LEADER 04180 am 2200769 n 450 001 9910353336103321 005 20150603 010 $a2-919448-24-2 024 7 $a10.4000/books.esb.698 035 $a(CKB)4100000009914050 035 $a(FrMaCLE)OB-esb-698 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/40414 035 $a(PPN)241290287 035 $a(EXLCZ)994100000009914050 100 $a20150617j|||||||| ||| 0 101 0 $apor 135 $auu||||||m|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDe Afonso X a Afonso XI $eEdição e estudo do texto castelhano dos reinados finais da 2ª redacção da Crónica de 1344 /$fMaria do Rosário Ferreira 210 $aParis $ce-Spania Books$d2015 330 $aA Crónica de 1344, da autoria de Pedro de Barcelos, filho natural do rei D. Dinis de Portugal, é uma das mais emblemáticas obras da cultura ibérica do século XIV, com larga fortuna em Portugal e em Castela ao longo dos séculos seguintes. Teve, porém, uma transmissão textual atribulada ? passando por uma reformulação por volta de 1400, seguida de uma abreviação e continuação pouco antes de 1460, além de sucessivas traduções para castelhano ? da qual resultou uma tradição manuscrita bilingue e lacunar onde não se conta nenhum testemunho português da crónica original. Estas circunstâncias tiveram consequências na difusão editorial do texto. Apesar de a obra ter sido objecto de duas edições críticas, a sua secção final, contemplando os reinados castelhanos de Afonso X a Afonso XI, permanece inédita. De facto, Lindley Cintra publicou, entre 1954 e 1990, o texto português da reformulação c. 1400, que termina em Fernando III; quanto a Diego Catalán, deu à estampa, em 1970, a secção inicial da crónica original, radicalmente alterada pela reformulação e que subsiste apenas em tradução castelhana. Desta forma, a secção da Crónica de 1344 posterior à morte de Fernando III, cujo texto integral se conserva também apenas em castelhano, continua confinada aos manuscritos. O presente trabalho vai dar a conhecer esse relato de um passado recente, que documenta uma visão privilegiada das relações entre os reinos peninsulares nesse conturbado período da história ibérica e constitui uma peça chave no complexo entrecruzamento de textos historiográficos medievais em galego-português e em castelhano. Investigação conduzida no quadro do projecto ?Pedro de Barcelos e a monarquia castelhano-leonesa: estudo e edição da secção final inédita da Crónica de 1344? (XPL/CPC-ELT/1300/2013), financiado pela FCT e pelo COMPET. 606 $aArts & Humanities 606 $aLiterature, Romance 606 $amonarquia castelhana 606 $aAfonso X 606 $aAfonso XI 606 $aCrónica de 1344 606 $aFernando IV 606 $ahistoriografía 606 $aSalado 606 $aSancho IV 606 $ahistoriographie 606 $aPedro de Barcelos 610 $aCrónica de 1344 610 $ahistoriografía 610 $aSalado 610 $amonarquia castelhana 610 $aSancho IV 610 $aFernando IV 610 $aAfonso XI 610 $aAfonso X 615 4$aArts & Humanities 615 4$aLiterature, Romance 615 4$amonarquia castelhana 615 4$aAfonso X 615 4$aAfonso XI 615 4$aCrónica de 1344 615 4$aFernando IV 615 4$ahistoriografía 615 4$aSalado 615 4$aSancho IV 615 4$ahistoriographie 615 4$aPedro de Barcelos 700 $aFerreira$b Maria do Rosário$01288558 701 $aGomes$b Maria Joana$01288554 701 $aGotérrez$b Ricardo Pichel$01288555 701 $aLaranjinha$b Ana Sofia$01288556 701 $aOliveira$b António Resende de$0678312 701 $aPichel Gotérrez$b Ricardo$01288557 701 $aFerreira$b Maria do Rosário$01288558 801 0$bFR-FrMaCLE 906 $aBOOK 912 $a9910353336103321 996 $aDe Afonso X a Afonso XI$93389659 997 $aUNINA LEADER 08087nam 2202041Ia 450 001 9910780863803321 005 20230120110110.0 010 $a1-282-45796-9 010 $a1-282-93606-9 010 $a9786612936067 010 $a9786612457968 010 $a1-4008-3387-6 024 7 $a10.1515/9781400833870 035 $a(CKB)2520000000006994 035 $a(EBL)485767 035 $a(OCoLC)638859365 035 $a(SSID)ssj0000457488 035 $a(PQKBManifestationID)11924193 035 $a(PQKBTitleCode)TC0000457488 035 $a(PQKBWorkID)10415122 035 $a(PQKB)10475185 035 $a(DE-B1597)446610 035 $a(OCoLC)979779564 035 $a(DE-B1597)9781400833870 035 $a(Au-PeEL)EBL485767 035 $a(CaPaEBR)ebr10364743 035 $a(CaONFJC)MIL293606 035 $a(Au-PeEL)EBL4968557 035 $a(CaONFJC)MIL245796 035 $a(OCoLC)1027190663 035 $a(MiAaPQ)EBC485767 035 $a(MiAaPQ)EBC4968557 035 $a(EXLCZ)992520000000006994 100 $a20090901d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aControl theoretic splines$b[electronic resource] $eoptimal control, statistics, and path planning /$fMagnus Egerstedt and Clyde Martin 205 $aCourse Book 210 $aPrinceton $cPrinceton University Press$dc2010 215 $a1 online resource (227 p.) 225 1 $aPrinceton series in applied mathematics 300 $aDescription based upon print version of record. 311 $a0-691-13296-8 320 $aIncludes bibliographical references and index. 327 $t Frontmatter -- $tContents -- $tPreface -- $tChapter One. Introduction -- $tChapter Two. Control Systems and Minimum Norm Problems -- $tChapter Three. Eight Fundamental Problems -- $tChapter Four. Smoothing Splines and Generalizations -- $tChapter Five. Approximations and Limiting Concepts -- $tChapter Six. Smoothing Splines with Continuous Data -- $tChapter Seven. Monotone Smoothing Splines -- $tChapter Eight. Smoothing Splines as Integral Filters -- $tChapter Nine. Optimal Transfer between Affine Varieties -- $tChapter Ten. Path Planning and Telemetry -- $tChapter Eleven. Node Selection -- $tBibliography -- $tIndex 330 $aSplines, both interpolatory and smoothing, have a long and rich history that has largely been application driven. This book unifies these constructions in a comprehensive and accessible way, drawing from the latest methods and applications to show how they arise naturally in the theory of linear control systems. Magnus Egerstedt and Clyde Martin are leading innovators in the use of control theoretic splines to bring together many diverse applications within a common framework. In this book, they begin with a series of problems ranging from path planning to statistics to approximation. Using the tools of optimization over vector spaces, Egerstedt and Martin demonstrate how all of these problems are part of the same general mathematical framework, and how they are all, to a certain degree, a consequence of the optimization problem of finding the shortest distance from a point to an affine subspace in a Hilbert space. They cover periodic splines, monotone splines, and splines with inequality constraints, and explain how any finite number of linear constraints can be added. This book reveals how the many natural connections between control theory, numerical analysis, and statistics can be used to generate powerful mathematical and analytical tools. This book is an excellent resource for students and professionals in control theory, robotics, engineering, computer graphics, econometrics, and any area that requires the construction of curves based on sets of raw data. 410 0$aPrinceton series in applied mathematics. 606 $aInterpolation 606 $aSmoothing (Numerical analysis) 606 $aSmoothing (Statistics) 606 $aCurve fitting 606 $aSplines 606 $aSpline theory 610 $aAccuracy and precision. 610 $aAffine space. 610 $aAffine variety. 610 $aAlgorithm. 610 $aApproximation. 610 $aArbitrarily large. 610 $aB-spline. 610 $aBanach space. 610 $aBernstein polynomial. 610 $aBifurcation theory. 610 $aBig O notation. 610 $aBirkhoff interpolation. 610 $aBoundary value problem. 610 $aBézier curve. 610 $aChaos theory. 610 $aComputation. 610 $aComputational problem. 610 $aCondition number. 610 $aConstrained optimization. 610 $aContinuous function (set theory). 610 $aContinuous function. 610 $aControl function (econometrics). 610 $aControl theory. 610 $aControllability. 610 $aConvex optimization. 610 $aConvolution. 610 $aCubic Hermite spline. 610 $aData set. 610 $aDerivative. 610 $aDifferentiable function. 610 $aDifferential equation. 610 $aDimension (vector space). 610 $aDirectional derivative. 610 $aDiscrete mathematics. 610 $aDynamic programming. 610 $aEquation. 610 $aEstimation. 610 $aFiltering problem (stochastic processes). 610 $aGaussian quadrature. 610 $aGradient descent. 610 $aGramian matrix. 610 $aGrowth curve (statistics). 610 $aHermite interpolation. 610 $aHermite polynomials. 610 $aHilbert projection theorem. 610 $aHilbert space. 610 $aInitial condition. 610 $aInitial value problem. 610 $aIntegral equation. 610 $aIterative method. 610 $aKarush?Kuhn?Tucker conditions. 610 $aKernel method. 610 $aLagrange polynomial. 610 $aLaw of large numbers. 610 $aLeast squares. 610 $aLinear algebra. 610 $aLinear combination. 610 $aLinear filter. 610 $aLinear map. 610 $aMathematical optimization. 610 $aMathematics. 610 $aMaxima and minima. 610 $aMonotonic function. 610 $aNonlinear programming. 610 $aNonlinear system. 610 $aNormal distribution. 610 $aNumerical analysis. 610 $aNumerical stability. 610 $aOptimal control. 610 $aOptimization problem. 610 $aOrdinary differential equation. 610 $aOrthogonal polynomials. 610 $aParameter. 610 $aPiecewise. 610 $aPointwise. 610 $aPolynomial interpolation. 610 $aPolynomial. 610 $aProbability distribution. 610 $aQuadratic programming. 610 $aRandom variable. 610 $aRate of convergence. 610 $aRatio test. 610 $aRiccati equation. 610 $aSimpson's rule. 610 $aSimultaneous equations. 610 $aSmoothing spline. 610 $aSmoothing. 610 $aSmoothness. 610 $aSpecial case. 610 $aSpline (mathematics). 610 $aSpline interpolation. 610 $aStatistic. 610 $aStochastic calculus. 610 $aStochastic. 610 $aTelemetry. 610 $aTheorem. 610 $aTrapezoidal rule. 610 $aWaypoint. 610 $aWeight function. 610 $aWithout loss of generality. 615 0$aInterpolation. 615 0$aSmoothing (Numerical analysis) 615 0$aSmoothing (Statistics) 615 0$aCurve fitting. 615 0$aSplines. 615 0$aSpline theory. 676 $a511/.42 686 $aSK 880$2rvk 700 $aEgerstedt$b Magnus$0771533 701 $aMartin$b Clyde$058749 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910780863803321 996 $aControl theoretic splines$93735330 997 $aUNINA LEADER 05574nam 2200661Ia 450 001 9910830326203321 005 20170815111605.0 010 $a1-282-30726-6 010 $a9786612307263 010 $a0-470-31681-0 010 $a0-470-31756-6 035 $a(CKB)1000000000013797 035 $a(EBL)469968 035 $a(OCoLC)264615258 035 $a(SSID)ssj0000339870 035 $a(PQKBManifestationID)11263256 035 $a(PQKBTitleCode)TC0000339870 035 $a(PQKBWorkID)10364789 035 $a(PQKB)10542064 035 $a(MiAaPQ)EBC469968 035 $a(PPN)159342643 035 $a(EXLCZ)991000000000013797 100 $a19900517d1990 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLisp-Stat$b[electronic resource] $ean object-oriented environment for statistical computing and dynamic graphics /$fLuke Tierney 210 $aNew York $cWiley$dc1990 215 $a1 online resource (418 p.) 225 0 $aWiley series in probability and mathematical statistics. Applied probability and statistics,$x0271-6232 300 $a"A Wiley Interscience publication." 311 $a0-471-50916-7 320 $aIncludes bibliographical references (p. 341-346) and index. 327 $aLISP-STAT An Object-Oriented Environment for Statistical Computing and Dynamic Graphics; Contents; Preface; 1 Introduction; 1.1 Environments for Statisticd Computing; 1.2 The Lisp-Stat Environment; 1.2.1 Why Lisp?; 1.2.2 Using Lisp-stat; 1.2.3 Some Design and Portability Issues; 1.2.4 The Future of Lisp-Stat; 2 A Lisp-stat Tutorial; 2.1 The Lisp Interpreter; 2.2 Elementary Computations and Graphs; 2.2.1 One-Dimensional Summaries and Plots; 2.2.2 Two-Dimensional Plots; 2.2.3 Plotting Functions; 2.3 More on the Interpreter; 2.3.1 Saving Your Work; 2.3.2 A Command History Mechanism 327 $a2.3.3 Getting Help2.3.4 Listing and Undefining Variables; 2.3.5 Interrupting a Calculation; 2.4 Some Data-Handling Functions; 2.4.1 Generating Systematic Data; 2.4.2 Generating Random Data; 2 4.3 Forming Subsets and Deleting Cases; 2.4.4 Combining Several Lists; 2.4.5 Modifying Data; 2.4.6 Reading Data Files; 2.5 Dynamic Graphs; 2.5.1 Spinning Plots; 2.5.2 Scatterplot Matrices; 2.5.3 Interacting with Individual Plots; 2.5.4 Linked Plots; 2.5.5 Modifying a Scatterplot; 2.5.6 Dynamic Simulations; 2.6 Regression; 2.7 Defining Functions and Methods; 2.7.1 Defining Functions 327 $a2.7.2 Functions as Arguments2.7.3 Graphical Animation Control; 2.7.4 Defining Methods; 2.8 More Models and Techniques; 2.8.1 Nonlinear Regression; 2.8.2 Maximization and Maximum Likelihood Estimation; 2.8.3 Approximate Bayesian Computations; 3 Programming in Lisp; 3.1 Writing Simple Functions; 3.2 Predicates and Logical Expressions; 3.3 Conditional Evaluation; 3.4 Iteration and Recursion; 3.5 Environments; 3.5.1 Some Terminology; 3.5.2 Local Variables; 3.5.3 Local Functions; 3.6 Functions and Expressions as Data; 3.6.1 Anonymous Functions; 3.6.2 Using Function Arguments 327 $a3.6.3 Returning Functions as Resillts3.6.4 Expressions as Data; 3.7 Mapping; 3.8 Assignment and Destructive Modification; 3.9 Equality; 3.10 Some Examples; 3.10.1 Newton's Method for Finding Roots; 3.10.2 Symbolic Differentiation; 4 Additional Lisp Features; 4.1 Input/Output; 4.1.1 The Lisp Reader; 4.1.2 Basic Printing Functions; 4.1.3 Format; 4.1.4 Files and Streams; 4.2 Defining More Flexible Functions; 4.2.1 Keyword Arguments; 4.2.2 Optional Arguments; 4.2.3 Variable Number of Arguments; 4.3 Control Structure; 4.3.1 Conditionai Evaluation; 4.3.2 Looping; 4.4 Basic Lisp Data and Functions 327 $a4.4.1 Numbers4.4.2 Strings and Characters; 4.4.3 Symbols; 4.4.4 Lists; 4.4.5 Vectors; 4.4.6 Sequences; 4.4.7 Arrays; 4.4.8 Other Data Types; 4.5 Odds and Ends; 4.5.1 Errors; 4.5.2 Code-Writing Support; 4.5.3 Debugging Tools; 4.5.4 Timing; 4.5.5 Defsetf; 4.5.6 Special Variables; 5 Statistical Functions; 5.1 Compound Data; 5.1.1 Compound Data Properties; 5.1.2 Vectorized Arithmetic; 5.2 Data-Handling Functions; 5.2.1 Basic Operations; 5.2.2 Sorting Functions; 5.2.3 Interpolation and Smoothing; 5.3 Probability Distributions; 5.4 Array and Linear Algebra Functions 327 $a5.4.1 Basic Matrix and Array Functions 330 $aWritten for the professional statistician or graduate statistics student, the primary objective of this book is to describe a system, based on the LISP language, for statistical computing and dynamic graphics to show how it can be used as an effective platform for a wide range of statistical computing tasks ranging from basic calculations to customizing dynamic graphs. In addition, it introduces object-oriented programming and graphics programming in a statistical context. The discussion of these ideas is based on the Lisp-Stat system; readers with access to such a system can reproduce the exa 410 0$aWiley Series in Probability and Statistics 606 $aMathematical statistics$xData processing 606 $aLISP (Computer program language) 606 $aObject-oriented programming (Computer science) 615 0$aMathematical statistics$xData processing. 615 0$aLISP (Computer program language) 615 0$aObject-oriented programming (Computer science) 676 $a519.502855369 700 $aTierney$b Luke$0102416 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830326203321 996 $aLisp-stat$91128465 997 $aUNINA