Libros de Matemáticas para computación, página 3 de 9

An Introduction to SOLIDWORKS Flow Simulation 2024 takes you through the steps of creating the SOLIDWORKS part for the simulation followed by the setup and calculation of the SOLIDWORKS Flow Simulation project. The results from calculations are visualized and compared with theoretical solutions and empirical data. Each chapter starts with the objectives and a description of the specific problems that are studied. End of chapter exercises are included for reinforcement and practice of what has been learned. The eighteen chapters of this book are directed towards first-time to intermediate level users of SOLIDWORKS Flow Simulation. It is intended to be a supplement to undergraduate Fluid Mechanics and Heat Transfer related courses. This book can also be used to show students the capabilities of fluid flow and heat transfer simulations in freshman and sophomore courses such as Introduction to Engineering. Both internal and external flow problems are covered and compared with experimental results and analytical solutions. Covered topics include airfoil flow, boundary layers, compressible flow, flow meters, heat exchanger, natural and forced convection, pipe flow, rotating flow, tube bank flow and valve flow. Covers these features of SOLIDWORKS Flow Simulation 2024:

Developing many of the major, exciting, pre- and post-millennium developments from the ground up, this book is an ideal entry point for graduate students into quantum information theory. Significant attention is given to quantum mechanics for quantum information theory, and careful studies of the important protocols of teleportation, superdense coding, and entanglement distribution are presented. In this new edition, readers can expect to find over 100 pages of new material, including detailed discussions of Bell's theorem, the CHSH game, Tsirelson's theorem, the axiomatic approach to quantum channels, the definition of the diamond norm and its interpretation, and a proof of the ChoiKraus theorem. Discussion of the importance of the quantum dynamic capacity formula has been completely revised, and many new exercises and references have been added. This new edition will be welcomed by the upcoming generation of quantum information theorists and the already established community of classical information theorists.

This largely self-contained book on the theory of quantum information focuses on precise mathematical formulations and proofs of fundamental facts that form the foundation of the subject. It is intended for graduate students and researchers in mathematics, computer science, and theoretical physics seeking to develop a thorough understanding of key results, proof techniques, and methodologies that are relevant to a wide range of research topics within the theory of quantum information and computation. The book is accessible to readers with an understanding of basic mathematics, including linear algebra, mathematical analysis, and probability theory. An introductory chapter summarizes these necessary mathematical prerequisites, and starting from this foundation, the book includes clear and complete proofs of all results it presents. Each subsequent chapter includes challenging exercises intended to help readers to develop their own skills for discovering proofs concerning the theory of quantum information.

La obra presenta un estudio detallado y sistemático del diseño y análisis de algoritmos. El objetivo de este libro es proporcionar al lector las herramientas básicas que necesitará para desarrollar sus propios algoritmos, cualquiera que sea su campo de aplicación. Se desarrollan las técnicas fundamentales que se utilizan para diseñar y analizar algoritmos eficientes y se ilustran mediante ejemplos concretos de algoritmos tomados de aplicaciones, tales como: la optimización, el álgebra lineal, la criptografía, la teoría computacional de números, la teoría de grafos, la investigación operativa, la inteligencia artificial y otras.

Este libro enseña al lector a utilizar como un laboratorio en el que resolver sofisticadas cuestiones científicas o problemas prácticos. A través de sus páginas, el estudiante conocerá los métodos básicos de cálculo numérico y aprenderá a aplicar eficientemente sus técnicas.

Este cuaderno está estructurado en cuatro prácticas: Integración múltiple: integral de línea e integración múltiple; Ecuaciones diferenciales; Sistemas de ecuaciones diferencias y Transforma de Lapla

El libro pretende ayudar a los formadores de los niveles primario y secundario a adentrarse en el campo de los métodos de optimización proporcionándole los elementos necesarios para desarrollar por si mismo estos temas a un nivel adecuado al bachillerato. Igualmente se dirige a todos aquellos que deseen tener un conocimiento un poco mas amplio que el adquirido a lo largo de su carrera en los temas relacionados con los modelos de optimizacion.

Este texto incluye las tendencias más recientes en informática, en particular una exposición completa del razonamiento lógico, cómo usar la matemática discreta para especificar nuevas aplicaciones y la forma de razonar de forma sistemática acerca de los programas. La obra contiene más de 300 ejemplos que relacionan los conceptos matemáticos con temas de computación, así como 550 problemas.