve modern-day problems.*Abundant computer exercises—more extensive than any other linear algebra book available—help students visualize and discover linear algebra, and allow them to explore more realistic applications that are too computationally intensive to work out by hand. These exercises also give students experience in performing matrix computations.*Worked-out examples illustrate new concepts, making the material less abstract and helping students quickly build their understanding.*Two chapter tests for every chapter help students study for exams and get the practice they need to master the material.*A comprehensive MATLAB® appendix gives users all the information they need to use the latest version of MATLAB.

Based on the recommendations of the Linear Algebra Curriculum Study Group, this introduction to linear algebra offers a matrix-oriented approach with more emphasis on problem solving and applications.

Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, t

A successor to the first and second editions, this updated and revised book is a leading companion guide for students and engineers alike, specifically software engineers who design algorithms. While

The Boolean network (BN) is a mathematical model of genetic networks and other biological networks. Although extensive studies have been done on BNs from a viewpoint of complex systems, not so many st

●Introduces central topics, such as vector spaces, linear maps, linear dependence, and eigenvalues, early in the book with the aim of helping students transition from calculus to rigorous mathematics●

Two hundred solved exercises demonstrate Gaussian elimination for solving systems of linear equations, the summation and multiplication of matrices and vectors, computation of determinants with th

For college-level Computer Science courses in Python Basic Programming and Problem Solving in Python As one of the most widely used programming languages in the software industry, Python is desirable

"This book presents an overview of the foundations and the key ideas and results of linear and generalized linear models under one cover"--

This undergraduate textbook on Linear Algebra and n-Dimensional Geometry, in a self-teaching style, is invaluable for sophomore level undergraduates in mathematics, engineering, business, and the scie

This undergraduate textbook on Linear Algebra and n-Dimensional Geometry, in a self-teaching style, is invaluable for sophomore level undergraduates in mathematics, engineering, business, and the scie

This is a matrix-oriented approach to linear algebra that covers the traditional material of the courses generally known as “Linear Algebra I” and “Linear Algebra II” throughout North America, but it

This is a matrix-oriented approach to linear algebra that covers the traditional material of the courses generally known as “Linear Algebra I” and “Linear Algebra II” throughout North America, but it

Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduct

For undergraduate students in Computer Science and Computer Programming courses.Now in its Tenth Edition, Concepts of Programming Languages introduces students to the main constructs of contemporary p

This book delivers theoretical and practical knowledge of Genetic Algorithms (GA) for the purpose of practical applications. It provides a methodology for a GA-based search strategy with the integrati

In this book, we aim to collect the most recent advances in artificial intelligence techniques (i.e. neural networks, fuzzy systems, multi-agent systems, genetic algorithms, image analysis, clustering

C is a favored and widely used programming language, particularly within the fields of science and engineering. C Programming for Scientists and Engineers with Applications guides readers through the

The first five chapters in this collection survey fixed parameter algorithms for graph-modeled data clustering, the probabilistic distance clustering algorithm, analysis of regulatory and interaction

This expanded new edition presents a thorough and up-to-date introduction to the study of linear algebra Linear Algebra, Third Edition provides a unified introduction to linear algebra while reinf

Now in the Fourth Edition, Programming the World Wide Web provides a comprehensive introduction to the tools and skills required for both client- and server-side programming, teaching students how to

This large mathematical reference for scientists and engineers now contains over 3,200 linear partial differential equations and linear physics equations with solutions as well as exact asymptotic, ap

The State Of The Art Of Sensor Networks Written by an international team of recognized experts in sensor networks from prestigious organizations such as Motorola, Fujitsu, the Massachusetts Institute

For freshman/sophomore-level courses in Linear Algebra. This book provides an applied introduction to the basic ideas, computational techniques, and applications of linear algebra. The most applied o

Every student of mathematics needs a sound grounding in the techniques of linear algebra. It forms the basis of the study of linear equations, matrices, linear mappings, and differential equations, an

Learning basic logic and fundamental programming techniques are essential for new programmers to succeed. A distinctive fundamentals-first approach and clear, concise writing style characterize this u