01617nam0 2200277 i 450 SUN007730820090209120000.020090209d1756 |0latc50 balatCH||||||||| |||||||||D. D. Bartholomaei Caepollae Tractatus de servitutibus, tam urbanorum, quam rusticorum Praediorum. Accedunt d. Martini Laud. et Jo. Superioris commentarii ad leges singulas de servitutibus: item Antonii Matthaei Disputationes 7. de Servitutibus; et huic Editioni, quae in hactenus Editis non habentur Gottliebi Gerhardi Titii ..Lausannae & Genevae : Sumpt. Marci-Michaelis Bousquet & Socior, 1756[8]671, [1] p. ; 4ºFregio xil. sul front. in rosso e nero. - Segn.: a4 A-4P4. - Bianca la p. 4P4. - Iniz. e fregi xil. - Biblioteca Lauria.LosannaSUNL000298GinevraSUNL001017Cipolla, BartolomeoSUNV053388235469Thomasius, Christian1655-1728SUNV029052Titius, Gottlieb GerhardSUNV053389Mattei, AntonioSUNV053390Bousquet, Marc Michel & C.SUNV053391ITSOL20170928RICASUN0077308D. D. Bartholomaei Caepollae Tractatus de servitutibus, tam urbanorum, quam rusticorum Praediorum. Accedunt d. Martini Laud. et Jo. Superioris commentarii ad leges singulas de servitutibus: item Antonii Matthaei Disputationes 7. de Servitutibus; et huic Editioni, quae in hactenus Editis non habentur Gottliebi Gerhardi Titii .1420507UNICAMPANIA01867nam 2200457 450 991079307920332120200520144314.01-4232-2048-X(CKB)3710000001404172(MiAaPQ)EBC4877106(Au-PeEL)EBL4877106(CaPaEBR)ebr11397751(OCoLC)990406991(BIP)040407127(EXLCZ)99371000000140417220190124d2013 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierThe spine[Place of publication not identified] :BarCharts, Inc.,[2013]1 online resource (6 pages)Quick Study Academic1-4232-2023-4 The Spine guide is one of BarCharts' newest additions to the QuickStudy® line of anatomy guides, posters, and flash cards. In our handy, fold-out format, you will find the anatomy of the human vertebral column and its supporting structures beautifully and intricately illustrated by accomplished anatomical artist Vincent Perez. Thorough coverage includes multiple views of the vertebral column, as well as muscles, joints, and nerves, with labels for reference. From teachers and students of anatomy, to medical professionals and therapists, this guide is perfect for your medical study or practice. It's also a perfect and portable complement to our new poster, The Spine!QuickStudy academic.SpineOutlines, syllabi, etcSPINEMEDICALSpine611.711Perez Vincent1477660MiAaPQMiAaPQMiAaPQBOOK9910793079203321The spine3813661UNINA05068nam 2200673 450 991082195110332120200520144314.01-78328-300-9(CKB)2670000000569439(EBL)1800642(SSID)ssj0001374666(PQKBManifestationID)11746093(PQKBTitleCode)TC0001374666(PQKBWorkID)11326402(PQKB)11571355(MiAaPQ)EBC1800642(Au-PeEL)EBL1800642(CaPaEBR)ebr10944915(CaONFJC)MIL647864(OCoLC)892044300(PPN)227997832(EXLCZ)99267000000056943920141014h20142014 uy 0engur|n|---|||||txtccrMathematica data visualization create and prototype interactive data visualizations using Mathematica /Nazmus SaquibBirmingham, [England] :Packt Publishing,2014.©20141 online resource (146 p.)Community Experience DistilledIncludes index.1-322-16607-2 1-78328-299-1 Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Visualization as a Tool to Understand Data; The importance of visualization; Types of datasets; Tables; Scalar fields; Time series; Graphs; Text; Cartographic data; Mathematica as a tool for visualization; Getting started with Mathematica; Creating and selecting cells; Evaluating a cell; Suppressing output from a cell; Cell formatting; Commenting; Aborting evaluation; Upcoming chapters; Further reading; Summary; Chapter 2: Dissecting Data Using MathematicaData structures and core languagesIntroducing lists; Nested lists; Matrices; Constructing lists programmatically; Accessing elements from a list; Applying set operations on lists; Functions and conditionals; Declaring and using functions; Conditionals; Further core language; Data importing and basic plots; Importing data into Mathematica; SetDirectory[] and NotebookDirectory[]; Loading the dataset; Basic plotting functions; ListPlot; Styling our plots; Plot legends; 3D point plots; Log plots; Further reading; Summary; Chapter 3: Time Series and Scientific VisualizationPeriodic patterns in time seriesSector charts; Simulating Internet activity; SectorChart and its options; Interactive visualization of financial data; The DateListPlot function; Adding interactivity - preliminaries; Intermission - Graphics and Show; Adding interactivity - Dynamic and Refresh; Isocontour and molecular visualization; Introduction to isocontours; Example project - protein molecule visualization; Loading and visualizing the protein molecule; Preparing the isocontour plots; Adding interactivity - manipulate; Isosurface and stylingThinking like a visualization scientist - isovalue analysisFurther reading; Summary; Chapter 4: Statistical and Information Visualization; Statistical visualization; The swiss bank notes dataset; Histograms and charts; Histogram; PairedHistogram; Histogram3D; PieChart; BubbleChart; Choosing appropriate plots; A glimpse of high-dimensional data; Similarity maps; Projecting information to low dimensions; Visualizing genuine and counterfeit clusters; Similarity map for smaller datasets; Things that can (and will) go wrong; Text visualization; A modified word cloud; Cleaning the dataThe basic algorithmCode and explanation; Graphs and networks; A basic graph visualization; Representing graphs in Mathematica; Visualizing the Les Misérables network; Highlighting centrality measures; Other graph layouts; 3D layouts; Chord diagrams; Code and explanation; Tweaking the visualization; Further reading; Summary; Chapter 5: Maps and Aesthetics; Map visualization; The GeoGraphics package; A map of our current location; Plotting a path on the map; Interactivity in GeoGraphics; Anatomy of a map visualization engine; The visual interface; Code and explanationAesthetics in visualizationIf you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, you will become a visualization expert, in a short time, using Mathematica.Community experience distilled.Mathematica (Computer program language)Mathematica (Computer file)MathematicsData processingMathematica (Computer program language)Mathematica (Computer file)MathematicsData processing.510.28553Saquib Nazmus1651682MiAaPQMiAaPQMiAaPQBOOK9910821951103321Mathematica data visualization4001781UNINA