Distributed control of robotic networks [[electronic resource] ] : a mathematical approach to motion coordination algorithms / / Francesco Bullo, Jorge Cortés, Sonia Martínez |
Autore | Bullo Francesco |
Edizione | [Course Book] |
Pubbl/distr/stampa | Princeton, NJ, : Princeton University Press, 2009 |
Descrizione fisica | 1 online resource (333 p.) |
Disciplina | 629.8/9246 |
Altri autori (Persone) |
CortésJorge <1974->
MartínezSonia <1974-> |
Collana | Princeton series in applied mathematics |
Soggetto topico |
Robotics
Computer algorithms Robots - Control systems |
Soggetto non controllato |
1-center problem
Adjacency matrix Aggregate function Algebraic connectivity Algebraic topology (object) Algorithm Analysis of algorithms Approximation algorithm Asynchronous system Bellman–Ford algorithm Bifurcation theory Bounded set (topological vector space) Calculation Cartesian product Centroid Chebyshev center Circulant matrix Circumscribed circle Cluster analysis Combinatorial optimization Combinatorics Communication complexity Computation Computational complexity theory Computational geometry Computational model Computer simulation Computer vision Connected component (graph theory) Connectivity (graph theory) Consensus (computer science) Control function (econometrics) Differentiable function Dijkstra's algorithm Dimensional analysis Directed acyclic graph Directed graph Discrete time and continuous time Disk (mathematics) Distributed algorithm Doubly stochastic matrix Dynamical system Eigenvalues and eigenvectors Estimation Euclidean space Function composition Hybrid system Information theory Initial condition Instance (computer science) Invariance principle (linguistics) Invertible matrix Iteration Iterative method Kinematics Laplacian matrix Leader election Linear dynamical system Linear interpolation Linear programming Lipschitz continuity Lyapunov function Markov chain Mathematical induction Mathematical optimization Mobile robot Motion planning Multi-agent system Network model Network topology Norm (mathematics) Numerical integration Optimal control Optimization problem Parameter (computer programming) Partition of a set Percolation theory Permutation matrix Polytope Proportionality (mathematics) Quantifier (logic) Quantization (signal processing) Robustness (computer science) Scientific notation Sensor Set (mathematics) Simply connected space Simulation Simultaneous equations State space State variable Stochastic matrix Stochastic Strongly connected component Synchronous network Theorem Time complexity Topology Variable (mathematics) Vector field |
ISBN |
1-68015-897-X
1-282-45820-5 1-282-93575-5 9786612458200 9786612935756 1-4008-3147-4 0-691-14195-9 |
Classificazione | SK 880 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Frontmatter -- Contents -- Preface -- Chapter One. An introduction to distributed algorithms -- Chapter Two. Geometric models and optimization -- Chapter Three. Robotic network models and complexity notions -- Chapter Four. Connectivity maintenance and rendezvous -- Chapter Five. Deployment -- Chapter Six. Boundary estimation and tracking -- Bibliography -- Algorithm Index -- Subject Index -- Symbol Index |
Record Nr. | UNINA-9910781069103321 |
Bullo Francesco | ||
Princeton, NJ, : Princeton University Press, 2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Matrices, moments, and quadrature with applications [[electronic resource] /] / Gene H. Golub and Gerard Meurant |
Autore | Golub Gene H (Gene Howard), <1932-2007.> |
Edizione | [Course Book] |
Pubbl/distr/stampa | Princeton, N.J., : Princeton University Press, c2010 |
Descrizione fisica | 1 online resource (376 p.) |
Disciplina | 512.9434 |
Altri autori (Persone) | MeurantGérard A |
Collana | Princeton series in applied mathematics |
Soggetto topico |
Matrices
Numerical analysis |
Soggetto non controllato |
Algorithm
Analysis of algorithms Analytic function Asymptotic analysis Basis (linear algebra) Basis function Biconjugate gradient method Bidiagonal matrix Bilinear form Calculation Characteristic polynomial Chebyshev polynomials Coefficient Complex number Computation Condition number Conjugate gradient method Conjugate transpose Cross-validation (statistics) Curve fitting Degeneracy (mathematics) Determinant Diagonal matrix Dimension (vector space) Eigenvalues and eigenvectors Equation Estimation Estimator Exponential function Factorization Function (mathematics) Function of a real variable Functional analysis Gaussian quadrature Hankel matrix Hermite interpolation Hessenberg matrix Hilbert matrix Holomorphic function Identity matrix Interlacing (bitmaps) Inverse iteration Inverse problem Invertible matrix Iteration Iterative method Jacobi matrix Krylov subspace Laguerre polynomials Lanczos algorithm Linear differential equation Linear regression Linear subspace Logarithm Machine epsilon Matrix function Matrix polynomial Maxima and minima Mean value theorem Meromorphic function Moment (mathematics) Moment matrix Moment problem Monic polynomial Monomial Monotonic function Newton's method Numerical analysis Numerical integration Numerical linear algebra Orthogonal basis Orthogonal matrix Orthogonal polynomials Orthogonal transformation Orthogonality Orthogonalization Orthonormal basis Partial fraction decomposition Polynomial Preconditioner QR algorithm QR decomposition Quadratic form Rate of convergence Recurrence relation Regularization (mathematics) Rotation matrix Singular value Square (algebra) Summation Symmetric matrix Theorem Tikhonov regularization Trace (linear algebra) Triangular matrix Tridiagonal matrix Upper and lower bounds Variable (mathematics) Vector space Weight function |
ISBN |
1-282-45801-9
1-282-93607-7 9786612458019 1-4008-3388-4 |
Classificazione | SK 915 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Frontmatter -- Contents -- Preface -- PART 1. Theory -- Chapter 1. Introduction -- Chapter 2. Orthogonal Polynomials -- Chapter 3. Properties of Tridiagonal Matrices -- Chapter 4. The Lanczos and Conjugate Gradient Algorithms -- Chapter 5. Computation of the Jacobi Matrices -- Chapter 6. Gauss Quadrature -- Chapter 7. Bounds for Bilinear Forms uTƒ(A)v -- Chapter 8. Extensions to Nonsymmetric Matrices -- Chapter 9. Solving Secular Equations -- PART 2. Applications -- Chapter 10. Examples of Gauss Quadrature Rules -- Chapter 11. Bounds and Estimates for Elements of Functions of Matrices -- Chapter 12. Estimates of Norms of Errors in the Conjugate Gradient Algorithm -- Chapter 13. Least Squares Problems -- Chapter 14. Total Least Squares -- Chapter 15. Discrete Ill-Posed Problems -- Bibliography -- Index |
Record Nr. | UNINA-9910780861503321 |
Golub Gene H (Gene Howard), <1932-2007.> | ||
Princeton, N.J., : Princeton University Press, c2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Self-Regularity : A New Paradigm for Primal-Dual Interior-Point Algorithms / / Jiming Peng, Cornelis Roos, Tamás Terlaky |
Autore | Peng Jiming |
Edizione | [Course Book] |
Pubbl/distr/stampa | Princeton, NJ : , : Princeton University Press, , [2009] |
Descrizione fisica | 1 online resource (201 p.) |
Disciplina | 519.6 |
Collana | Princeton Series in Applied Mathematics |
Soggetto topico |
Interior-point methods
Mathematical optimization Programming (Mathematics) Civil & Environmental Engineering Engineering & Applied Sciences Operations Research |
Soggetto non controllato |
Accuracy and precision
Algorithm Analysis of algorithms Analytic function Associative property Barrier function Binary number Block matrix Combination Combinatorial optimization Combinatorics Complexity Conic optimization Continuous optimization Control theory Convex optimization Delft University of Technology Derivative Differentiable function Directional derivative Division by zero Dual space Duality (mathematics) Duality gap Eigenvalues and eigenvectors Embedding Equation Estimation Existential quantification Explanation Feasible region Filter design Function (mathematics) Implementation Instance (computer science) Invertible matrix Iteration Jacobian matrix and determinant Jordan algebra Karmarkar's algorithm Karush–Kuhn–Tucker conditions Line search Linear complementarity problem Linear function Linear programming Lipschitz continuity Local convergence Loss function Mathematical optimization Mathematician Mathematics Matrix function McMaster University Monograph Multiplication operator Newton's method Nonlinear programming Nonlinear system Notation Operations research Optimal control Optimization problem Parameter (computer programming) Parameter Pattern recognition Polyhedron Polynomial Positive semidefinite Positive-definite matrix Quadratic function Requirement Result Scientific notation Second derivative Self-concordant function Sensitivity analysis Sign (mathematics) Signal processing Simplex algorithm Simultaneous equations Singular value Smoothness Solution set Solver Special case Subset Suggestion Technical report Theorem Theory Time complexity Two-dimensional space Upper and lower bounds Variable (computer science) Variable (mathematics) Variational inequality Variational principle Without loss of generality Worst-case complexity Yurii Nesterov |
ISBN |
1-282-08760-6
9786612087608 1-4008-2513-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Frontmatter -- Contents -- Preface -- Acknowledgments -- Notation -- List of Abbreviations -- Chapter 1. Introduction and Preliminaries -- Chapter 2. Self-Regular Functions and Their Properties -- Chapter 3. Primal-Dual Algorithms for Linear Optimization Based on Self-Regular Proximities -- Chapter 4. Interior-Point Methods for Complementarity Problems Based on Self- Regular Proximities -- Chapter 5. Primal-Dual Interior-Point Methods for Semidefinite Optimization Based on Self-Regular Proximities -- Chapter 6. Primal-Dual Interior-Point Methods for Second-Order Conic Optimization Based on Self-Regular Proximities -- Chapter 7. Initialization: Embedding Models for Linear Optimization, Complementarity Problems, Semidefinite Optimization and Second-Order Conic Optimization -- Chapter 8. Conclusions -- References -- Index |
Record Nr. | UNINA-9910777727403321 |
Peng Jiming | ||
Princeton, NJ : , : Princeton University Press, , [2009] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The traveling salesman problem [[electronic resource] ] : a computational study / / David L. Applegate ... [et al.] |
Autore | Applegate David L |
Edizione | [Course Book] |
Pubbl/distr/stampa | Princeton, : Princeton University Press, c2006 |
Descrizione fisica | 1 online resource (606 p.) |
Disciplina | 511.6 |
Collana | Princeton series in applied mathematics |
Soggetto topico | Traveling salesman problem |
Soggetto non controllato |
AT&T Labs
Accuracy and precision Addition Algorithm Analysis of algorithms Applied mathematics Approximation algorithm Approximation Basic solution (linear programming) Best, worst and average case Bifurcation theory Big O notation CPLEX CPU time Calculation Chaos theory Column generation Combinatorial optimization Computation Computational resource Computer Connected component (graph theory) Connectivity (graph theory) Convex hull Cutting-plane method Delaunay triangulation Determinism Disjoint sets Dynamic programming Ear decomposition Engineering Enumeration Equation Estimation Euclidean distance Euclidean space Family of sets For loop Genetic algorithm George Dantzig Georgia Institute of Technology Greedy algorithm Hamiltonian path Hospitality Hypergraph Implementation Instance (computer science) Institute Integer Iteration Linear inequality Linear programming Mathematical optimization Mathematics Model of computation Neuroscience Notation Operations research Optimization problem Order by Pairwise Parameter (computer programming) Parity (mathematics) Percentage Polyhedron Polytope Pricing Princeton University Processing (programming language) Project Quantity Reduced cost Requirement Result Rice University Rutgers University Scientific notation Search algorithm Search tree Self-similarity Simplex algorithm Solution set Solver Source code Special case Stochastic Subroutine Subsequence Subset Summation Test set Theorem Theory Time complexity Trade-off Travelling salesman problem Tree (data structure) Upper and lower bounds Variable (computer science) Variable (mathematics) |
ISBN |
1-283-25611-8
9786613256119 1-4008-4110-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Front matter -- Contents -- Preface -- Chapter 1. The Problem -- Chapter 2. Applications -- Chapter 3. Dantzig, Fulkerson, and Johnson -- Chapter 4. History of TSP Computation -- Chapter 5. LP Bounds and Cutting Planes -- Chapter 6. Subtour Cuts and PQ-Trees -- Chapter 7. Cuts from Blossoms and Blocks -- Chapter 8. Combs from Consecutive Ones -- Chapter 9. Combs from Dominoes -- Chapter 10. Cut Metamorphoses -- Chapter 11. Local Cuts -- Chapter 12. Managing the Linear Programming Problems -- Chapter 13. The Linear Programming Solver Chapter 14. Branching -- Chapter 14. Branching -- Chapter 15. Tour Finding -- Chapter 16. Computation -- Chapter 17. The Road Goes On -- Bibliography -- Index |
Record Nr. | UNINA-9910789748903321 |
Applegate David L | ||
Princeton, : Princeton University Press, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The traveling salesman problem : a computational study / / David L. Applegate ... [et al.] |
Autore | Applegate David L |
Edizione | [Course Book] |
Pubbl/distr/stampa | Princeton, : Princeton University Press, c2006 |
Descrizione fisica | 1 online resource (606 p.) |
Disciplina | 511.6 |
Collana | Princeton series in applied mathematics |
Soggetto topico | Traveling salesman problem |
Soggetto non controllato |
AT&T Labs
Accuracy and precision Addition Algorithm Analysis of algorithms Applied mathematics Approximation algorithm Approximation Basic solution (linear programming) Best, worst and average case Bifurcation theory Big O notation CPLEX CPU time Calculation Chaos theory Column generation Combinatorial optimization Computation Computational resource Computer Connected component (graph theory) Connectivity (graph theory) Convex hull Cutting-plane method Delaunay triangulation Determinism Disjoint sets Dynamic programming Ear decomposition Engineering Enumeration Equation Estimation Euclidean distance Euclidean space Family of sets For loop Genetic algorithm George Dantzig Georgia Institute of Technology Greedy algorithm Hamiltonian path Hospitality Hypergraph Implementation Instance (computer science) Institute Integer Iteration Linear inequality Linear programming Mathematical optimization Mathematics Model of computation Neuroscience Notation Operations research Optimization problem Order by Pairwise Parameter (computer programming) Parity (mathematics) Percentage Polyhedron Polytope Pricing Princeton University Processing (programming language) Project Quantity Reduced cost Requirement Result Rice University Rutgers University Scientific notation Search algorithm Search tree Self-similarity Simplex algorithm Solution set Solver Source code Special case Stochastic Subroutine Subsequence Subset Summation Test set Theorem Theory Time complexity Trade-off Travelling salesman problem Tree (data structure) Upper and lower bounds Variable (computer science) Variable (mathematics) |
ISBN |
1-283-25611-8
9786613256119 1-4008-4110-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Front matter -- Contents -- Preface -- Chapter 1. The Problem -- Chapter 2. Applications -- Chapter 3. Dantzig, Fulkerson, and Johnson -- Chapter 4. History of TSP Computation -- Chapter 5. LP Bounds and Cutting Planes -- Chapter 6. Subtour Cuts and PQ-Trees -- Chapter 7. Cuts from Blossoms and Blocks -- Chapter 8. Combs from Consecutive Ones -- Chapter 9. Combs from Dominoes -- Chapter 10. Cut Metamorphoses -- Chapter 11. Local Cuts -- Chapter 12. Managing the Linear Programming Problems -- Chapter 13. The Linear Programming Solver Chapter 14. Branching -- Chapter 14. Branching -- Chapter 15. Tour Finding -- Chapter 16. Computation -- Chapter 17. The Road Goes On -- Bibliography -- Index |
Record Nr. | UNINA-9910812920303321 |
Applegate David L | ||
Princeton, : Princeton University Press, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|