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Programa de matemáticas: Libro de práctica (Grade 1) (ORIGO Stepping Stones)
by James Burnett Calvin Irons Peter StowasserNIMAC-sourced textbook
Programa de matemáticas [Grade 1], Libro del alumno: Libro del alumno (Grade 1) (ORIGO Stepping Stones)
by James Burnett Calvin Irons Peter StowasserNIMAC-sourced textbook
Programmieren für Ingenieure und Naturwissenschaftler
by Sebastian DörnZiel des Buches ist es, Studierenden der Ingenieur- oder Naturwissenschaften die Programmierung als Schlüsselqualifikation mit zahlreichen Anwendungsmöglichkeiten vorzustellen. Großer Wert wird auf eine praxisorientierte und verständliche Darstellung gelegt. Der Autor behandelt die Anwendungsbereiche des Operations Research, der Medizinischen Informatik und der Automatisierungstechnik. Neben der Darstellung objektorientierter Entwurfsmuster werden zentrale Programmierkonzepte und fortgeschrittene Datenstrukturen vorgestellt. Suchalgorithmen, Graphen, Automaten und reguläre Sprachen werden dem Leser praxisnah vermittelt. Die Grundlagen zur Bildverarbeitung im Bereich der Bildfilterung, Registrierung und Segmentierung runden das Buch ab.
Programmieren für Ingenieure und Naturwissenschaftler: Intelligente Algorithmen und digitale Technologien (eXamen.press)
by Sebastian DörnZiel des Buches ist es, Ingenieuren oder Naturwissenschaftlern die Programmierung als Schlüsselqualifikation mit zahlreichen Anwendungsmöglichkeiten vorzustellen. Der Autor erläutert algorithmische Methoden, die heute hinter digitalen Produkten und Dienstleistungen stehen. Zentrale Anwendungen sind die Künstliche Intelligenz, das Data Mining, die Predictive Analytics, die Industrie 4.0 oder das Internet der Dinge. Die digitale Datenanalyse mit den zugehörigen Algorithmen ist die zentrale Grundlage vieler neuer IT-Technologien. Hierzu werden große Datenmengen verschiedenster Anwendungsfelder verarbeitet und auf gewisse Muster analysiert, um die relevanten Informationen zu extrahieren. Diese sogenannten intelligenten Verfahren sind die Basis für nahezu alle Innovationen in unserer digitalisierten Welt. Mit Hilfe dieser Art der Informationsverarbeitung werden durch die Kombination von mathematischen Modellen und algorithmischen Verfahren neue digitale Geschäftsmodelle erschaffen.
Programmieren für Ingenieure und Naturwissenschaftler: Grundlagen (eXamen.press)
by Sebastian DörnZiel des Buches ist es, Studierenden der Ingenieur- oder Naturwissenschaften die Programmierung als Schlüsselqualifikation mit zahlreichen Anwendungsmöglichkeiten vorzustellen. Die Umsetzung von Programmierkonzepten und algorithmischen Verfahren erfolgt in diesem Buch in Java. Im ersten Teil gibt der Autor eine Einführung in die Grundkonzepte von Java, im zweiten Teil werden algorithmische Verfahren aus dem Bereich der Numerik, sowie allgemeine Methoden zum Entwurf von Algorithmen vorgestellt. Im dritten Teil werden Grundlagen der objektorientierten Programmierung dargestellt sowie ein Überblick über die Erstellung von graphischen Benutzeroberflächen gegeben. Ein Kapitel zu diversen Anwendungen aus dem Bereich der Ingenieur- und Naturwissenschaften sowie Aufgaben und Lösungen in jedem Kapitel runden das Buch ab.
Programming Behavioral Experiments with MATLAB and Psychtoolbox: 9 Simple Steps for Students and Researchers
by Erman MisirlisoyHuman behavior is fascinating so it’s no surprise that psychologists and neuroscientists spend their lives designing rigorous experiments to understand it. MATLAB is one of the most widely used pieces of software for designing and running behavioral experiments, and it opens up a world of quick and flexible experiment programming. This book offers a step-by-step guide to using MATLAB with Psychtoolbox to create customisable experiments. Its pocket size and simple language allow you to get straight to the point and help you to learn fast in order to complete your work in great time. In nine simple steps, it guides you all the way from setting parameters for your experiment to analysing the output. Gone are the daunting days of working through hundreds of irrelevant and complicated documents, as in this handy book, Erman Misirlisoy coaxes you in the right direction with his friendly and encouraging tricks and tips. If you want to learn how to develop your own experiments to collect and analyse behavioral data, then this book is a must-read. Whether you are a student in experimental psychology, a researcher in cognitive neuroscience, or simply someone who wants to run behavioral tasks on your friends for fun, this book will offer you the skills to succeed.
Programming for Computations - MATLAB/Octave
by Svein Linge Hans Petter LangtangenThis book presentscomputer programming as a keymethod for solving mathematical problems. There are two versions of the book,one for MATLAB and onefor Python. The book wasinspired by the Springer bookTCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible andconcise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set ofskills that allows the students to write simple programs for solving commonmathematical problems withnumerical methods in engineering and science courses. The emphasis is on generic algorithms, cleandesign of programs, use of functions, and automatic tests for verification.
Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6 (Texts in Computational Science and Engineering #15)
by Svein Linge Hans Petter LangtangenThis book is published open access under a CC BY 4.0 license. This book presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five new chapters, thus expanding the introduction to programming from 50 to 150 pages. Throughout the book, the explanations provided are now more detailed, previous examples have been modified, and new sections, examples and exercises have been added. Also, a number of small errors have been corrected. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style employed is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows students to write simple programs for solving common mathematical problems with numerical methods in the context of engineering and science courses. The emphasis is on generic algorithms, clean program design, the use of functions, and automatic tests for verification.
Programming for Hybrid Multi/Manycore MPP Systems (Chapman & Hall/CRC Computational Science)
by John Levesque Aaron Vose"Ask not what your compiler can do for you, ask what you can do for your compiler."--John Levesque, Director of Cray’s Supercomputing Centers of Excellence <P><P>The next decade of computationally intense computing lies with more powerful multi/manycore nodes where processors share a large memory space. These nodes will be the building block for systems that range from a single node workstation up to systems approaching the exaflop regime. The node itself will consist of 10’s to 100’s of MIMD (multiple instruction, multiple data) processing units with SIMD (single instruction, multiple data) parallel instructions. Since a standard, affordable memory architecture will not be able to supply the bandwidth required by these cores, new memory organizations will be introduced. These new node architectures will represent a significant challenge to application developers. <P><P>Programming for Hybrid Multi/Manycore MPP Systems attempts to briefly describe the current state-of-the-art in programming these systems, and proposes an approach for developing a performance-portable application that can effectively utilize all of these systems from a single application. The book starts with a strategy for optimizing an application for multi/manycore architectures. It then looks at the three typical architectures, covering their advantages and disadvantages. <P><P>The next section of the book explores the other important component of the target—the compiler. The compiler will ultimately convert the input language to executable code on the target, and the book explores how to make the compiler do what we want. The book then talks about gathering runtime statistics from running the application on the important problem sets previously discussed. <P><P>How best to utilize available memory bandwidth and virtualization is covered next, along with hybridization of a program. The last part of the book includes several major applications, and examines future hardware advancements and how the application developer may prepare for those advancements.
Programming Graphical User Interfaces in R (Chapman & Hall/CRC The R Series #5)
by Michael Lawrence John VerzaniProgramming Graphical User Interfaces with R introduces each of the major R packages for GUI programming: RGtk2, qtbase, Tcl/Tk, and gWidgets. With examples woven through the text as well as stand-alone demonstrations of simple yet reasonably complete applications, the book features topics especially relevant to statisticians who aim to provide a practical interface to functionality implemented in R. The book offers: A how-to guide for developing GUIs within R The fundamentals for users with limited knowledge of programming within R and other languages GUI design for specific functions or as learning tools The accompanying package, ProgGUIinR, includes the complete code for all examples as well as functions for browsing the examples from the respective chapters. Accessible to seasoned, novice, and occasional R users, this book shows that for many purposes, adding a graphical interface to one’s work is not terribly sophisticated or time consuming.
Programming in C++ for Engineering and Science
by Larry NyhoffDeveloped from the author's many years of teaching computing courses, Programming in C++ for Engineering and Science guides students in designing programs to solve real problems encountered in engineering and scientific applications. These problems include radioactive decay, pollution indexes, digital circuits, differential equations, Internet addr
Programming Language Explorations
by Ray Toal Rachel Rivera Alexander Schneider Eileen Choe<P><P><i>Advisory: Bookshare has learned that this book offers only partial accessibility. We have kept it in the collection because it is useful for some of our members. Benetech is actively working on projects to improve accessibility issues such as these.</i> <P><P> Programming Language Explorations is a tour of several modern programming languages in use today. The book teaches fundamental language concepts using a language-by-language approach. As each language is presented, the authors introduce new concepts as they appear, and revisit familiar ones, comparing their implementation with those from languages seen in prior chapters. The goal is to present and explain common theoretical concepts of language design and usage, illustrated in the context of practical language overviews. <P><P>Twelve languages have been carefully chosen to illustrate a wide range of programming styles and paradigms. The book introduces each language with a common trio of example programs, and continues with a brief tour of its basic elements, type system, functional forms, scoping rules, concurrency patterns, and sometimes, metaprogramming facilities. <P><P>Each language chapter ends with a summary, pointers to open source projects, references to materials for further study, and a collection of exercises, designed as further explorations. Following the twelve featured language chapters, the authors provide a brief tour of over two dozen additional languages, and a summary chapter bringing together many of the questions explored throughout the text. <P><P>Targeted to both professionals and advanced college undergraduates looking to expand the range of languages and programming patterns they can apply in their work and studies, the book pays attention to modern programming practice, covers cutting-edge languages and patterns, and provides many runnable examples, all of which can be found in an online GitHub repository. The exploration style places this book between a tutorial and a reference, with a focus on the concepts and practices underlying programming language design and usage. Instructors looking for material to supplement a programming languages or software engineering course may find the approach unconventional, but hopefully, a lot more fun.
Programming Language Explorations
by Ray Toal Sage Strieker Marco BerardiniProgramming Language Explorations helps its readers gain proficiency in programming language practice and theory by presenting both example-focused, chapter-length explorations of fourteen important programming languages and detailed discussions of the major concepts transcending multiple languages. A language-by-language approach is sandwiched between an introductory chapter that motivates and lays out the major concepts of the field and a final chapter that brings together all that was learned in the middle chapters into a coherent and organized view of the field.Each of the featured languages in the middle chapters is introduced with a common trio of example programs and followed by a tour of its basic language features and coverage of interesting aspects from its type system, functional forms, scoping rules, concurrency patterns, and metaprogramming facilities. These chapters are followed by a brief tour of over 40 additional languages designed to enhance the reader’s appreciation of the breadth of the programming language landscape and to motivate further study.Targeted to both professionals and advanced college undergraduates looking to expand the range of languages and programming patterns they can apply in their work and studies, the book pays attention to modern programming practices, keeps a focus on cutting-edge programming patterns, and provides many runnable examples, all of which are available in the book’s companion GitHub repository. The combination of conceptual overviews with exploratory example-focused coverage of individual programming languages provides its readers with the foundation for more effectively authoring programs, prompting AI programming assistants, and, perhaps most importantly, learning—and creating—new languages.
Programming Language Fundamentals by Example
by D.E. StevensonSurveying the major programming languages that have hallmarked the evolution of computing, Programming Language Fundamentals by Example provides an understanding of the many languages and notations used in computer science, the formal models used to design phases, and the foundations of languages including linguistics. This textbook guides students through the process of implementing a simple interpreter with case-based exercises, questions, and a semester-long project that encompasses all of the concepts and theories presented in the book into one concrete example. It covers also such topics as formal grammars, automata, denotational and axiomatic semantics, and rule-based presentation.
Programming Languages with Applications to Biology and Security
by Corrado Priami Gian-Luigi Ferrari Chiara BodeiThis Festschrift volume is published in honor of Pierpaolo Degano on the occasion of his 65th birthday and is the outcome of a colloquium held in Pisa, Italy, in June 2015. Pierpaolo Degano has worked on a large variety of topics including formal program semantics, concurrency theory, systems biology and security. The volume contains 22 refereed papers and one extended abstract, including personal memoirs and regular research papers by close collaborators and friends and a laudatio illustrating his distinguished career and his main scientific contributions. The papers deal with the main research topics explored by Pierpaolo Degano and those still under his investigation.
Programming Media Art Using Processing: A Beginner's Guide
by Margaret NobleProgramming Media Art Using Processing: A Beginner's Guide provides an entry-level exploration into visual design through computer programming using the open source and artist-friendly language, Processing. Used by hundreds of students, this learning system breaks lessons down into strategic steps towards fun and creative media art projects. This book provides a linear series of lessons with step-by-step examples that lead to beginning media art projects, including abstract designs, pixel landscapes, rollover animations, and simple video games. Computer programming can be overwhelming for the first-time learner, but this book makes the learning of code more digestible and fun through a full color, well-diagrammed, and deeply explained text presentation. Lessons are rhythmically broken down into digestible parts with code annotations and illustrations that help learners focus on the details one step at a time. The content is legible, flexible, and fun to work with because of its project-based nature. By following the lessons and producing the projects sequentially in this book, readers will develop the beginning foundational skills needed to understand computer programming basics across many languages and also explore the art of graphic design. Ultimately, this is a hands-on, practical guide.
Programming Microsoft® LINQ in Microsoft .NET Framework 4
by Marco Russo Paolo PialorsiDig into LINQ -- and transform the way you work with data. With LINQ, you can query data from a variety of sources -- including databases, objects, and XML files -- directly from Microsoft Visual Basic® or C#. Guided by data-access experts who've worked in depth with LINQ and the Microsoft development teams, you'll learn how .NET Framework 4 implements LINQ, and how to exploit it. Clear examples show you how to deliver your own data-access solutions faster and with leaner code. Discover how to: Use LINQ to query databases, object collections, arrays, XML, Microsoft Excel® files, and other sources Apply LINQ best practices to build data-enabled .NET applications and services Manipulate data in a relational database with ADO.NET Entity Framework or LINQ to SQL Read, write, and manage XML content more efficiently with LINQ to XML Extend LINQ to support additional data sources by creating custom operators and providers Examine other implementations, such as LINQ to SharePoint® Use LINQ within the data, business, and service layers of a distributed application Get code samples on the Web
Programming with MATLAB for Scientists: A Beginner’s Introduction
by Eugeniy E. Mikhailov<p>This book offers an introduction to the basics of MATLAB programming to scientists and engineers. The author leads with engaging examples to build a working knowledge, specifically geared to those with science and engineering backgrounds. The reader is empowered to model and simulate real systems, as well as present and analyze everyday data sets. In order to achieve those goals, the contents bypass excessive "under the hood" details, and instead gets right down to the essential, practical foundations for successful programming and modeling. Readers will benefit from the following features: <li>Teaches programming to scientists and engineers using a problem-based approach, leading with illustrative and interesting examples. <li>Emphasizes a hands-on approach, with "must know" information and minimal technical details. <li>Utilizes examples from science and engineering to showcase the application of learned concepts on real problems. <li>Showcases modeling of real systems, gradually advancing from simpler to more challenging problems. <li>Highlights the practical uses of data processing and analysis in everyday life.</li>
Programming with Python for Engineers
by Göktürk Üçoluk Sinan Kalkan Onur T. ŞehitoğluThis book introduces computing and programming with undergraduate engineering students in mind. It uses Python (Version 3) as the programming language, chosen for its simplicity, readability, wide applicability and large collection of libraries. After introducing engineering-related Python libraries, such as NumPy, Pandas, Matplotlib, Sci-kit, Programming with Python for Engineers shows how Python can be used to implement methods common in a wide spectrum of engineering-related problems drawn from (for example): design, control, decision-making, scheduling and planning. Important features of the book include the following: The book contains interactive content for illustration of important concepts, where the user can provide input and by clicking buttons, trace through the steps. Each chapter is also accessible as a Jupyter Notebook page and every code piece is executable. This allows the readers to run code examples in chapters immediately, to make changes and gain a better grasp of the concepts presented. The coverage of topics is complemented by illustrative examples and exercises. For instructors adopting the textbook, a solutions manual is provided at https://sites.google.com/springernature.com/extramaterial/lecturer-material.
Programming4Modeling: Codes in Modellen auf Basis von Java und UML
by Eric A. NyamsiDas Buch fokussiert auf objektorientierte Softwareentwicklung in Bezug auf das Konzept "Programming4Modeling" genannt "P4M". Es stellt zum einen die Analyse und Design für die Modellierung mit UML und zum anderen die Softwareentwicklung mit Java dar. Das Buch wirft folgende Fragen auf: Wie ist die Architektur eines Klassenmodells? Welche Codes ermöglichen eine effiziente Softwareentwicklung? Was sind die Schnittpunkte von Codes und Modellen?
Programs as Diagrams: From Categorical Computability to Computable Categories (Theory and Applications of Computability)
by Dusko PavlovicIt is not always clear what computer programs mean in the various languages in which they can be written, yet a picture can be worth 1000 words, a diagram 1000 instructions. In this unique textbook/reference, programs are drawn as string diagrams in the language of categories, which display a universal syntax of mathematics (Computer scientists use them to analyze the program semantics; programmers to display the syntax of computations). Here, the string-diagrammatic depictions of computations are construed as programs in a single-instruction programming language. Such programs as diagrams show how functions are packed in boxes and tied by strings. Readers familiar with categories will learn about the foundations of computability; readers familiar with computability gain access to category theory. Additionally, readers familiar with both are offered many opportunities to improve the approach. Topics and features: Delivers a ‘crash’ diagram-based course in theory of computationUses single-instruction diagrammatic programming languageOffers a practical introduction into categories and string diagrams as computational toolsReveals how computability is programmability, rather than an ‘ether’ permeating computers Provides a categorical model of intensional computation is unique up to isomorphismServes as a stepping stone into research of computable categories In addition to its early chapters introducing computability for beginners, this flexible textbook/resource also contains both middle chapters that expand for suitability to a graduate course as well as final chapters opening up new research. Dusko Pavlovic is a professor at the Department of Information and Computer Sciences at the University of Hawaii at Manoa, and by courtesy at the Department of Mathematics and the College of Engineering. He completed this book as an Excellence Professor at Radboud University in Nijmegen, The Netherlands.
Progress: Ten Reasons to Look Forward to the Future
by Johan NorbergA Book of the Year for The Economist and the Observer Our world seems to be collapsing. The daily news cycle reports the deterioration: divisive politics across the Western world, racism, poverty, war, inequality, hunger. While politicians, journalists and activists from all sides talk about the damage done, Johan Norberg offers an illuminating and heartening analysis of just how far we have come in tackling the greatest problems facing humanity. In the face of fear-mongering, darkness and division, the facts are unequivocal: the golden age is now.
Progress and Visions in Quantum Theory in View of Gravity: Bridging Foundations of Physics and Mathematics
by Felix Finster Johannes Kleiner Jürgen Tolksdorf Domenico GiuliniThis book focuses on a critical discussion of the status and prospects of current approaches in quantum mechanics and quantum field theory, in particular concerning gravity. It contains a carefully selected cross-section of lectures and discussions at the seventh conference “Progress and Visions in Quantum Theory in View of Gravity” which took place in fall 2018 at the Max Planck Institute for Mathematics in the Sciences in Leipzig.In contrast to usual proceeding volumes, instead of reporting on the most recent technical results, contributors were asked to discuss visions and new ideas in foundational physics, in particular concerning foundations of quantum field theory. A special focus has been put on the question of which physical principles of quantum (field) theory can be considered fundamental in view of gravity.The book is mainly addressed to mathematicians and physicists who are interested in fundamental questions of mathematical physics. It allows the reader to obtain a broad and up-to-date overview of a fascinating active research area.
Progress in Approximation Theory and Applicable Complex Analysis
by Narendra Kumar Govil Ram Mohapatra Mohammed A. Qazi Gerhard SchmeisserCurrent and historical research methods in approximation theory are presented in this book beginning with the 1800s and following the evolution of approximation theory via the refinement and extension of classical methods and ending with recent techniques and methodologies. Graduate students, postdocs, and researchers in mathematics, specifically those working in the theory of functions, approximation theory, geometric function theory, and optimization will find new insights as well as a guide to advanced topics. The chapters in this book are grouped into four themes; the first, polynomials (Chapters 1 -8), includes inequalities for polynomials and rational functions, orthogonal polynomials, and location of zeros. The second, inequalities and extremal problems are discussed in Chapters 9 -13. The third, approximation of functions, involves the approximants being polynomials, rational functions, and other types of functions and are covered in Chapters 14 -19. The last theme, quadrature, cubature and applications, comprises the final three chapters and includes an article coauthored by Rahman. This volume serves as a memorial volume to commemorate the distinguished career of Qazi Ibadur Rahman (1934-2013) of the Universit#65533; de Montr#65533;al. Rahman was considered by his peers as one of the prominent experts in analytic theory of polynomials and entire functions. The novelty of his work lies in his profound abilities and skills in applying techniques from other areas of mathematics, such as optimization theory and variational principles, to obtain final answers to countless open problems.
Progress in Cryptology – INDOCRYPT 2023: 24th International Conference on Cryptology in India, Goa, India, December 10–13, 2023, Proceedings, Part I (Lecture Notes in Computer Science #14459)
by Anupam Chattopadhyay Shivam Bhasin Stjepan Picek Chester RebeiroThe two-volume proceedings constitutes the refereed proceedings of the 24th International Conference on Progress in Cryptology, INDOCRYPT 2023, Goa, India, in December 2023. The 26 full papers were carefully reviewed and selected from 74 submissions. They are organized in topical sections as follows: Part One: Symmetric-key cryptography, Hash functions, Authenticated Encryption Modes; Elliptic curves, Zero-knowledge proof, Signatures; Attacks.Part Two: Secure computation, Algorithm hardness, Privacy; Post-quantum cryptography.