1  20
Next
 Haluška, Ján.
 Wien : Institut für Höhere Studien, [1997]
 Description
 Book — 20 p. : ill. ; 30 cm.
 Online
 Vilares, Manuel J. (Manuel José)
 Dordrecht ; Boston : Martinus Nijhoff ; Hingham, MA, USA : Distributors for the United States and Canada, Kluwer Academic, 1986.
 Description
 Book — x, 260 p. : ill. ; 25 cm.
 Online
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

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HB141 .V55 1986  Available 
3. Libro de oro del Mapa en Relieve [1999]
 Guatemala : INGUAT, 1999.
 Description
 Book — 24 p. : col. ill. ; 28 cm.
 Online
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

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G4811 .C18 L53 1999  Available 
4. Testing macroeconometric models [1994]
 Fair, Ray C.
 Cambridge, Mass. : Harvard University Press, 1994.
 Description
 Book — xvii, 421 p. ; 25 cm.
 Summary

 Part 1 Introduction. Part 2 Theory. Part 3 The data, variables and equations. Part 4 Estimating and testing single equations. Part 5 The stochastic equations of the US model. Part 6 The stochastic equations of the ROW model. Part 7 Estimating and testing complete models. Part 8 Estimating and testing the US model. Part 9 Testing the MC model. Part 10 Analyzing properties of models. Part 11 Analyzing properties of the US model. Part 12 Analyzing properties of the MC model. Appendices: tables for the US model
 tables for the ROW model.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
SAL3 (offcampus storage)
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HC106.5 .F32 1994  Available 
 [Korea] : Institute for Monetary and Economic Research, the Bank of Korea, 1993.
 Description
 Book — 88 p. ; 26 cm.
 Online
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

Stacks  Request (opens in new tab) 
HC467 .M33  Available 
6. Izbrannye trudy v trekh knigakh [1997]
 Works. Selections. 1997
 I͡Aremenko, I͡UriĬ Vasilʹevich.
 Moskva : "Nauka," 1997.
 Description
 Book — 3 v. : port. ; 22 cm.
 Summary

 kn. 1. Teorii͡a i metodologii͡a issledovanii͡a mnogourovnevoĬ ėkonomiki
 kn. 2. Prognozy razvitii͡a narodnogo khozi͡aĬstva i varianty ėkonomicheskoĬ politiki
 t. 3. Prioritety strukturnoĬ politiki i opyt reform
 Online
7. Applied stochastic modeling [2023]
 Blanco Castañeda, Liliana, author.
 Cham : Springer, [2023]
 Description
 Book — 1 online resource (vii, 151 pages) : illustrations (chiefly color)
 Summary

 DiscreteTime Markov Chain
 Branching Processes and Hidden Markov Model
 Poisson Processes and its Extensions
 ContinuousTime Markov Modeling
 Applications and Biology and Ecology
 Radchenko, Vadym M., author.
 London : ISTE Ltd ; Hoboken, NJ : John Wiley & Sons, Inc., 2022.
 Description
 Book — 1 online resource
 Summary

 1. Integration with Respect to Stochastic Measures.
 2. Path Properties of Stochastic Measures.
 3. Equations Driven by Stochastic Measures.
 4. Approximation of Solutions of the Equations.
 5. Integration and Evolution Equations in Hilbert Spaces.
 6. Symmetric Integrals.
 7. Averaging Principle.
 8. Solutions to Exercises.
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(source: Nielsen Book Data)
 Cham, Switzerland : Springer, [2022]
 Description
 Book — x, 526 pages : illustrations (some color), maps (some color) ; 24 cm
 Summary

This book carefully considers hydrological models which are essential for predicting floods, droughts, soil moisture estimation, land use change detection, geomorphology and water structures. The book highlights recent advances in the area of hydrological modelling in the Ganga Basin and other internationally important river basins. The impact of climate change on water resources is a global concern. Water resources in many countries are already stressed, and climate change along with burgeoning population, rising standard of living and increasing demand are adding to the stress. Furthermore, river basins are becoming less resilient to climatic vagaries. Fundamental to addressing these issues is hydrological modelling which is covered in this book. Integrated water resources management is vital to ensure water and food security. Integral to the management is groundwater and solute transport, and this book encompasses tools that will be useful to mitigate the adverse consequences of natural disasters.
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Earth Sciences Library (Branner)
Earth Sciences Library (Branner)  Status 

Stacks  
GB656.2 .H9 H922 2022  Unknown 
10. Mathematical modelling [2022]
 Serovajsky, Simon, author.
 First edition  Boca Raton, FL : Chapman & Hall/CRC Press, 2022
 Description
 Book — 1 online resource : illustrations
 Summary

 Foundations of mathematical modelling. Lecture. 1.1 Cognition and modelling. 1.2 Natural sciences and Mathematics. 1.3 Content or form? 1.4 Copernicus or Ptolemy? 1.5 Mathematical model of a body falling. 1.6 Principles of mathematical model determining. 1
 .7. Classification of mathematical models. Appendix.
 1. Probe movement.
 2. Missile flight. 3 Glider flight. Notes. I. Systems with lumped parameters.
 2. Approximate solving of differential equations. Lecture. 2.1 Conception of approximate solution. 2.2 Euler method. 2.3 Probe movement. 2.4 Missile flight. 2
 .5. Glider flight. Appendix.
 1. RungeKutta method.
 2. Twobody problem.
 3. Predatorpray model. Notes.
 3. Mechanical Oscillations. Lecture. 3
 .1. Determination of the pendulum oscillation equation. 3.2 Solving of the pendulum oscillation equation. 3.3 Pendulum oscillation energy. 3.4 Oscillation of a pendulum with friction. 3.5 Equilibrium position of the pendulum. 3.6 Forced oscillations of the pendulum. Appendix.
 1. Spring oscillation.
 2. Large pendulum oscillations.
 3. Problems of nonlinear oscillation theory. Notes. 4 Electrical Oscillations. Lecture. 4.1 Electrical circuit. 4.2 Energy of circuit. 4.3 Circuit with resistance. 4.4 Forced circuit oscillations. Appendix.
 1. Forced oscillations of spring.
 2. Circuit with nonlinear capacity. 3 Van der Pol circuit. Notes.
 5. Elements of dynamical system theory. Lecture. 5
 .1. Evolutionary processes and differential equations. 5.2 General notions of dynamic systems theory. 5.3 Change in species number with excess food. 5.4 Oscillations of pendulum. 5.5 Stability of the equilibrium position. 5.6 Limit cycle. Appendix.
 1. Exponential growth systems.
 2. Brussellator.
 3. System with two limit cycle. Notes.
 6. Mathematical models in chemistry. Lecture. 6
 .1. Chemical kinetics equations. 6
 .2. Monomolecular reaction. 6
 .3. Bimolecular reaction. 6
 .4. Lotka reaction system. Appendix.
 1. Brusselator.
 2. Oregonator.
 3. Chemical niche.
 4. Laser healing model. Notes.
 7. Mathematical model in biology. Lecture. 7
 .1. One species evolution. 7
 .2. Biological competition model. 7.3 Predatorprey model. 7.4 Symbiosis model. Appendix.
 1. Models of chemical and physical competition.
 2. Fluctuations in yield and fertility.
 3. Ecological niche model.
 4. SIR model for spread of disease.
 5. Antibiotic resistance model. Notes.
 8. Mathematical model of economics. Lecture.
 1. One company evolution.
 2. Economic competition model.
 3. Economic niche model.
 4. Free market model.
 5. Monopolized market model. Appendix.
 1. Ecological niche model.
 2. Inflation model.
 3. Model of economic cooperation.
 4. Racketeer  entrepreneur model.
 5. Solow model of economic growth. Notes.
 9. Mathematical models in social sciences. Lecture. 9
 .1. Political competition. 9
 .2. Political niche. 9
 .3. Bipartisan system. 9
 .4. Trade union activity. 9.5 Allied relations. Appendix.
 1. Competition models.
 2. Niche models.
 3. Predatorprey models. Notes. II. Systems with distributed parameters.
 10. Mathematical models of transfer processes. Lecture. 10.1 Heat equation. 10.2 First boundary value problem for the homogeneous heat equation. 10.3 Nonhomogeneous heat equation. Appendix.
 1. Generalizations of the heat equation.
 2. Second boundary value problem for the heat equation.
 3. Diffusion equation. Notes.
 11. Mathematical models of transfer processes. Lecture.
 1. Heat equation and similarity theory.
 2. Goods transfer equation.
 3. Finite difference method for the heat equation.
 4. Diffusion of chemical reactants.
 5. Stefan problem for the heat equation. Appendix.
 1. Overview of transfer processes.
 2. Finite difference method. Implicit scheme.
 3. Competitive species migration.
 4. Hormone treatment of the tumor with hormone resistance. Notes.
 12. Wave processes. Lecture. 12
 .1. Vibration of string. 12
 .2. Vibrations of string with fixed ends. 12.3 Infinitely long string. 12
 .4. Electrical vibrations in wires. Appendix.
 1. Energy of vibrating string.
 2. Mathematical models of wave processes.
 3. Beam vibrations.
 4. Maxwell equations.
 5. Finite difference method for the vibrating string equation. Notes.
 13. Mathematical models of stationary systems. Lecture. 13
 .1. Stationary heat transfer 13
 .2. Spherical and cylindrical coordinates. 13.3 Vector fields. 13
 .4. Electrostatic field. 13.5 Gravity field. Appendix.
 1. Stationary fluid flow.
 2. Steady oscillations.
 3. Bending a thin elastic plate.
 4. Variable separation method for the Laplace equation in a circle.
 5. Establishment method. Notes.
 14. Mathematical models of fluid and gas mechanics. Lecture. 14
 .1. Vibration string equation. 14
 .2. Ideal fluid movement. 14
 .3. Ideal fluid under the gravity field. 14
 .4. Viscous fluid movement. Appendix.
 1. Burgers equation.
 2. Surface wave movement.
 3. Boundary layer model.
 4. Acoustic problem.
 5. Thermal convection.
 6. Problems of magnetohydrodynamics. Notes.
 15. Mathematical models of quantum mechanical systems. Lecture. 15
 .1. Quantum mechanics problems. 15
 .2. Wave function. 15
 .3. Schroedinger equation. 15
 .4. Particle movement under an external field. 15
 .5. Potential barrier. Appendix.
 1. Wave function normalization.
 2. Particle movement in a well with infinitely high walls. Notes. III. Other mathematical models.
 16. Variational principles. Lecture.
 1. Brachistochrone problem.
 2. Lagrange problem.
 3. Shortest curve.
 4. Body falling problem and the concept of action.
 5. Principle of least action.
 6. Vibrations of string. Appendix.
 1. Law of conservation of energy.
 2. Fermat's principle and light refraction.
 3. River crossing problem.
 4. Pendulum oscillations.
 5. Approximate solution of minimization problems. Notes.
 17. Discrete models. Lecture. 17
 .1. Discrete population dynamics models. 17
 .2. Discrete heat transfer model. 17
 .3. Transportation problem. 17
 .4. Traveling salesman problem. 17
 .5. Prisoner's Dilemma. Appendix.
 1. Discrete model of epidemic propagation.
 2. Potential method for solving a transportation problem.
 3. Production planning.
 4. Concepts of game theory. Notes.
 18. Stochastic models. Lecture. 18
 .1. Stochastic model of pure birth. 18
 .2. Monte Carlo method. 18
 .3. Stochastic model of population death. 18
 .4. Stochastic Malthus model. Appendix.
 1. Malthus model with random population growth.
 2. Models with random parameters.
 3. Discrete model of selling goods.
 4. Passage of a neutron through a plate. Notes. IV. Additions.
 19. Mathematical problems of mathematical models. Lecture. 19
 .1. Cauchy problem properties for differential equations. 19
 .2. Properties of boundary value problems. 19
 .3. Boundary value problems for the heat equation. 19
 .4. Hadamard's example and wellposedness of problems. 19
 .5. Classical and generalized solution of problems. Appendix.
 1. Nonlinear boundary value problems.
 2. Euler's elastic problem.
 3. Benard problem.
 4. Generalized model of stationary heat transfer.
 5. Sequential model of stationary heat transfer. Notes.
 20. Optimal control problems. Lecture. 20
 .1. Maximizing the shell fight range. 20
 .2. Maximizing the missile fight range. 20
 .3. General optimal control problem. 20
 .4. Solving of the maximization problem of the missile fight range. 20
 .5. Timeoptimal control problem. Appendix.
 1. Maximizing the probe's ascent height.
 2. Approximate methods for solving optimality conditions.
 3. Gradient methods. Notes.
 21. Identification of mathematical models. Lecture. 21
 .1. Problem of determining the system parameters. 21
 .2. Inverse problems and their solving. 21
 .3. Heat equation with data at the final time. 21
 .4. Differentiation of functionals and gradient methods. 21
 .5. Solving of the heat equation with reversed time. Appendix.
 1. Boundary inverse problem for the heat equation.
 2. Inverse problem for the falling of body.
 3. Inverse gravimetry problem.
 4. Wellposedness of optimal control problems. Notes. Epilogue. Bibliography. Index.
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 Püttmann, Thomas, author.
 Heidelberg : dpunkt.verlag, 2022.
 Description
 Book — 1 online resource : illustrations
 Summary

28 faszinierende Modelle laden zum Nachbauen und Experimentieren ein: Sie rechnen, zeichnen Ellipsen und andere Figuren, faktorisieren Zahlen, ls̲en Gleichungssysteme, synthetisieren Funktionen, messen Flc̃heninhalte oder sehen einfach nur spannend aus. Das Buch wendet sich gleichermassen an Schülerinnen und Schüler, Lehrende, Hobbyisten, Enthusiasten und an alle, die Mathematik mg̲en. Es ist eine Fundgrube für MathematikAGs und andere MINTAngebote. Zu jedem Modell ist eine Liste der bent̲igten fischertechnikEinzelteile angegeben. Für begrenzte Zeit stellt die Firma fischertechnik einen Baukasten zu diesem Buch zur Verfügung.
12. Rasch models for solving measurement problems : invariant measurement in the social sciences [2021]
 Engelhard, George, 1953 author.
 Thousand Oaks : Sage, 2021.
 Description
 Book — 1 online resource (124 pages) : illustrations.
 Summary

 Chapter 1: Introduction
 Chapter 2: Constructing a Rasch Scale
 Chapter 3: Evaluating a Rasch Scale
 Chapter 4: Maintaining a Rasch Scale
 Chapter 5: Using a Rasch Scale
 Chapter 6: Conclusion.
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 Jensen, Pablo.
 Cham : Springer, 2021.
 Description
 Book — 1 online resource (112 pages)
 Summary

 Introduction
 Three Simple Models
 What can be Learnt from Simple Models?
 Reality Check for Simple Models
 A Physical Simple Model
 What are Simple Models Worth for?
 Complex Models to Understand Complex Social Situations
 Modelling Epidemics
 Why Weather/Climate Forecasts can be Trusted
 We are not Social Atoms
 Social Data are Soaked by Social Complexity
 Machines that Learn How to Model
 Starting from Data to Hunt Causes
 A Moral Thermometer?
 Where do Indicators Lead us?. Which Numbers for the Future?
 Conclusion
 Acknowledgements
 Annexes.
14. Accuracy of mathematical models : dimension reduction, homogenization, and simplification [2020]
 Repin, Sergey I., author.
 Berlin, Germany : European Mathematical Society, [2020]
 Description
 Book — 1 online resource
 IUTAM Symposium on Model Order Reduction of Coupled Systems (2018 : Stuttgart, Germany)
 Cham, Switzerland : Springer, [2020]
 Description
 Book — 1 online resource
 Summary

 Preface
 Static condensation optimal port/interface reduction and error estimation for structural health monitoring, by Kathrin Smetana
 Parametric Models for Coupled System, by Hermann G. Matthies and Roger Ohayon
 Model order reduction of linear switched systems with constrained switching, by Ion Victor Gosea, Igor Pontes Duff, Peter Benner and Athanasios C. Antoulas
 Reduced order model using datadriven and equationfree methods, by Soledad Le Clainche and Jos´e M. Vega
 An adaptive way of choosing signicant snapshots for the Proper Orthogonal Decomposition, by Steffen Kastian, Stefanie Reese
 Fully online ROMs and collocation based on LUPOD, by MariaLuisa Rapún, Filippo Terragni, José M. Vega
 A posteriori Error Estimation in Model Order Reduction of Elastic Multibody Systems with Large Rigid Motion, by Ashish Bhatt, J¨org Fehr, Dennis Grunert and Bernard Haasdonk
 A Reduced Order Approach for the Embedded Shifted Boundary FEM and a Heat Exchange System on Parametrized Geometries, by Efthymios N. Karatzas, Giovanni Stabile, Nabil Atallah, Guglielmo Scovvazzi and Gianluigi Rozza
 PODBased Augmented Lagrangian Method for State Constrained HeatConvection Phenomena, by Jonas Siegfried Jehle, Luca Mechelli and Stefan Volkwein
 Coupling of incompressible freesurface flow, acoustic fluid and flexible structure via a modal basis, by Florian Toth and Manfred Kaltenbacher
 Model Order Reduction of Coupled, Parameterized Elastic Bodies for Shape Optimization, by Benjamin Fröhlich, Florian Geiger, Jan Gade, Manfred Bischoff and Peter Eberhard
 A Novel Penalty Based Reduced Order Modelling Approach for Dynamic Analysis of Joint Structures with Localized Nonlinearities, by Jie Yuan, Loic Salles, Luca Pesaresi, Chian Wong and Sophoclis Patsias
 PODDEIM Model Order Reduction for the Monodomain ReactionDiffusion SubModel of the NeuroMuscular System, by Nehzat Emamy, Pascal Litty, Thomas Klotz, Miriam Mehl and Oliver Röhrle
 Indexaware MOR for Gas Transport Networks, by Nicodemus Banagaaya, Sara Grundel and Peter Benner
 Polynomial TensorBased Stability Identification of Milling Process: Application to Reduced ThinWalled Workpiece, by Chigbogu G. Ozoegwu.
 Cham : Springer, 2020.
 Description
 Book — 1 online resource (268 pages)
 Summary

 Fuzzy KernelBased Clustering and Support Vector Machine Algorithm in Analyzing Cerebral Infarction Dataset. A predatorprey model with fear factor, Allee effect and periodic harvesting. Mathematical Modeling of Rock Massif Dynamics under Explosive Sources of Disturbances. Residual Power Series Approach for Solving Linear Fractional SwiftHohenberg Problems. Kernelbased Fuzzy Clustering for Sinusitis Dataset.
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17. String theory in a nutshell [2019]
 Kiritsis, Elias, author.
 Second edition  Princeton and Oxford : Princeton University Press, [2019]
 Description
 Book — xxiv, 855 pages : illustrations ; 26cm
 Summary

 Classical string theory
 Quantization of bosonic strings
 Conformal field theory
 Scattering amplitudes and vertex operators
 Strings in background fields
 Superstrings and supersymmetry
 Dbranes
 Compactification and supersymmetry breaking
 Loop corrections to string effective couplings
 Duality connections and nonperturbative effects
 Compactifications with fluxes
 Black holes and entropy in string theory
 The bulk/boundary (holographic) correspondence
 Applications of the holographic correspondence
 String theory and matrix models
 Appendix A : Twodimensional complex geometry
 Appendix B : Differential forms
 Appendix C : Conformal transformations and curvature
 Appendix D: Theta and other elliptic functions
 Appendix E : Toroidal lattice sums
 Appendix F : Toroidal KaluzaKlein reduction
 Appendix G : The ReissnerNordström black hole
 Appendix H : Electricmagnetic duality in D = 4
 Appendix I : Supersymmetric actions in ten and eleven dimensions
 Appendix J : N = 1,2, fourdimensional supergravity coupled to matter
 Appendix K : BPS multiplets in four dimensions
 Appendix L : The geometry of antide Sitter space
(source: Nielsen Book Data)
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
QC794.6 .S85 K57 2019  Unknown 
 Cham, Switzerland : Springer, [2019]
 Description
 Book — 1 online resource Digital: text file.PDF.
 Summary

This book focuses on structural changes and economic modeling. It presents papers describing how to model structural changes, as well as those introducing improvements to the existing beforestructuralchanges models, making it easier to later on combine these models with techniques describing structural changes. The book also includes related theoretical developments and practical applications of the resulting techniques to economic problems. Most traditional mathematical models of economic processes describe how the corresponding quantities change with time. However, in addition to such relatively smooth numerical changes, economical phenomena often undergo more drastic structural change. Describing such structural changes is not easy, but it is vital if we want to have a more adequate description of economic phenomena  and thus, more accurate and more reliable predictions and a better understanding on how best to influence the economic situation.
(source: Nielsen Book Data)
 Schilling, Alexander author.
 Basel : Birkhäuser, [2018]
 Description
 Book — 1 online resource Digital: text file; PDF.
 Summary

 Frontmatter
 Contents
 Foreword / Schilling, Alexander
 1 Historical Context
 2 The Representation of Architecture
 3 Typology
 4 Function
 5 Model Construction Site
 6 Presentation and Views
 Outlook
 Conclusion
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20. Introduction to mathematical modeling [2017]
 Humi, Mayer, author.
 First edition.  Boca Raton, FL : CRC Press, an imprint of Chapman and Hall/CRC, 2017.
 Description
 Book — 1 online resource (512 pages) : 97 illustrations
 Summary

 chapter 1 The Process of Mathematical Modeling / Mayer Humi
 chapter 2 Modeling with Ordinary Differential Equations / Mayer Humi
 chapter 3 Solutions of Systems of ODEs / Mayer Humi
 chapter 4 Stability Theory / Mayer Humi
 chapter 5 Bifurcations and Chaos / Mayer Humi
 chapter 6 Perturbations / Mayer Humi
 chapter 7 Modeling with Partial Differential Equations / Mayer Humi
 chapter 8 Solutions of Partial Differential Equations / Mayer Humi
 chapter 9 Variational Principles / Mayer Humi
 chapter 10 Modeling Fluid Flow / Mayer Humi
 chapter 11 Modeling Geophysical Phenomena / Mayer Humi
 chapter 12 Stochastic Modeling / Mayer Humi
 chapter 13 Answers to Problems / Mayer Humi.
(source: Nielsen Book Data)
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