1.

Record Nr.

UNIBAS000021218

Titolo

La novellaja milanese  La novellaja fiorentina / [a cura di] Vittorio Imbriani

Pubbl/distr/stampa

[Sala Bolognese] : <<Arnaldo>> Forni, stampa 1976

Edizione

[Ristampa accresciuta di molte novelle inedite, di numerosi riscontri e di note]

Descrizione fisica

XV, 640 p. ; 22 cm.

Disciplina

398.20945

853.008

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Sul controfront.: Tiratura limitata a 300 esemplari

2.

Record Nr.

UNINA9910458688603321

Autore

Dym Clive L

Titolo

Principles of mathematical modeling [[electronic resource]]

Pubbl/distr/stampa

Amsterdam ; ; Boston, : Elsevier Academic Press, c2004

ISBN

1-280-96132-5

9786610961320

0-08-047028-9

Edizione

[2nd ed. /]

Descrizione fisica

1 online resource (323 p.)

Disciplina

511/.8

Soggetti

Mathematical models

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Contents; Preface; Acknowledgments; Part A: Foundations; 1 What is Mathematical Modeling?; 1.1 Why do we do mathematical modeling?;



1.2 Principles of mathematical modeling; 1.3 Some methods of methematical modeling; 1.4 Summary; 1.5 References; 2 Dimensional Analysis; 2.1 Dimensions and units; 2.2 Dimensional homogeneity; 2.3 Why do we do dimensional analysis?; 2.4 How do we do dimensional analysis?; 2.5 Systems of units; 2.6 Summary; 2.7 References; 2.8 Problems; 3 Scale; 3.1 Abstraction and scale; 3.2 Size and shape: geometric scaling; 3.3 Size and function-I: Birds and flight

3.4 Size and function-II: Hearing and speech3.5 Size and limits: scale in equations; 3.6 Consequences of choosing a scale; 3.7 Summary; 3.8 References; 3.9 Problems; 4 Approximating and Validating MOdels; 4.1 Taylor's formula; 4.2 Algebraic approximations; 4.3 Numerical approximations: significant figures; 4.4 Validating the model-I: How do we know the model is OK?; 4.5 Validating the model-II: How large are the errors?; 4.6 Fitting curves to data; 4.7 Elementary statistics; 4.8 Summary; 4.9 Appendix: Elementary transcendental functions; 4.10 References; 4.11 Problems; Part B: Applications

5 Exponential Growth and Decay5.1 How do things get so out of hand?; 5.2 Exponential functions and their differential equations; 5.3 Radioactive decay; 5.4 Charging and discharging a capacitor; 5.5 Exponential models in money matters; 5.6 A nonlinear model of population growth; 5.7 A coupled model of fighting armies; 5.8 Summary; 5.9 References; 5.10 Problems; 6 Traffic Flow Models; 6.1 Can we really make sense of freeway traffic?; 6.2 Macroscopic traffic flow models; 6.3 Microscopic traffic models; 6.4 Summary; 6.5 References; 6.6 Problems; 7 Modeling Free Vibration

7.1 The freely-vibrating pendulum-I: Formulating a model7.2 The freely-vibrating pendulum-II: The linear model; 7.3 The spring-mass oscillator-I: Physical interpretations; 7.4 Stability of a two-mass pendulum; 7.5 The freely vibrating pendulum-III: The nonlinear model; 7.6 Modeling the popular growth of coupled species; 7.7 Summary; 7.8 References; 7.9 Problems; 8 Applying Vibration Models; 8.1 The spring-mass oscillator-II: Extensions and analogies; 8.2 The fundamental period of a tall, slender building; 8.3 The cyclotron frequency; 8.4 The fundamental frequency of an acoustic resonator

8.5 Forcing vibration: modeling an automobile suspension8.6 The differential equation md2x/dt2+kx=F(t_; 8.7 Resonance and impedance in forced vibration; 8.8 Summary; 8.9 References; 8.10 Problems; 9 Optimization: What Is the Best...?; 9.1 Continuous optimization modelling; 9.2 Optimization with linear programming; 9.3 The transportation problem; 9.4 Choosing the best alternative; 9.5 A miscellany of optimization problems; 9.6 Summary; 9.7 References; 9.8 Problems; Index

Sommario/riassunto

Science and engineering students depend heavily on concepts of mathematical modeling. In an age where almost everything is done on a computer, author Clive Dym believes that students need to understand and ""own"" the underlying mathematics that computers are doing on their behalf. His goal for Principles of Mathematical Modeling, Second Edition, is to engage the student reader in developing a foundational understanding of the subject that will serve them well into their careers.  The first half of the book begins with a clearly defined set of modeling principles, and then intro



3.

Record Nr.

UNINA9910143440303321

Titolo

Biocontrol of oilseed rape pests [[electronic resource] /] / edited by David V. Alford

Pubbl/distr/stampa

Oxford ; ; Malden, MA, : Blackwell Science, 2003

ISBN

1-280-28478-1

9786610284788

0-470-70853-0

1-4051-7156-1

0-470-75098-7

1-4051-2828-3

Descrizione fisica

1 online resource (366 p.)

Altri autori (Persone)

AlfordD. V

Disciplina

633.8/5396

633.853996

Soggetti

Rape (Plant) - Diseases and pests - Biological control

Insect pests - Biological control

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Biocontrol of Oilseed Rape Pests; Contents; Preface; 1 The Oilseed Rape Crop; 2 Insect Pests of Oilseed Rape Crops; 3 Management of Oilseed Rape Pests; 4 Parasitoids of Pollen Beetles; 5 Parasitoids of Ceutorhynchid Stem Weevils; 6 Parasitoids of Cabbage Seed Weevil; 7 Parasitoids of Brassica Pod Midge; 8 Parasitoids of Flea Beetles; 9 Parasitoids of Miscellaneous Pests; 10 Sampling, Trapping and Rearing Oilseed Rape Pests and Their Parasitoids; 11 Identification of Hymenopterous Parasitoids Associated with Oilseed Rape Pests; 12 Predators of Oilseed Rape Pests

13 Taxonomy and Identification of Predators14 Sampling, Trapping and Rearing of Predators; 15 Impact of On-Farm Landscape Structures and Farming Systems on Predators; 16 Predators as Biocontrol Agents of Oilseed Rape Pests; 17 Pathogens of Oilseed Rape Pests; Glossary; Author Index; General Index



Sommario/riassunto

Oilseed rape, a major crop in many parts of the world, is attacked by a wide range of insect pests, many of which are of considerable economic importance. With the increasing demand to reduce agrochemical inputs on arable crops, the Commission of the European Communities supported a three-year programme in which scientific participants reviewed the natural enemies of oilseed rape insect pests. The various outputs from this important work form the basis of this comprehensive new book.   Biocontrol of Oilseed Rape Pests commences with a review of the oilseed rape crop, followe