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1. SpringerLink [electronic resource]. [1997  ]
 Berlin, Germany ; New York : Springer, 1997
 Description
 Journal/Periodical
 Database topics
 Science (General); Engineering; General and Reference Works; Mathematical Sciences; Physics and Astronomy; Earth Sciences; Biology
 Summary

Provides online, fulltext access to Springer's journal and ebook titles, as well as titles from other publishers. Subjects include: life sciences, chemical sciences, environmental sciences, geosciences, computer science, mathematics, medicine, physics & astronomy, engineering and economics.
2. Wiley online library [electronic resource]. [1997  ]
 Hoboken, N.J. : Wiley.
 Database topics
 Science (General)
 Summary

Provides full text access to journals, reference works, books, and databases published by Wiley in all the science disciplines.
 Cham : Springer, ©2019.
 Description
 Book — 1 online resource (268 pages)
 Summary

 Preface
 Berezovskaya F. and Karev G.: Arnolds Weak Resonance Equation as a model of Greek ornamental designs
 Bratus A., Novozhilov A. and Semenov, Y.: Rigorous mathematical analysis of the quasispecies model: From Manfred Eigen to recent developments
 De Leo, R.: A survey on quasiperiodic topology
 Karev, G.: Natural selection strategies in evolutionary game theory
 Karev, G. and Berezovskaya, F.: Struggle for Existence: the models for Darwinian and nonDarwinian selection
 Kareva, I.: Combining bifurcation analysis and population heterogeneity to ask meaningful questions
 Logofet, D: Polyvariant Ontogeny in Plants: A Primary Role of the Second Positive Eigenvalue
 Alvaro G. Lpez, A.G., Seoane, J.M., Miguel A.F. Sanjun, M.A.F.: Modelling cancer dynamics using cellular automata
 Medvinsky, A.: Recurrence as a basis for the assessment of predictability of the irregular population dynamics
 Nedorezov, L.V.: Total Analysis of Population Time Series: Estimation of Model Parameters and Identification of Population Dynamics Type
 Tsyganov M., Zemskov, E.P.: Analytical solutions for traveling pulses and wave trains in neural models: Excitable and oscillatory regimes
 Tyutyunov, Y., Zagrebneva, A.D., V.N. Govorukhin, L.I. Titova, L.I.: Numerical study of bifurcations occurring at fast timescale in a predatorprey model with inertial preytaxis
 Wirkus, S., Soho, E.: Within host dynamical immune response to coinfection with malaria and tuberculosis
 Index.
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4. Mathematics and life sciences [2013]
 Berlin : De Gruyter, [2013]
 Description
 Book — xii, 316 pages : illustrations (some color) ; 25 cm.
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QH323.5 .M3765 2013  Unknown 
 Singapore : Springer, [2017]
 Description
 Book — 1 online resource. Digital: text file; PDF.
 Summary

 â
 Chapter 1. Perfectly Reliable and Secure Message Transmission.
 Chapter 2. Hole: An Emerging Character in the Story of Radio kColoring Problem.
 Chapter 3. Robust Control of Stochastic Structures using Minimum Norm Quadratic Partial Eigenvalue Assignment Technique.
 Chapter 4. Singletime and multitime HamiltonJacobi theory based on higherorder Lagrangians.
 Chapter 5. On Wavelet Based Methods for Noise Reduction of cDNA Microarray Images.
 Chapter 6. A Transformation for the Analysis of Unimodal Hazard Rate Lifetimes Data.
 Chapter 7. The Power MGaussian Distribution: an RSymmetric Analog of the ExponentialPower Distribution.
 Chapter 8. Stochastic Volatility Models (SV) in the Analysis of Drought Periods.
 Chapter 9. Nonparametric Estimation of Mean Residual Life Function Using Scale Mixtures.
 Chapter 10. Something Borrowed, Something New: Precise Prediction of Outcomes from Diverse Genomic Profiles.
 Chapter 11. Bivariate Frailty Model and Association Measure.
 Chapter 12. On Bayesian Inference of P<(Y < X) for Weibull Distribution.
 Chapter 13. Air pollution effects on clinical visits in small areas of Taiwan: a review of Bayesian spatiotemporal analyses.
 Chapter 14. On Competing Risks With Masked Failures.
 Chapter 15. Environmental applications based on BirnbaumSaunders models.
 Chapter 16. ResponseDependent Sampling and Observation of Life History Processes.
 Chapter 17. Exact likelihoodbased point and interval estimation for lifetime characteristics of Laplace distribution based on a timeconstrained lifetesting experiment.
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6. Calculus for the life sciences [2015]
 Greenwell, Raymond N., author.
 Second edition.  Boston : Pearson Addison Wesley, [2015]
 Description
 Book — One volume (various pagings) : color illustrations ; 29 cm
 Summary

 R. Algebra Reference R.1 Polynomials R.2 Factoring R.3 Rational Expressions R.4 Equations R.5 Inequalities R.6 Exponents R.7 Radicals
 1. Functions 1.1 Lines and Linear Functions 1.2 The Least Squares Line 1.3 Properties of Functions 1.4 Quadratic Functions Translation and Reflection 1.5 Polynomial and Rational Functions Chapter Review Extended Application: Using Extrapolation to Predict Life Expectancy
 2. Exponential, Logarithmic, and Trigonometric Functions 2.1 Exponential Functions 2.2 Logarithmic Functions 2.3 Applications: Growth and Decay 2.4 Trigonometric Functions Chapter Review Extended Application: Power Functions
 3. The Derivative 3.1 Limits 3.2 Continuity 3.3 Rates of Change 3.4 Definition of the Derivative 3.5 Graphical Differentiation Chapter Review Extended Application: A Model For Drugs Administered Intravenously
 4. Calculating the Derivative 4.1 Techniques for Finding Derivatives 4.2 Derivatives of Products and Quotients 4.3 The Chain Rule 4.4 Derivatives of Exponential Functions 4.5 Derivatives of Logarithmic Functions 4.6 Derivatives of Trigonometric Functions Chapter Review Extended Application: Managing Renewable Resources
 5. Graphs and the Derivative 5.1 Increasing and Decreasing Functions 5.2 Relative Extrema 5.3 Higher Derivatives, Concavity, and the Second Derivative Test 5.4 Curve Sketching Chapter Review Extended Application: A Drug Concentration Model for Orally Administered Medications
 6. Applications of the Derivative 6.1 Absolute Extrema 6.2 Applications of Extrema 6.3 Implicit Differentiation 6.4 Related Rates 6.5 Differentials: Linear Approximation Chapter Review Extended Application: A Total Cost Model for a Training Program
 7. Integration 7.1 Antiderivatives 7.2 Substitution 7.3 Area and the Definite Integral 7.4 The Fundamental Theorem of Calculus 7.5 The Area Between Two Curves Chapter Review Extended Application: Estimating Depletion Dates for Minerals
 8. Further Techniques and Applications of Integration 8.1 Numerical Integration 8.2 Integration by Parts 8.3 Volume and Average Value 8.4 Improper Integrals Chapter Review Extended Application: Flow Systems
 9. Multivariable Calculus 9.1 Functions of Several Variables 9.2 Partial Derivatives 9.3 Maxima and Minima 9.4 Total Differentials and Approximations 9.5 Double Integrals Chapter Review Extended Application: Optimization for a Predator
 10. Matrices 10.1 Solution of Linear Systems 10.2 Addition and Subtraction of Matrices 10.3 Multiplication of Matrices 10.4 Matrix Inverses 10.5 Eigenvalues and Eigenvectors Chapter Review Extended Application: Contagion
 11. Differential Equations 11.1 Solutions of Elementary and Separable Differential Equations 11.2 Linear FirstOrder Differential Equations 11.3 Euler's Method 11.4 Linear Systems of Differential Equations 11.5 NonLinear Systems of Differential Equations 11.6 Applications of Differential Equations Chapter Review Extended Application: Pollution of the Great Lakes
 12. Probability 12.1 Sets 12.2 Introduction to Probability 12.3 Conditional Probability Independent Events Bayes' Theorem 12.4 Discrete Random Variables Applications to Decision Making Chapter Review Extended Application: Medical Diagnosis
 13. Probability and Calculus 13.1 Continuous Probability Models 13.2 Expected Value and Variance of Continuous Random Variables. 13.3 Special Probability Density Functions Chapter Review Extended Application: Exponential Waiting Times
 14. Discrete Dynamical Systems 14.1 Sequences 14.2 Equilibrium Points 14.3 Determining Stability Chapter Review Extended Application: Mathematical Modeling in a Dynamic World Special Topics (available online) Sequences and Series Geometric Sequences Annuities: An Application of Sequences Taylor Polynomials Infinite Series Taylor Series Newton's Method L'Hopital's Rule Markov Chains.
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QA303.2 .G74 2015  Unknown 
 London : Imperial College Press ; Hackensack, NJ : Distributed by World Scientific Pub. Co., c2011.
 Description
 Book — x, 317 p. : ill. (some col.) ; 24 cm.
 Summary

 Geometry and Theoretical Physics: The Emergence of Algebraic Geometry in Contemporary Physics Quantum Gravity and Quantum Geometry The de Sitter and antide Sitter Universes Geometry and Topology in Relativistic Cosmology The Problem of Space in Neurosciences: Space in the Cerebral Cortex Action and Space Representation The Space Representations in the Brain The Enactive Constitution of Space Geometrical Methods in Biological Sciences: Causes and Symmetries in Natural Sciences Topological Invariants of Geometrical Surfaces and the Protein Folding Problem The Geometry of Dense Packing and Biological Structures When Topology Meets Biology 'For Life'  Remarks on how Topological Form Modulates Biological Function.
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 www.worldscientific.com World Scientific
 EBSCO University Press
 Google Books (Full view)
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QH323.5 .N478 2011  Available 
 Ball, M. A. (Michael Anthony), 1938
 Chichester : E. Horwood ; New York : Halsted Press, 1985.
 Description
 Book — 296 p. : ill. ; 25 cm.
 Online
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QA39.2 .B362 1985  Available 
 Conference on Mathematics in Social, Economic and Life Sciences (1977 : Mysore, India)
 Madras : Institute of Mathematical Sciences, 1977.
 Description
 Book — ca. 275 p. ; 29 cm.
 Online
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QA3.M37 NO.89  Available 
10. Biocalculus : calculus for life sciences [2015]
 Stewart, James, 1941
 Boston : Cenage Learning, c2015.
 Description
 Book — xlvii, 802 p. : col. ill. ; 25 cm
 Online
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QH323.5 .S748 2015  Unknown 
 [Geneva, Switzerland] : University of Geneva, 1993.
 Description
 Book — 370 p. : ill. (some col.) ; 24 cm.
 Online
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QH324 .S66 1993  Available 
 2nd ed.  Banbury : Scion Pub. Ltd, 2012.
 Description
 Book — 1 v. (various pagings) : ill. ; 24 cm.
 Summary

 Catchup biology for the medical sciences / Philip Bradley and Jane Calvert
 Catchup chemistry for the life and medical sciences / Mitch Fry and Elizabeth Page
 Catchup maths & stats for the life and medical sciences / Michael Harris, Gordon Taylor, Jacquelyn Taylor.
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QH315 .C287 2012  Available 
 Harshbarger, Ronald J., 1938 author.
 12th edition.  Boston, MA : Cengage Learning, [2019]
 Description
 Book — XV, 901 pages, pages AP 145, A 167, I 118 : illustrations ; 29 cm
 Summary

 0. ALGEBRAIC CONCEPTS. Sets. The Real Numbers. Integral Exponents. Radicals and Rational Exponents. Operations with Algebraic Expressions. Factoring. Algebraic Fractions.
 1. LINEAR EQUATIONS AND FUNCTIONS. Solutions of Linear Equations and Inequalities in One Variable. Functions. Linear Functions. Graphs and Graphing Utilities. Solutions of Systems of Linear Equations. Applications of Functions in Business and Economics.
 2. QUADRATIC AND OTHER SPECIAL FUNCTIONS. Quadratic Equations. Quadratic Functions: Parabolas. Business Applications Using Quadratics. Special Functions and Their Graphs. Modeling Fitting Curves to Data with Graphing Utilities (optional).
 3. MATRICES. Matrices. Multiplication of Matrices. GaussJordan Elimination: Solving Systems of Equations. Inverse of a Square Matrix Matrix Equations. Applications of Matrices: Leontief InputOutput Models.
 4. INEQUALITIES AND LINEAR PROGRAMMING. Linear Inequalities in Two Variables. Linear Programming: Graphical Methods. The Simplex Method: Maximization. The Simplex Method: Duality and Minimization. The Simplex Method with Mixed Constraints.
 5. EXPONENTIAL AND LOGARITHMIC FUNCTIONS. Exponential Functions. Logarithmic Functions and Their Properties. Equations and Applications with Exponential and Logarithmic Functions.
 6. MATHEMATICS OF FINANCE. Simple Interest Sequences. Compound Interest Geometric Sequences. Future Values of Annuities. Present Values of Annuities. Loans and Amortization.
 7. INTRODUCTION TO PROBABILITY. Probability Odds. Unions and Intersections of Events: OneTrial Experiments. Conditional Probability: The Product Rule. Probability Trees and Bayes'' Formula. Counting: Permutations and Combinations. Permutations, Combinations, and Probability. Markov Chains.
 8. FURTHER TOPICS IN PROBABILITY DATA DESCRIPTION. Binomial Probability Experiments. Data Description. Discrete Probability Distributions The Binomial Distribution. Normal Probability Distribution. The Normal Curve Approximation to the Binomial Distribution.
 9. DERIVATIVES. Limits. Continuous Functions Limits at Infinity. Rates of Change and Derivatives. Derivative Formulas. The Product Rule and the Quotient Rule. The Chain Rule and the Power Rule. Using Derivative Formulas. HigherOrder Derivatives. Applications: Marginals and Derivatives.
 10. APPLICATIONS AND DERIVATIVES. Relative Maxima and Minima: Curve Sketching. Concavity: Points of Inflection. Optimization in Business and Economics. Applications of Maxima and Minima. Rational Functions: More Curve Sketching.
 11. DERIVATIVES CONTINUED. Derivatives of Logarithmic Functions. Derivatives of Exponential Functions. Implicit Differentiation. Related Rates. Applications in Business and Economics.
 12. INDEFINITE INTEGRALS. Indefinite Integrals. The Power Rule. Integrals Involving Exponential and Logarithmic Functions. Applications of the Indefinite Integral in Business and Economics. Differential Equations.
 13. DEFINITE INTEGRALS: TECHNIQUES OF INTEGRATION. Area Under a Curve. The Definite Integral: The Fundamental Theorem of Calculus. Area Between Two Curves. Applications of Definite Integrals in Business and Economics. Using Tables of Integrals. Integration by Parts. Improper Integrals and Their Applications. Numerical Integration Methods: The Trapezoidal Rule and Simpson''s Rule.
 14. FUNCTIONS OF TWO OR MORE VARIABLES. Functions of Two or More Variables. Partial Differentiation. Applications of Functions of Two Variables in Business and Economics. Maxima and Minima. Maxima and Minima of Functions Subject to Constraints: Lagrange Multipliers. APPENDICES. A. Graphing Calculator Guide. B. Excel Guide. C. Areas Under the Standard Normal Curve.
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HF5691 .H3184 2019  Unknown 
 MacKenzie, Aulay, author.
 First edition  Boca Raton, FL : CRC Press, an imprint of Taylor & Francis, [2004]
 Description
 Book — 1 online resource (176 pages) : 150 illustrations
 Summary

 part Section A  Using numbers in life sciences  chapter Section B  Measures and units  chapter B2: Units: The Syste?me International  chapter B3: Preparing solutions  chapter Section C  Handling and presenting data  chapter C2: Presenting data  chapter Section D  Building blocks of mathematics  chapter D2: Trigonometry  chapter D3: Indices and logarithms  chapter Section E  Using mathematics  chapter E2: Defining biological relationships  chapter Section F  Rates of change: Differentiation  chapter F2: Other functions  chapter Section G  Rates of change Integration  chapter G2: Position, velocity, and acceleration  chapter G3: Methods of integration  chapter G4: Areas under lines  chapter G5: Numerical integration  chapter Section H  Equations  chapter H2: Difference equations  chapter Section I  Using equations  part I2: Heat loss from a body  chapter I3: Chemical kinetics  chapter Section J  Building blocks of statistics  chapter J2: Experimental design  chapter J3: Tests and testing  chapter Section K  Finding the right statistical test  chapter K2: Searching for patterns in continuous data  chapter K3: Searching for patterns in count data  chapter K4: Searching in a data pond
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15. Mathématiques et statistique pour les sciences de la nature : modéliser, comprendre et appliquer [2010]
 Biau, Gérard.
 Les Ulis : EDP Sciences, ©2010.
 Description
 Book — 1 online resource (xv, 531 pages) : illustrations.
 [Washington, D.C.] : Mathematical Association of America, 2013.
 Description
 Book — 1 online resource (xvii, 207 pages) : illustrations
 Summary

 Models. BioCalc at Illinois / J. Jerry Uhl and Judy Holdener ; Biocalculus at Benedictine University / Timothy D. Comar ; Implementation of first year biomath courses at the Ohio State University / Laura Kubatko, Janet Best, Tony Nance, and Yuan Lou ; Teaching calculus, probability, and statistics to undergraduate life science majors : a unified approach / Frederick R. Adler ; The first year of calculus and statistics at Macalester College / Dan Flath, Tom Halverson, Danny Kaplan, and Karen Saxe ; Biology in mathematics at the University of Richmond / Lester Caudill ; A terminal postCalculusI mathematics course for biology students / Glenn Ledder ; Modeling nature and the nature of modeling : an integrative modeling approach / Claudia Neuhauser ; Mathematical biology and computational algebra at the sophomore level / Rohan Attele and Dan Hrozencik ; An interdisciplinary research course in theoretical ecology for young undergraduates / Glenn Ledder, Brigitte Tenhumberg, and G. Travis Adams ; An interdisciplinary course, textbook, and laboratory manual in biomathematics with emphasis on current biomedical research / Raina Robeva, Robin Davies, and Michael L. Johnson ; Teaching bioinformatics in a mathematics department / Steven Deckelman ; SYMBIOSIS : an integration of biology, math and statistics at the freshman level : walking together instead of on opposite sides of the street / Karl H. Joplin, Edith Seier, Anant Godbole, Michel Helfgott, Istvan Karsai, Darrell Moore, and Hugh A. Miller, III
 Processes. Science One : integrating mathematical biology into a firstyear program / Mark Mac Lean ; Planning for the long term / Meredith L. Greer ; Some lessons from fifteen years of educational initiatives at the interface between mathematics and biology : the entrylevel course / Louis J. Gross ; A "wetlab" calculus for the life sciences / James L. Cornette, Gail B. Johnston, Ralph A. Ackerman, and Brin A. Keller ; Creating an interdisciplinary research course in mathematical biology / Glenn Ledder and Brigitte Tenhumberg ; Bioinformatics : an example of a cooperative learning course / Namyong Lee and Ernest Boyd ; Integrating statistics and General Biology I in a learning community / William Ardis and Sukanya Subramanian ; Constructing an undergraduate biomath curriculum at a large university : developing first year biomath courses at the Ohio State University / Tony Nance and Laura Kubatko ; Initial steps towards an integration of qualitative thinking into the teaching of biology at a large public university / Carole L. Hom, Eric V. Leaver, and Martin Wilson
 Directions. Integrating statistics into college algebra to meet the needs of biology students / Sheldon P. Gordon and Florence Gordon ; Motivating calculus with biology / Sebastian J. Schreiber ; Computational systems biology : discrete models of gene regulation networks / Ana Martins, Paola VeraLicona, and Reinhard Laubenbacher ; Creating quantitative biologists : the immediate future of SYMBIOSIS / Darrell Moore, Karl H. Joplin, Istvan Karsai, and Hugh A. Miller, III.
17. Mathematics and life sciences [2013]
 Berlin : De Gruyter, [2013]
 Description
 Book — 1 online resource (xii, 316 pages) : illustrations (some color)
 Summary

 1 Introduction; 1.1 Scientific Frontiers at the Interface of Mathematics and Life Sciences; 1.1.1 Developing the Language of Science and Its Interdisciplinary Character; 1.1.2 Challenges at the Interface: Mathematics and Life Sciences; 1.1.3 What This Book Is About; 1.1.4 Concluding Remarks; 2 Mathematical and Statistical Modeling of Biological Systems; 2.1 Ensemble Modeling of Biological Systems; 2.1.1 Introduction; 2.1.2 Background; 2.1.3 Ensemble Model; 2.1.4 Computational Techniques; 2.1.5 Application to Viral Infection Dynamics; 2.1.6 Ensemble Models in Biology; 2.1.7 Conclusions.
 3 Probabilistic Models for Nonlinear Processes and Biological Dynamics3.1 Nonlinear Lévy and Nonlinear Feller Processes: an Analytic Introduction; 3.1.1 Introduction; 3.1.2 Dual Propagators; 3.1.3 Perturbation Theory for Weak Propagators; 3.1.4 TProducts; 3.1.5 Nonlinear Propagators; 3.1.6 Linearized Evolution Around a Path of a Nonlinear Semigroup; 3.1.7 Sensitivity Analysis for Nonlinear Propagators; 3.1.8 Back to Nonlinear Markov Semigroups; 3.1.9 Concluding Remarks; 4 New Results in Mathematical Epidemiology and Modeling Dynamics of Infectious Diseases.
 4.1 Formal Solutions of Epidemic Equation4.1.1 Introduction; 4.1.2 Epidemic Models; 4.1.3 Formal Solutions; 4.1.4 Separation of Variables; 4.1.5 Solvability of General Equations; 4.1.6 Concluding Remarks; 5 Mathematical Analysis of PDEbased Models and Applications in Cell Biology; 5.1 Asymptotic Analysis of the Dirichlet Spectral Problems in Thin Perforated Domains with Rapidly Varying Thickness and Different Limit Dimensions; 5.1.1 Introduction; 5.1.2 Description of a Thin Perforated Domain with Quickly Oscillating Thickness and Statement of the Problem; 5.1.3 Equivalent Problem.
 5.1.4 The Homogenized Theorem5.1.5 Asymptotic Expansions for the Eigenvalues and Eigenfunctions; 5.1.6 Conclusions; 6 Axiomatic Modeling in Life Sciences with Case Studies for Virusimmune System and Oncolytic Virus Dynamics; 6.1 Axiomatic Modeling in Life Sciences; 6.1.1 Introduction; 6.1.2 Boosting Immunity by Antiviral Drug Therapy: Timing, Efficacy and Success; 6.1.3 Predictive Modeling of Oncolytic Virus Dynamics; 6.1.4 Conclusions; 7 Theory, Applications, and Control of Nonlinear PDEs in Life Sciences; 7.1 On One Semilinear Parabolic Equation of Normal Type; 7.1.1 Introduction.
 7.1.2 Semilinear Parabolic Equation of Normal Type7.1.3 The Structure of NPE Dynamics; 7.1.4 Stabilization of Solution for NPE by Start Control; 7.1.5 Concluding Remarks; 7.2 On some Classes of Nonlinear Equations with L1 Data; 7.2.1 Nonlinear Elliptic Secondorder Equations with L1data; 7.2.2 Nonlinear Fourthorder Equations with Strengthened Coercivity and L1Data; 7.2.3 Concluding Remarks; 8 Mathematical Models of Pattern Formation and Their Applications in Developmental Biology; 8.1 ReactionDiffusion Models of Pattern Formation in Developmental Biology; 8.1.1 Introduction.
 Wan, Frederic Y. M. author.
 New Jersey : World Scientific, [2018]
 Description
 Book — xx, 379 pages ; 26 cm
 Summary

Broadly speaking, there are two general approaches to teaching mathematical modeling: 1) The case study approach focusing on different specific modeling problems familiar to the particular author, and 2) The methods approach teaching some useful mathematical techniques accessible to the targeted student cohort with different models introduced to illustrate the application of the methods taught. The goal and approach of this new text differ from these two conventional approaches in that its emphasis is on the scientific issues that prompt the mathematical modeling and analysis of a particular phenomenon. For example, in the study of a fish population, we may be interested in the growth and evolution of the population, whether the natural growth or harvested population reaches a steady state (equilibrium or periodically changing) population in a particular environment, is a steady state stable or unstable with respect to a small perturbation from the equilibrium state, whether a small change in the environment would lead to a catastrophic change, etc. Each of these scientific issues requires the introduction of a different kind of model and a different set of mathematical tools to extract information about the same biological organisms or phenomena.Volume I of this three volume set limits its scope to phenomena and scientific issues that can be modeled by ordinary differential equations (ODE) that govern the evolution of the phenomena with time. The scientific issues involved include evolution, equilibrium, stability, bifurcation, feedback, optimization and control. Scientific issues such as signal and wave propagation, diffusion, and shock formation pertaining to phenomena involving spatial dynamics are to be modeled by partial differential equations (PDE) and will be treated in Volume II. Scientific issues involving randomness and uncertainty are deferred to Volume III.
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QH323.5 .W36 2018  Unknown 
 Tranquillo, Joseph Vincent, 1975
 San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2011.
 Description
 Book — 1 electronic text (xiv, 121 p.).
 Summary

 1. Introduction
 1.1 Introduction
 1.2 A short history of computing
 1.2.1 The prehistory of computing
 1.2.2 The early history of digital computing
 1.2.3 Modern computing
 1.3 A history of MATLAB
 1.4 Why MATLAB 
 2. MATLAB programming environment
 2.1 Introduction
 2.2 The MATLAB environment
 2.3 The diary command
 2.4 An introduction to scalars
 2.5 Basic arithmetic
 2.5.1 Priority of commands
 2.5.2 Reissuing previous commands
 2.5.3 Builtin constants
 2.5.4 Finding unknown commands
 2.6 The logistic equation
 2.7 Clearing variables and quitting MATLAB
 2.8 Examples 
 3. Vectors
 3.1 Introduction
 3.2 Vectors in MATLAB
 3.2.1 Creating vectors in MATLAB
 3.2.2 Creating regular vectors
 3.2.3 Special vectors and memory allocation
 3.3 Vector indices
 3.4 Strings as vectors
 3.5 Saving your workspace
 3.6 Graphical representation of vectors
 3.6.1 Polynomials
 3.7 Exercises 
 4. Matrices
 4.1 Introduction
 4.2 Creating a matrix and indexing
 4.2.1 Simplified methods of creating matrices
 4.2.2 Sparse matrices
 4.3 Indexing a matrix
 4.3.1 Higher dimensional matrices
 4.4 Simple matrix routines
 4.5 Visualizing a matrix
 4.5.1 Spy
 4.5.2 Imagesc and print
 4.6 More complex data structures
 4.6.1 Structures
 4.6.2 Cell arrays
 4.7 Exercises 
 5. Matrixvector operations
 5.1 Introduction
 5.2 Basic vector operations
 5.2.1 Vector arithmetic
 5.2.2 Vector transpose
 5.2.3 Vectorvector operations
 5.3 Basic matrix operations
 5.3.1 Simple matrix functions
 5.4 Matrixvector operations
 5.4.1 Outer products
 5.4.2 Matrix inverse
 5.5 Other linear algebra functions
 5.6 Matrix condition
 5.7 Exercises 
 6. Scripts and functions
 6.1 Introduction
 6.2 Scripts
 6.3 Good programming habits
 6.3.1 Comments and variables
 6.3.2 Catching errors and displaying text
 6.4 Script example, the random walk
 6.5 Functions
 6.5.1 Inputoutput
 6.5.2 Inline functions
 6.5.3 The MATLAB path
 6.5.4 Function size
 6.6 Debugging
 6.7 User input
 6.7.1 Input
 6.7.2 Ginput
 6.8 Function example
 6.9 Exercises 
 7. Loops
 7.1 Introduction
 7.2 The for loop
 7.2.1 For loops over nonintegers
 7.2.2 Variable coding
 7.2.3 For loops over an array
 7.2.4 Storing results in a vector
 7.3 Euler integration method
 7.3.1 Numerical integration of protein expression
 7.4 The logistic equation revisited
 7.5 The while loop
 7.6 Nested loops
 7.6.1 Looping over matrices
 7.6.2 Parameter variation
 7.7 Exercises 
 8. Conditional logic
 8.1 Introduction
 8.2 Logical operators
 8.2.1 Random Booleans
 8.2.2 Logical operations on strings
 8.2.3 Logic and the find command
 8.3 If, elseif and else
 8.3.1 The integrate and fire neuron
 8.3.2 Catching errors
 8.3.3 Function flexibility
 8.3.4 While loops
 8.3.5 Steadystate of differential equations
 8.3.6 Breaking a loop
 8.3.7 Killing runaway jobs
 8.4 Switch statements
 8.5 Exercises 
 9. Data in, data out
 9.1 Introduction
 9.2 Built in readers and writers
 9.3 Writing arrays and vectors
 9.3.1 Diffusion matrices
 9.3.2 Excitable membrane propagation
 9.4 Reading in arrays and vectors
 9.4.1 Irregular text files
 9.5 Reading and writing movies and sounds
 9.5.1 Sounds
 9.5.2 Reading in images
 9.6 Binary files
 9.6.1 Writing binary files
 9.6.2 Reading binary files
 9.6.3 Headers
 9.7 Exercises 
 10. Graphics
 10.1 Introduction
 10.2 Displaying 2D data
 10.2.1 Figure numbers and saving figures
 10.2.2 Velocity maps
 10.2.3 Log and semilog plots
 10.2.4 Images
 10.2.5 Other 2D plots
 10.2.6 Subplots
 10.3 Figure handles
 10.3.1 The hierarchy of figure handles
 10.3.2 Generating publication quality figures
 10.4 Displaying 3D data
 10.5 Exercises 
 11. Toolboxes
 11.1 Introduction
 11.2 Statistical analysis and curve fitting
 11.2.1 Data fits to nonlinear function
 11.2.2 Interpolation and splines
 11.3 Differential and integral equations
 11.3.1 Integrals and quadrature
 11.4 Signal processing toolbox
 11.5 Imaging processing toolbox
 11.6 Symbolic solver
 11.7 Additional toolboxes and resources
 11.7.1 MATLAB Central and other online help
 Author's biography.
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 Anderson, David Raymond, 1942
 New York : Springer, 2008.
 Description
 Book — xxiv, 184 p. : ill. ; 24 cm.
 Summary

 Introductionscience hypotheses and science philosophy. Data and models. Information theory and entropy. Quantifying the evidence about science hypotheses. Multimodel inference. Advanced topics. Summary.
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QH323.5 .A524 2008  Available 
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