01895nam 2200421 450 00001623120050718115600.00-7923-0543-420030905d1990----km-y0itay0103----baengNLQuasiconformal mappings and Sobolev spacesby V. M. Gol'dshtein, Yu. G. ReshetnyakDordrecht [etc.]Kluwer Academic Publishersc1990XIX, 371 p.25 cm.Mathematics and its applications (Soviet series)54Tit. orig.: Vvedenie v teoriiu funktsii s obobshchennymi proizvodnymi i kvazikonformnye otobrazheniia2001Mathematics and its applications (Soviet series)Funzioni515(21. ed.)Analisi30C65Functions of a complex variable. Geometric function theory. Quasiconformal mappings in Rn, other generalizations46E35Functional analysis. Linear function spaces and their duals. Sobolev spaces and other spaces of "smooth" functions, embedding theorems, trace theoremsGol'dshtein,V. M.441969Reshetnyak,Yu. G.351325ITUniversità della Basilicata - B.I.A.RICAunimarc000016231Quasiconformal mappings and Sobolev spaces82178UNIBASMONSCISCIENZEEXT0030120030905BAS01111620050601BAS011755batch0120050718BAS01105320050718BAS01111220050718BAS01114220050718BAS011156BAS01BAS01BOOKBASA5Dipartimento MatematicaGENCollezione generaleMAT465M4652003090551RiservatiBAS01BAS01BOOKBASA5Dipartimento MatematicaGENCollezione generaleMAT4794M47942003091851Riservati04882oam 2200493 450 991081660300332120170523091546.00-12-383837-1(OCoLC)867735188(MiFhGG)GVRL8DQZ(EXLCZ)99255000000113951120140529d2014 uy 0engurun|---uuuuatxtccrMATLAB for neuroscientists an introduction to scientific computing in MATLAB /Pascal Wallisch [and five others]Second edition.London :Academic Press,2014.1 online resource (xx, 550 pages) illustrations (some color)Gale eBooks"Elsevier science and technology books."0-12-383836-3 1-306-07784-2 Includes bibliographical references and index.Front Cover; MATLAB® for Neuroscientists; Copyright Page; Contents; Preface to the First Edition; Preface to the Second Edition; About the Authors; How to Use this Book; Structural and Conceptual Considerations; Layout and Style; Companion Web Site; I: Fundamentals; 1 Introduction; 2 MATLAB Tutorial; 2.1 Goal of this Chapter; 2.2 Purpose and Philosophy of MATLAB; 2.2.1 Getting Started; 2.2.2 MATLAB as a Calculator; 2.2.3 Defining Matrices; 2.2.4 Basic Matrix Algebra; 2.2.5 Indexing; 2.3 Graphics and Visualization; 2.3.1 Basic Visualization; 2.4 Function and Scripts; 2.4.1 Scripts2.4.2 Functions2.4.3 Control Structures; 2.4.4 Advanced Plotting; 2.4.5 Interactive Programs; 2.5 Data Analysis; 2.5.1 Importing and Storing Data; 2.6 A Word on Function Handles; 2.7 The Function Browser; 2.8 Summary; MATLAB Functions, Commands, and Operators Covered in This Chapter; 3 Mathematics and Statistics Tutorial; 3.1 Introduction; 3.2 Linear Algebra; 3.2.1 Matrices, Vectors, and Arrays; 3.2.2 Transposition; 3.2.3 Addition; 3.2.4 Scalar Multiplication; 3.2.5 Matrix Multiplication; 3.2.6 Geometrical Interpretation of Matrix Multiplication; 3.2.7 The Determinant3.2.8 Eigenvalues and Eigenvectors3.2.9 Applications of Eigenvectors: Eigendecomposition; 3.2.10 Applications of Eigenvectors: PCA; 3.3 Probability and Statistics; 3.3.1 Introduction; 3.3.2 Random Variables; 3.3.2.1 Sample Estimates of Population Parameters; 3.3.2.2 Joint and Conditional Probabilities; 3.3.3 The Poisson Distribution; 3.3.4 Normal Distribution; 3.3.5 Confidence Values; 3.3.6 Significance Testing; 3.3.6.1 Student's t Distribution; 3.3.6.2 ANOVA Testing; 3.3.7 Linear Regression; 3.3.8 Introduction to Bayesian Reasoning; 3.3.9 OutlookMATLAB Functions, Commands, and Operators Covered in This Chapter4 Programming Tutorial: Principles and Best Practices; 4.1 Goals of this Chapter; 4.2 Organizing Code; 4.2.1 A Few Words about Maintenance; 4.2.2 Variables and How to Name Them; 4.2.3 Understanding Scope; 4.2.4 Script or Function?; 4.2.5 The Art of Commenting; 4.3 Organizing More Code: Bigger Projects; 4.3.1 Why Reuse Code?; 4.3.2 Coupling and Cohesion; 4.3.3 Separation of Concerns; 4.3.4 Limiting Side Effects, or the Perils of Global State; 4.3.5 Objects; 4.3.5.1 Creating Objects; 4.3.5.2 Inheritance4.3.5.3 Passing Objects Around: The Handle Class4.3.5.4 Summary; 4.4 Taming Errors; 4.4.1 An Introduction to the Debugger; 4.4.2 Logging; 4.4.3 Edge Cases and Unit Testing; 4.4.4 A Few Words about Precision; 4.4.5 Suggestions for Optimization; 4.4.5.1 Vectorizing Matrix Operations; 4.4.5.2 Conditional Expressions; 4.4.5.3 Extracting Subsets from Arrays; MATLAB Functions, Commands, and Operators Covered in This Chapter; 5 Visualization and Documentation Tutorial; 5.1 Goals of This Chapter; 5.2 Visualization; 5.3 Documentation; MATLAB Functions, Commands, and Operators Covered in This ChapterII: Data Collection with MATLABMATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and the 2nd Edition continues to ensure that many computational problems can be addressed in a single programming environment. This updated edition features additional material on the creaNeurosciencesData processingNeurosciencesData processing.571Wallisch Pascal1978-1642024Wallisch Pascal1642024MiFhGGMiFhGGBOOK9910816603003321MATLAB for neuroscientists3986525UNINA