Digital Technologies in Designing Mathematics Education by Allen Leung,Anna Baccaglini-Frank

By Allen Leung,Anna Baccaglini-Frank

This e-book is ready the function and capability of utilizing electronic know-how in designing instructing and studying initiatives within the arithmetic school room. electronic expertise has unfolded diverse new academic areas for the math lecture room long ago few many years and, as expertise is consistently evolving, novel rules and methods are brewing to counterpoint those areas with assorted didactical flavors. A key factor is usually how know-how can, or can't, play epistemic and pedagogic roles within the arithmetic lecture room. the most goal of this ebook is to discover arithmetic activity layout whilst electronic know-how is a part of the instructing and studying surroundings. What positive factors of the know-how used should be capitalized upon to layout initiatives that rework newcomers’ experiential wisdom, received from utilizing the know-how, into conceptual mathematical wisdom? while do electronic environments really carry a vital (educationally, talking) new size to lecture room actions? What are a few pragmatic and semiotic values of the expertise used? those are a few of the matters addressed within the booklet via specialist students during this zone of study in arithmetic schooling. This quantity is the 1st committed solely to concerns on designing mathematical initiatives in electronic educating and studying environments, outlining assorted present learn scenarios. 

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COMPSTAT 2004 - Proceedings in Computational Statistics: by Jaromir Antoch

By Jaromir Antoch

Statistical computing offers the hyperlink among statistical thought and utilized information. The content material of the publication covers all elements of this hyperlink, from the improvement and implementation of latest statistical rules to person reports and software program assessment. The lawsuits may still entice somebody operating in data and utilizing pcs, no matter if in universities, business businesses, executive enterprises, study institutes or as software program developers

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Economic Modeling Using Artificial Intelligence Methods by Tshilidzi Marwala

By Tshilidzi Marwala

Economic Modeling utilizing man made Intelligence Methods examines the applying of synthetic intelligence how to version monetary facts. ordinarily, financial modeling has been modeled within the linear area the place the foundations of superposition are legitimate. the appliance of synthetic intelligence for financial modeling makes it possible for a versatile multi-order non-linear modeling. additionally, video game thought has principally been utilized in fiscal modeling. notwithstanding, the inherent drawback of online game conception whilst facing many participant video games encourages using multi-agent platforms for modeling monetary phenomena.

The man made intelligence concepts used to version fiscal info include:

  • multi-layer perceptron neural networks
  • radial foundation functions
  • support vector machines
  • rough sets
  • genetic algorithm
  • particle swarm optimization
  • simulated annealing
  • multi-agent system
  • incremental learning
  • fuzzy networks

Signal processing thoughts are explored to investigate fiscal facts, and those thoughts are the time area tools, time-frequency area equipment and fractals measurement techniques. fascinating financial difficulties corresponding to causality as opposed to correlation, simulating the inventory industry, modeling and controling inflation, choice pricing, modeling monetary development in addition to portfolio optimization are tested. the connection among monetary dependency and interstate clash is explored, and data on how economics turns out to be useful to foster peace – and vice versa – is investigated. fiscal Modeling utilizing synthetic Intelligence tools bargains with the problem of causality within the non-linear area and applies the automated relevance decision, the facts framework, Bayesian technique and Granger causality to appreciate causality and correlation.

Economic Modeling utilizing man made Intelligence equipment makes an incredible contribution to the world of econometrics, and is a worthwhile resource of reference for graduate scholars, researchers and monetary practitioners.

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Visualizing Mathematics with 3D Printing by Henry Segerman

By Henry Segerman

Wouldn’t or not it's nice to event three-d principles in 3 dimensions? during this book—the first of its kind—mathematician and mathematical artist Henry Segerman takes readers on a desirable travel of two-, three-, and 4-dimensional arithmetic, exploring Euclidean and non-Euclidean geometries, symmetry, knots, tilings, and cleaning soap motion pictures. Visualizing arithmetic with 3D Printing contains greater than a hundred colour pictures of 3D published versions. Readers can take the book’s insights to a brand new point by way of traveling its sister web site,, which good points digital three-d types of the versions for readers to discover. those versions is also ordered on-line or downloaded to print on a 3D printer.

Combining the strengths of booklet and site, this quantity pulls larger geometry and topology out of the world of the summary and places it into the fingers of a person serious about mathematical relationships of form. With the publication in a single hand and a 3D published version within the different, readers can locate deeper which means whereas protecting a hyperbolic honeycomb, touching the twists of a torus knot, or caressing the curves of a Klein quartic.

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Mastering Python Scientific Computing by Hemant Kumar Mehta

By Hemant Kumar Mehta

A entire consultant for Python programmers to grasp clinical computing utilizing Python APIs and tools

About This Book

  • The fundamentals of clinical computing to complicated ideas concerning parallel and big scale computation are all covered.
  • Most of the Python APIs and instruments utilized in clinical computing are mentioned in detail
  • The options are mentioned with appropriate instance programs

Who This booklet Is For

If you're a Python programmer and wish to search out medical computing, this e-book is for you. The ebook expects you to have had publicity to numerous thoughts of Python programming.

What you are going to Learn

  • Fundamentals and parts of clinical computing
  • Scientific computing information management
  • Performing numerical computing utilizing NumPy and SciPy
  • Concepts and programming for symbolic computing utilizing SymPy
  • Using the plotting library matplotlib for info visualization
  • Data research and visualization utilizing Pandas, matplotlib, and IPython
  • Performing parallel and excessive functionality computing
  • Real-life case reviews and most sensible practices of medical computing

In Detail

In ultra-modern global, besides theoretical and experimental paintings, medical computing has turn into a tremendous a part of medical disciplines. Numerical calculations, simulations and machine modeling at the present time shape the majority of either experimental and theoretical papers. within the medical approach, replication and reproducibility are very important contributing elements. a whole and urban medical end result will be reproducible and replicable. Python is appropriate for clinical computing. a wide neighborhood of clients, lots of support and documentation, a wide number of medical libraries and environments, nice functionality, and strong help makes Python a superb selection for medical computing.

At current Python is one of the most sensible offerings for constructing clinical workflow and the ebook goals latest Python builders to grasp this area utilizing Python. the most issues to benefit within the booklet are the concept that of medical workflow, dealing with medical workflow information and appearing computation in this info utilizing Python.

The booklet discusses NumPy, SciPy, SymPy, matplotlib, Pandas and IPython with a number of instance programs.

Style and approach

This booklet follows a hands-on method of clarify the complicated suggestions with regards to medical computing. It info quite a few APIs utilizing acceptable examples.

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Quantum Computing: From Linear Algebra to Physical by Mikio Nakahara,Tetsuo Ohmi

By Mikio Nakahara,Tetsuo Ohmi

overlaying either thought and revolutionary experiments, Quantum Computing: From Linear Algebra to actual Realizations explains how and why superposition and entanglement give you the huge, immense computational energy in quantum computing. This self-contained, classroom-tested booklet is split into sections, with the 1st dedicated to the theoretical elements of quantum computing and the second one interested in a number of applicants of a operating quantum computing device, comparing them based on the DiVincenzo standards.

Topics partly I

  • Linear algebra

  • Principles of quantum mechanics

  • Qubit and the 1st software of quantum info processing—quantum key distribution

  • Quantum gates

  • Simple but elucidating examples of quantum algorithms

  • Quantum circuits that enforce critical transforms

  • Practical quantum algorithms, together with Grover’s database seek set of rules and Shor’s factorization set of rules

  • The irritating factor of decoherence

  • Important examples of quantum error-correcting codes (QECC)

Topics partially II

  • DiVincenzo standards, that are the factors a actual process needs to fulfill to be a candidate as a operating quantum computer

  • Liquid country NMR, one of many well-understood actual systems

  • Ionic and atomic qubits

  • Several forms of Josephson junction qubits

  • The quantum dots consciousness of qubits

Looking on the ways that quantum computing can develop into fact, this ebook delves into adequate theoretical heritage and experimental examine to aid an intensive knowing of this promising field.

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Using SAS for Data Management, Statistical Analysis, and by Ken Kleinman,Nicholas J. Horton

By Ken Kleinman,Nicholas J. Horton

Quick and simple entry to Key parts of Documentation
Includes labored examples throughout a wide selection of functions, projects, and graphics

A particular better half for statistical coders, Using SAS for facts administration, Statistical research, and Graphics provides an ideal way to benefit find out how to practice an analytical job in SAS, with no need to navigate in the course of the huge, idiosyncratic, and occasionally unwieldy software program documentation. prepared via brief, transparent descriptive entries, the ebook covers many universal initiatives, corresponding to information administration, descriptive summaries, inferential strategies, regression research, multivariate tools, and the production of photos.

Through the vast indexing, cross-referencing, and labored examples during this textual content, clients can without delay locate and enforce the cloth they wish. The textual content contains handy indices geared up by way of subject and SAS syntax. Demonstrating the SAS code in motion and facilitating exploration, the authors current instance analyses that hire a unmarried facts set from the assistance examine. in addition they offer a number of case experiences of extra complicated purposes. info units and code can be found for obtain at the book’s web site.

Helping to enhance your analytical abilities, this publication lucidly summarizes the gains of SAS more often than not utilized by statistical analysts. New clients of SAS will locate the easy method effortless to appreciate whereas extra specialist SAS programmers will enjoy the beneficial resource of task-oriented information.

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En este libro se trata una amplia tipología de modelos econométricos avanzados, entre los que destacan los modelos dinámicos, los modelos de ecuaciones simultáneas, los modelos no lineales, los modelos multivariantes de sequence temporales, los modelos con datos de panel y l. a. teoría de raíces unitarias y modelos cointegrados.

En cuanto a los modelos dinámicos, destacan los modelos con retardos distribuidos, los modelos con regresores estocásticos, los modelos con cambio estructural y los modelos dinámicos con datos de panel. Se trata ampliamente los angeles teoría de las raíces unitarias, los angeles cointegración y los modelos de corrección del errors.

Los modelos econométricos multiecuacionales se caracterizan por los angeles presencia de varias ecuaciones para estimar simultáneamente. Se trata por tanto de una generalización de los modelos uniecuacionales al campo de los sistemas de ecuaciones. En este libro se tratan los modelos lineales multieciacionales en ecuaciones simultáneas, incorporándose l. a. teoría de l. a. identificación de modelos y las técnicas avanzadas de estimación (MCI, MC2E, MC3E, RANR, SUR, etc.).

A continuación se abordan los modelos multivariantes de sequence temporales (VAR, VARX, VARMA, BVAR, VEC, etc.) tratándose los angeles teoría de los angeles cointegración desde l. a. óptica multiecuacional.

Asimismo, se tratan en profundidad los modelos econométruicos con datos de panel, tanto estáticos como dinámicos, contemplando a su vez los modelos estáticos y dinámico así como l. a. teoría de las raíces unitarias y los angeles cointegración en paneles.

Finalmente, se se profundiza en los modelos uniecuacionales y multiecuacionales no lineales y los modelos de regresión particionada y segmentada.

Todo el desarrollo de ejercicios prácticos se realiza utilizando el software program EVIEWS, uno de los más genuine del mercado adecuado para estas tareas econométricas no triviales.

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Understanding Political Science Statistics using SPSS: A by Peter Galderisi

By Peter Galderisi

This guide walks scholars throughout the systems for research in SPSS and offers workouts that cross hand-in-hand with on-line information units. The handbook enhances the textbook figuring out Political technological know-how data: Observations and expectancies in Political research, by means of Peter Galderisi, making it effortless to exploit along the booklet in a path or as a stand-alone consultant to utilizing SPSS. Galderisi demonstrates the best way to use either syntax and GUI pushed codecs and indicates pattern result of the analyses. jam-packed with annotated screenshots from SPSS model 22 (but suitable with all types, together with the scholar version), the scholars can be guided via average strategies replete with examples and workouts to prepared them for destiny paintings in political technological know-how examine. the various workforce of information units supplied contain subsamples of either the 2008 and 2012 American nationwide Election experiences, a Eurobarometer survey, unmarried yr and longitudinal congressional district records, the 2012 Comparative Congressional Election learn info set, and a comparative, crossnational nation dossier. types with decreased case numbers and variables also are incorporated which are appropriate with the scholar version.This guide (and a parallel Stata handbook) can be found as stand-alone items or packaged with the textbook figuring out Political technology Statistics.

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Introduction to Data Science: A Python Approach to Concepts, by Laura Igual,Santi Seguí,Jordi Vitrià,Eloi Puertas,Petia

By Laura Igual,Santi Seguí,Jordi Vitrià,Eloi Puertas,Petia Radeva,Oriol Pujol,Sergio Escalera,Francesc Dantí,Lluís Garrido

This available and classroom-tested textbook/reference offers an creation to the basics of the rising and interdisciplinary box of information technological know-how. The insurance spans key recommendations followed from facts and laptop studying, helpful innovations for graph research and parallel programming, and the sensible software of knowledge technology for such projects as construction recommender structures or appearing sentiment research. issues and contours: offers a number of functional case experiences utilizing real-world info in the course of the booklet; helps realizing via hands-on event of fixing information technology difficulties utilizing Python; describes strategies and instruments for statistical research, desktop studying, graph research, and parallel programming; reports a number purposes of information technology, together with recommender platforms and sentiment research of textual content facts; offers supplementary code assets and information at an linked website.

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