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Whether in felling trees for wood, rearing insects for biological control, or culling animals for conservation purposes, efficient management of biological systems requires quantitative analysis of population growth and harvesting policies. Aiming to encourage the exchange of ideas among scientists involved in the management of fisheries, wildlife, forest stands, and pest control, the authors of this work present a general framework for modeling populations that reproduce seasonally and that have age or stage structure as an essential component of management strategy. The book represents the first time that examples from such diverse areas of biological resource management have been brought together in a unified modeling framework using the standard notation of mathematical systems theory. In addition, the authors combine a nonlinear extension of Leslie matrix theory and certain linear elements, thereby permitting interesting analytical results and the creation of compact, realistic simulation models of resource systems.
Environmental Sciences and Forestry. Nature Management --- Forest management --- Population biology --- Wildlife management --- Wildlife Conservation and Management. --- Mathematical models. --- Sinecologia. --- Ecologia forestale. --- Ecologia delle popolazioni. --- Ecologia animale. --- "as. --- Adams, D. M. --- Archibald, C. P. --- Bazaraa, M. S. --- Bergh, M. O. --- Beverton, R.J.H. --- Buongiorno, J. --- CACTOS. --- Carey, J. R. --- Chang, S. J. --- Clark, C. W. --- Faustmann, M. --- Getz, W. M. --- Hightower, J. E. --- Holt, S.J. --- Kronecker product. --- Leslie matrix. --- May, R. M. --- Perron root. --- Ricker, W. E. --- Schnute, J. --- Swartzman, G. L. --- Usher, M. B. --- Walters, C.J. --- competition. --- dynamic programming. --- eigenvalue. --- eigenvector. --- equilibrium. --- infinite time formulation. --- land expectation value. --- maximum principle. --- potato tuberworm. --- uneven-aged management.
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The last decade has brought dramatic changes in the way that researchers analyze economic and financial time series. This book synthesizes these recent advances and makes them accessible to first-year graduate students. James Hamilton provides the first adequate text-book treatments of important innovations such as vector autoregressions, generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models. In addition, he presents basic tools for analyzing dynamic systems (including linear representations, autocovariance generating functions, spectral analysis, and the Kalman filter) in a way that integrates economic theory with the practical difficulties of analyzing and interpreting real-world data. Time Series Analysis fills an important need for a textbook that integrates economic theory, econometrics, and new results. The book is intended to provide students and researchers with a self-contained survey of time series analysis. It starts from first principles and should be readily accessible to any beginning graduate student, while it is also intended to serve as a reference book for researchers.
519.246 --- Time-series analysis --- modeles economiques --- AA / International- internationaal --- 303.0 --- 304.0 --- 306.5 --- 519.55 --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- economische modellen --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken). --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen. --- Statistische analyse (methodologie). --- 519.246 Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Time-series analysis. --- Statistische technieken in econometrie. Wiskundige statistiek (algemene werken en handboeken) --- Zuivere statistische analyse (algemene naslagwerken). Tijdreeksen --- Statistische analyse (methodologie) --- Stochastic processes --- Statistical science --- Série chronologique --- Absolute summability. --- Autocovariance. --- Bartlett kernel. --- Block exogeneity. --- Cointegrating vector. --- Consumption spending. --- Cospectrum. --- Dickey-Fuller test. --- EM algorithm. --- Exchange rates. --- Filters. --- Fundamental innovation. --- Gamma distribution. --- Global identification. --- Gross national product. --- Hessian matrix. --- Inequality constraints. --- Invertibility. --- Jacobian matrix. --- Joint density. --- Khinchine's theorem. --- Kronecker product. --- Lagrange multiplier. --- Loss function. --- Mean-value theorem. --- Mixingales. --- Monte Carlo method. --- Newton-Raphson. --- Order in probability. --- Orthogonal. --- Permanent income. --- Quadrature spectrum. --- Recessions. --- Reduced form. --- Sample periodogram. --- Stock prices. --- Taylor series. --- Vech operator. --- Time series analysis
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This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quantum networks, networked economics, biological synchronization, and social networks. Focusing on graph theoretic methods for the analysis and synthesis of dynamic multiagent networks, the book presents a powerful new formalism and set of tools for networked systems. The book's three sections look at foundations, multiagent networks, and networks as systems. The authors give an overview of important ideas from graph theory, followed by a detailed account of the agreement protocol and its various extensions, including the behavior of the protocol over undirected, directed, switching, and random networks. They cover topics such as formation control, coverage, distributed estimation, social networks, and games over networks. And they explore intriguing aspects of viewing networks as systems, by making these networks amenable to control-theoretic analysis and automatic synthesis, by monitoring their dynamic evolution, and by examining higher-order interaction models in terms of simplicial complexes and their applications. The book will interest graduate students working in systems and control, as well as in computer science and robotics. It will be a standard reference for researchers seeking a self-contained account of system-theoretic aspects of multiagent networks and their wide-ranging applications. This book has been adopted as a textbook at the following universities: ? University of Stuttgart, Germany Royal Institute of Technology, Sweden Johannes Kepler University, Austria Georgia Tech, USA University of Washington, USA Ohio University, USA
Network analysis (Planning) --- Multiagent systems --- Agent-based model (Computer software) --- MASs (Multiagent systems) --- Multi-agent systems --- Systems, Multiagent --- Intelligent agents (Computer software) --- Project networks --- Planning --- System analysis --- Graphic methods. --- Mathematical models. --- Mathematical models --- Graphic methods --- Addition. --- Adjacency matrix. --- Algebraic graph theory. --- Algorithm. --- Automorphism. --- Bipartite graph. --- Cardinality. --- Cartesian product. --- Circulant graph. --- Combinatorics. --- Complete graph. --- Computation. --- Connectivity (graph theory). --- Controllability. --- Convex combination. --- Corollary. --- Cycle graph (algebra). --- Cycle space. --- Degree (graph theory). --- Degree matrix. --- Diagonal matrix. --- Diameter. --- Differentiable function. --- Dimension. --- Directed graph. --- Division by zero. --- Dynamical system. --- Eigenvalues and eigenvectors. --- Equilibrium point. --- Estimation. --- Estimator. --- Existential quantification. --- Extremal graph theory. --- Graph (discrete mathematics). --- Graph theory. --- Identity matrix. --- Incidence matrix. --- Information exchange. --- Initial condition. --- Interconnection. --- Iteration. --- Kalman filter. --- Kronecker product. --- LTI system theory. --- LaSalle's invariance principle. --- Laplacian matrix. --- Least squares. --- Line graph. --- Linear map. --- Lipschitz continuity. --- Lyapunov function. --- Lyapunov stability. --- Markov chain. --- Mathematical optimization. --- Matrix exponential. --- Measurement. --- Multi-agent system. --- Nash equilibrium. --- Natural number. --- Network topology. --- Nonnegative matrix. --- Notation. --- Observability. --- Optimal control. --- Optimization problem. --- Pairwise. --- Parameter. --- Path graph. --- Permutation matrix. --- Permutation. --- Positive semidefinite. --- Positive-definite matrix. --- Probability. --- Quantity. --- Random graph. --- Random variable. --- Rate of convergence. --- Requirement. --- Result. --- Robotics. --- Scientific notation. --- Sensor. --- Sign (mathematics). --- Simplicial complex. --- Special case. --- Spectral graph theory. --- Stochastic matrix. --- Strongly connected component. --- Subset. --- Summation. --- Supergraph. --- Symmetric matrix. --- Systems theory. --- Theorem. --- Theory. --- Unit interval. --- Upper and lower bounds. --- Variable (mathematics). --- Vector space. --- Without loss of generality.
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This famous book was the first treatise on Lie groups in which a modern point of view was adopted systematically, namely, that a continuous group can be regarded as a global object. To develop this idea to its fullest extent, Chevalley incorporated a broad range of topics, such as the covering spaces of topological spaces, analytic manifolds, integration of complete systems of differential equations on a manifold, and the calculus of exterior differential forms. The book opens with a short description of the classical groups: unitary groups, orthogonal groups, symplectic groups, etc. These special groups are then used to illustrate the general properties of Lie groups, which are considered later. The general notion of a Lie group is defined and correlated with the algebraic notion of a Lie algebra; the subgroups, factor groups, and homomorphisms of Lie groups are studied by making use of the Lie algebra. The last chapter is concerned with the theory of compact groups, culminating in Peter-Weyl's theorem on the existence of representations. Given a compact group, it is shown how one can construct algebraically the corresponding Lie group with complex parameters which appears in the form of a certain algebraic variety (associated algebraic group). This construction is intimately related to the proof of the generalization given by Tannaka of Pontrjagin's duality theorem for Abelian groups. The continued importance of Lie groups in mathematics and theoretical physics make this an indispensable volume for researchers in both fields.
Continuous groups. --- Additive group. --- Adjoint representation. --- Algebra over a field. --- Algebraic extension. --- Algebraic variety. --- Algebraically closed field. --- Analytic function. --- Analytic manifold. --- Automorphism. --- Axiom of countability. --- Ball (mathematics). --- Cardinal number. --- Characteristic polynomial. --- Coefficient. --- Commutator subgroup. --- Complex number. --- Connected component (graph theory). --- Continuous function (set theory). --- Continuous function. --- Coordinate system. --- Coset. --- Countable set. --- Covering group. --- Covering space. --- Differential algebra. --- Differential calculus. --- Differential form. --- Differential of a function. --- Dual space. --- Eigenvalues and eigenvectors. --- Endomorphism. --- Equivalence class. --- Existential quantification. --- Exponential function. --- Exterior algebra. --- Fundamental group. --- Galois group. --- General topology. --- Geometry. --- Group (mathematics). --- Group theory. --- Hermitian matrix. --- Homeomorphism. --- Homogeneous space. --- Homomorphism. --- Homotopy group. --- Identity element. --- Identity matrix. --- Infinitesimal transformation. --- Integer. --- Invariant subspace. --- Irreducible representation. --- Kronecker product. --- Lie algebra. --- Lie group. --- Linear function. --- Linear map. --- Linear space (geometry). --- Linear subspace. --- Linearization. --- Locally connected space. --- Manifold. --- Mathematical induction. --- Matrix exponential. --- Modular arithmetic. --- Module (mathematics). --- Monodromy. --- Morphism. --- Open set. --- Orthogonal group. --- Parametric equation. --- Permutation. --- Power series. --- Projective plane. --- Real number. --- Regular matrix. --- Representation theory. --- Riemann surface. --- Simply connected space. --- Skew-symmetric matrix. --- Special case. --- Subalgebra. --- Subgroup. --- Submanifold. --- Subset. --- Summation. --- Symplectic geometry. --- Symplectic group. --- Tangent space. --- Theorem. --- Topological group. --- Topological space. --- Topology. --- Trigonometric polynomial. --- Union (set theory). --- Uniqueness theorem. --- Unitary group. --- Unitary matrix. --- Variable (mathematics). --- Vector space.
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