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Distributed control of robotic networks [[electronic resource] ] : a mathematical approach to motion coordination algorithms / / Francesco Bullo, Jorge Cortés, Sonia Martínez
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
Opac: Controlla la disponibilità qui
Matrices, moments, and quadrature with applications [[electronic resource] /] / Gene H. Golub and Gerard Meurant
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
Opac: Controlla la disponibilità qui
Self-Regularity : A New Paradigm for Primal-Dual Interior-Point Algorithms / / Jiming Peng, Cornelis Roos, Tamás Terlaky
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
Opac: Controlla la disponibilità qui
The traveling salesman problem [[electronic resource] ] : a computational study / / David L. Applegate ... [et al.]
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
Opac: Controlla la disponibilità qui
The traveling salesman problem : a computational study / / David L. Applegate ... [et al.]
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
Opac: Controlla la disponibilità qui