| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISALENTO991003689179707536 |
|
|
Autore |
Brant, Sebastian |
|
|
Titolo |
Das narrenschiff : la nave dei folli : secondo la 1. edizione (Basilea 1494) con le aggiunte del 1495 e del 1499 / Sebastian Brant ; introduzione, traduzione e note di Raffaele Disanto |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
619 p., [8] c. di tav. : ill. ; 21 cm |
|
|
|
|
|
|
Collana |
|
Biblioteca della ricerca. Testi stranieri ; 12 |
|
|
|
|
|
|
Altri autori (Persone) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910796954403321 |
|
|
Autore |
Kimpel Lennart |
|
|
Titolo |
Aufgaben in der Allgemeinen Chemie : Zum Zusammenspiel von chemischem Verständnis und Rechenfähigkeit / / Lennart Kimpel |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Berlin : , : Logos Verlag, , [2018] |
|
©2018 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (185 pages) : illustrations |
|
|
|
|
|
|
Collana |
|
Studien zum Physik- und Chemielernen ; ; 249 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Chemistry - Study and teaching |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
PublicationDate: 20180320 |
|
|
|
|
|
|
Sommario/riassunto |
|
Long description: Die Klausuren der Studieneingangsphase, die Chemiestudierenden besonders Probleme bereiten, weisen einen hohen Mathematisierungsgrad auf. Bislang wurden die Probleme durch die Mathematisierung in der Chemie jedoch nur wenig untersucht. Es ist bekannt, dass ein chemischer Kontext zu einer starken Reduktion der Lösungswahrscheinlichkeit von Rechenaufgaben führt. Ein Fehlen von chemischem Verständnis wurde in diesem Zusammenhang ebenfalls festgestellt. In der vorliegenden Studie war daher die Identifikation verschiedener schwierigkeitserzeugender Faktoren bei der Bearbeitung chemischer Rechenaufgaben das Ziel. Durch die Verwendung verschiedener Tests (mathematische Fähigkeiten, chemisches Rechnen, Formelkenntnis, Erkennen der benötigten Formel sowie Fachwissen) konnten mehrere Problembereiche beschrieben werden: Entgegen einer weit verbreiteten Annahme waren die mathematischen Fähigkeiten der Studierenden für die Anforderungen der Allgemeinen Chemie ausreichend. Der Einsatz dieser Fähigkeiten in einem chemischen Zusammenhang bereitete jedoch Probleme. Hinzu kommen eine mangelnde Kenntnis und eine fehlerhafte Anwendung chemischer Formeln. Als stärkster Prädiktor für das erfolgreiche Bearbeiten einer chemischen Rechenaufgabe wurde das Verstehen der chemischen Zusammenhänge identifiziert. Zur weitergehenden Analyse wurden |
|
|
|
|
|
|
|
|
|
|
|
|
|
Begleitinstrumente herangezogen. |
|
|
|
|
|
|
3. |
Record Nr. |
UNINA9910821695203321 |
|
|
Autore |
Matuttis Hans-Georg |
|
|
Titolo |
Understanding the discrete element method : simulation of non-spherical particles for granular and multi-body systems / / Hans-Georg Matuttis, Jian Chen |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Singapore : , : Wiley, , 2014 |
|
©2014 |
|
|
|
|
|
|
|
|
|
ISBN |
|
1-118-56728-5 |
1-118-56722-6 |
1-118-56721-8 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (480 p.) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Granular flow |
Discrete element method |
Multibody systems |
Mechanics, Applied - Computer simulation |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references at the end of each chapters and index. |
|
|
|
|
|
|
|
|
Nota di contenuto |
|
UNDERSTANDING THE DISCRETE ELEMENT METHOD SIMULATION OF NON-SPHERICAL PARTICLES FOR GRANULARAND MULTI-BODY SYSTEMS; Copright; Contents; Exercises; About the Authors; Preface; Acknowledgements; List of Abbreviations; 1 Mechanics; 1.1 Degrees of freedom; 1.1.1 Particle mechanics and constraints; 1.1.2 From point particles to rigid bodies; 1.1.3 More context and terminology; 1.2 Dynamics of rectilinear degrees of freedom; 1.3 Dynamics of angular degrees of freedom; 1.3.1 Rotation in two dimensions; 1.3.2 Moment of inertia; 1.3.3 From two to three dimensions |
1.3.4 Rotation matrix in three dimensions1.3.5 Three-dimensional moments of inertia; 1.3.6 Space-fixed and body-fixed coordinate systems andequations of motion; 1.3.7 Problems with Euler angles; |
|
|
|
|
|
|
|
|
|
|
|
1.3.8 Rotations represented using complex numbers; 1.3.9 Quaternions; 1.3.10 Derivation of quaternion dynamics; 1.4 The phase space; 1.4.1 Qualitative discussion of the time dependence of linear oscillations; 1.4.2 Resonance; 1.4.3 The flow in phase space; 1.5 Nonlinearities; 1.5.1 Harmonic balance; 1.5.2 Resonance in nonlinear systems; 1.5.3 Higher harmonics and frequency mixing |
1.5.4 The van der Pol oscillator1.6 From higher harmonics to chaos; 1.6.1 The bifurcation cascade; 1.6.2 The nonlinear frictional oscillator and Poincar ́e maps; 1.6.3 The route to chaos; 1.6.4 Boundary conditions and many-particle systems; 1.7 Stability and conservationlaws; 1.7.1 Stability in statics; 1.7.2 Stability in dynamics; 1.7.3 Stable axes of rotation around the principal axis; 1.7.4 Noether's theorem and conservation laws; 1.8 Further reading; Exercises; References; 2Numerical Integration of OrdinaryDifferential Equations; 2.1 Fundamentals of numerical analysis |
2.1.1 Floating point numbers2.1.2 Big-O notation; 2.1.3 Relative and absolute error; 2.1.4 Truncation error; 2.1.5 Local and global error; 2.1.6 Stability; 2.1.7 Stable integrators for unstable problems; 2.2 Numerical analysis for ordinary differential equations; 2.2.1 Variable notation and transformation of the order of adifferential equation; 2.2.2 Differences in the simulation of atoms and molecules,as compared to macroscopic particles; 2.2.3 Truncation error for solutions of ordinary differential equations; 2.2.4 Fundamental approaches; 2.2.5 Explicit Euler method |
2.2.6 Implicit Euler method2.3 Runge-Kutta methods; 2.3.1 Adaptive step-size control; 2.3.2 Dense output and event location; 2.3.3 Partitioned Runge-Kutta methods; 2.4 Symplectic methods; 2.4.1 The classical Verlet method; 2.4.2 Velocity-Verlet methods; 2.4.3 Higher-order velocity-Verlet methods; 2.4.4 Pseudo-symplectic methods; 2.4.5 Order, accuracy and energy conservation; 2.4.6 Backward error analysis; 2.4.7 Case study: the harmonic oscillator with andwithout viscous damping; 2.5 Stiff problems; 2.5.1 Evaluating computational costs; 2.5.2 Stiff solutions and error as noise |
2.5.3 Order reduction |
|
|
|
|
|
|
Sommario/riassunto |
|
Gives readers a more thorough understanding of DEM and equips researchers for independent work and an ability to judge methods related to simulation of polygonal particles Introduces DEM from the fundamental concepts (theoretical mechanics and solidstate physics), with 2D and 3D simulation methods for polygonal particlesProvides the fundamentals of coding discrete element method (DEM) requiring little advance knowledge of granular matter or numerical simulationHighlights the numerical tricks and pitfalls that are usually only realized after years o |
|
|
|
|
|
|
|
| |