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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
Robust optimization [[electronic resource] /] / Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
Robust optimization [[electronic resource] /] / Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
Autore Ben-Tal A
Edizione [Course Book]
Pubbl/distr/stampa Princeton, NJ, : Princeton University Press, c2009
Descrizione fisica 1 online resource (565 p.)
Disciplina 519.6
Altri autori (Persone) El GhaouiLaurent
NemirovskiĭArkadiĭ Semenovich
Collana Princeton Series in Applied Mathematics
Soggetto topico Robust optimization
Linear programming
Soggetto non controllato 0O
Accuracy and precision
Additive model
Almost surely
Approximation algorithm
Approximation
Best, worst and average case
Bifurcation theory
Big O notation
Candidate solution
Central limit theorem
Chaos theory
Coefficient
Computational complexity theory
Constrained optimization
Convex hull
Convex optimization
Convex set
Cumulative distribution function
Curse of dimensionality
Decision problem
Decision rule
Degeneracy (mathematics)
Diagram (category theory)
Duality (optimization)
Dynamic programming
Exponential function
Feasible region
Floor and ceiling functions
For All Practical Purposes
Free product
Ideal solution
Identity matrix
Inequality (mathematics)
Infimum and supremum
Integer programming
Law of large numbers
Likelihood-ratio test
Linear dynamical system
Linear inequality
Linear map
Linear matrix inequality
Linear programming
Linear regression
Loss function
Margin classifier
Markov chain
Markov decision process
Mathematical optimization
Max-plus algebra
Maxima and minima
Multivariate normal distribution
NP-hardness
Norm (mathematics)
Normal distribution
Optimal control
Optimization problem
Orientability
P versus NP problem
Pairwise
Parameter
Parametric family
Probability distribution
Probability
Proportionality (mathematics)
Quantity
Random variable
Relative interior
Robust control
Robust decision-making
Robust optimization
Semi-infinite
Sensitivity analysis
Simple set
Singular value
Skew-symmetric matrix
Slack variable
Special case
Spherical model
Spline (mathematics)
State variable
Stochastic calculus
Stochastic control
Stochastic optimization
Stochastic programming
Stochastic
Strong duality
Support vector machine
Theorem
Time complexity
Uncertainty
Uniform distribution (discrete)
Unimodality
Upper and lower bounds
Variable (mathematics)
Virtual displacement
Weak duality
Wiener filter
With high probability
Without loss of generality
ISBN 1-282-25928-8
9786612259289
1-4008-3105-9
Classificazione SK 870
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Preface -- Part I. Robust Linear Optimization -- Chapter One. Uncertain Linear Optimization Problems and their Robust Counterparts -- Chapter Two. Robust Counterpart Approximations of Scalar Chance Constraints -- Chapter Three. Globalized Robust Counterparts of Uncertain LO Problems -- Chapter Four. More on Safe Tractable Approximations of Scalar Chance Constraints -- Part II. Robust Conic Optimization -- Chapter Five. Uncertain Conic Optimization: The Concepts -- Chapter Six. Uncertain Conic Quadratic Problems with Tractable RCs -- Chapter Seven. Approximating RCs of Uncertain Conic Quadratic Problems -- Chapter Eight. Uncertain Semidefinite Problems with Tractable RCs -- Chapter Nine. Approximating RCs of Uncertain Semidefinite Problems -- Chapter Ten. Approximating Chance Constrained CQIs and LMIs -- Chapter Eleven. Globalized Robust Counterparts of Uncertain Conic Problems -- Chapter Twelve. Robust Classi¯cation and Estimation -- Part III. Robust Multi-Stage Optimization -- Chapter Thirteen. Robust Markov Decision Processes -- Chapter Fourteen. Robust Adjustable Multistage Optimization -- Part IV. Selected Applications -- Chapter Fifteen. Selected Applications -- Appendix A: Notation and Prerequisites -- Appendix B: Some Auxiliary Proofs -- Appendix C: Solutions to Selected Exercises -- Bibliography -- Index
Record Nr. UNINA-9910778219003321
Ben-Tal A  
Princeton, NJ, : Princeton University Press, c2009
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