Greedy sparse approaches for homological coverage in location-unaware sensor networks / / by Terrence J. Moore |
Autore | Moore Terrence J. |
Pubbl/distr/stampa | Aberdeen Proving Ground, MD : , : US Army Research Laboratory, , December 2017 |
Descrizione fisica | 1 online resource (iv, 36 pages) : illustrations (chiefly color). |
Collana | ARL-TR |
Soggetto topico |
Sensor networks
Algebra, Homological Greedoids Sparse matrices |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910707092303321 |
Moore Terrence J. | ||
Aberdeen Proving Ground, MD : , : US Army Research Laboratory, , December 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Harry Markowitz [[electronic resource] ] : selected works / / edited by Harry M. Markowitz |
Autore | Markowitz H (Harry), <1927-> |
Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2008 |
Descrizione fisica | 1 online resource (720 p.) |
Disciplina | 330.9 |
Altri autori (Persone) | MarkowitzH <1927-> (Harry) |
Collana | World Scientific nobel laureate series |
Soggetto topico |
Investment analysis
Portfolio management Sparse matrices |
Soggetto genere / forma | Electronic books. |
ISBN |
1-282-44141-8
9786612441417 981-283-365-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Foreword; Contents; Acknowledgements; Chapter 1 Overview; Chapter 2 1952; Chapter 3 Rand [I] and The Cowles Foundation; Chapter 4 Rand [II] and CACI; Chapter 5 IBM's T. J. Watson Research Center; Chapter 6 Baruch College (CUNY) and Daiwa Securities; Chapter 7 Harry Markowitz Company |
Record Nr. | UNINA-9910456604403321 |
Markowitz H (Harry), <1927-> | ||
Singapore ; ; Hackensack, NJ, : World Scientific, c2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Harry Markowitz [[electronic resource] ] : selected works / / edited by Harry M. Markowitz |
Autore | Markowitz Harry M. <1927-2023.> |
Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2008 |
Descrizione fisica | 1 online resource (720 p.) |
Disciplina | 330.9 |
Altri autori (Persone) | MarkowitzHarry M. <1927-2023.> |
Collana | World Scientific nobel laureate series |
Soggetto topico |
Investment analysis
Portfolio management Sparse matrices |
ISBN |
1-282-44141-8
9786612441417 981-283-365-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Foreword; Contents; Acknowledgements; Chapter 1 Overview; Chapter 2 1952; Chapter 3 Rand [I] and The Cowles Foundation; Chapter 4 Rand [II] and CACI; Chapter 5 IBM's T. J. Watson Research Center; Chapter 6 Baruch College (CUNY) and Daiwa Securities; Chapter 7 Harry Markowitz Company |
Record Nr. | UNINA-9910780934503321 |
Markowitz Harry M. <1927-2023.> | ||
Singapore ; ; Hackensack, NJ, : World Scientific, c2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Krylov subspace methods with application in incompressible fluid flow solvers / / Iman Farahbakhsh |
Autore | Farahbakhsh Iman <1984-> |
Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , 2020 |
Descrizione fisica | 1 online resource (257 pages) |
Disciplina | 512.9434 |
Soggetto topico |
Sparse matrices
Navier-Stokes equations - Numerical solutions Fluid dynamics - Mathematical models |
Soggetto genere / forma | Electronic books. |
ISBN |
1-119-61870-3
1-119-61869-X 1-119-61873-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910555111603321 |
Farahbakhsh Iman <1984-> | ||
Hoboken, NJ : , : Wiley, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Krylov subspace methods with application in incompressible fluid flow solvers / / Iman Farahbakhsh |
Autore | Farahbakhsh Iman <1984-> |
Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , 2020 |
Descrizione fisica | 1 online resource (257 pages) |
Disciplina | 512.9434 |
Soggetto topico |
Sparse matrices
Navier-Stokes equations - Numerical solutions Fluid dynamics - Mathematical models |
ISBN |
1-119-61870-3
1-119-61869-X 1-119-61873-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Discretization of partial differential equations and formation of sparse matrices -- Theory of Krylov subspace methods -- Numerical analysis of Krylov subspace methods -- Solution of incompressible Navier-Stokes equations. |
Record Nr. | UNINA-9910830931903321 |
Farahbakhsh Iman <1984-> | ||
Hoboken, NJ : , : Wiley, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Rank-deficient and discrete ill-posed problems : numerical aspects of linear inversion / Per Christian Hansen |
Autore | Hansen, Per Christian |
Pubbl/distr/stampa | Philadelphia : SIAM, c1998 |
Descrizione fisica | xvi, 247 p. : ill. ; 26 cm |
Disciplina | 512.942 |
Collana | SIAM monographs on mathematical modeling and computation |
Soggetto topico |
Equations, Simultaneous - Numerical solutions
Iterative methods (Mathematics) Sparse matrices |
ISBN | 0898714036 |
Classificazione |
AMS 65F05
LC QA218.H38 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991002520099707536 |
Hansen, Per Christian | ||
Philadelphia : SIAM, c1998 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Salento | ||
|
Simultaneous localization and mapping [[electronic resource] ] : exactly sparse information filters / / Zhan Wang, Shoudong Huang, Gamini Dissanayake |
Autore | Wang Zhan |
Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific, c2011 |
Descrizione fisica | 1 online resource (208 p.) |
Disciplina | 629.892637 |
Altri autori (Persone) |
HuangShoudong <1969->
DissanayakeGamini |
Collana | New frontiers in robotics |
Soggetto topico |
Mobile robots
Robots - Control systems Sparse matrices Robotics Mappings (Mathematics) |
Soggetto genere / forma | Electronic books. |
ISBN |
1-283-43379-6
9786613433794 981-4350-32-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; Preface; Acknowledgments; Chapter 1 Introduction; 1.1 The SLAM Problem and Its Applications; 1.1.1 Description of the SLAM Problem; 1.1.2 Applications of SLAM; 1.2 Summary of SLAM Approaches; 1.2.1 EKF/EIF based SLAM Approaches; 1.2.2 Other SLAM Approaches; 1.3 Key Properties of SLAM; 1.3.1 Observability; 1.3.2 EKF SLAM Convergence; 1.3.3 EKF SLAM Consistency; 1.4 Motivation; 1.5 Book Overview; Chapter 2 Sparse Information Filters in SLAM; 2.1 Information Matrix in the Full SLAM Formulation; 2.2 Information Matrix in the Conventional EIF SLAM Formulation
2.3 Meaning of Zero Off-diagonal Elements in Information Matrix2.4 Conditions for Achieving Exact Sparseness; 2.5 Strategies for Achieving Exact Sparseness; 2.5.1 Decoupling Localization and Mapping; 2.5.2 Using Local Submaps; 2.5.3 Combining Decoupling and Submaps; 2.6 Important Practical Issues in EIF SLAM; 2.7 Summary; Chapter 3 Decoupling Localization and Mapping; 3.1 The D-SLAM Algorithm; 3.1.1 Extracting Map Information from Observations; 3.1.2 Key Idea of D-SLAM; 3.1.3 Mapping; 3.1.4 Localization; 3.2 Structure of the Information Matrix in D-SLAM 3.3 Efficient State and Covariance Recovery3.3.1 Recovery Using the Preconditioned Conjugated Gradient (PCG) Method; 3.3.2 Recovery Using Complete Cholesky Factorization; 3.4 Implementation Issues; 3.4.1 Admissible Measurements; 3.4.2 Data Association; 3.5 Computer Simulations; 3.6 Experimental Evaluation; 3.6.1 Experiment in a Small Environment; 3.6.2 Experiment Using the Victoria Park Dataset; 3.7 Computational Complexity; 3.7.1 Storage; 3.7.2 Localization; 3.7.3 Mapping; 3.7.4 State and Covariance Recovery; 3.8 Consistency of D-SLAM; 3.9 Bibliographical Remarks; 3.10 Summary Chapter 4 D-SLAM Local Map Joining Filter4.1 Structure of D-SLAM Local Map Joining Filter; 4.1.1 State Vectors; 4.1.2 Relative Information Relating Feature Locations; 4.1.3 Combining Local Maps Using Relative Information; 4.2 Obtaining Relative Location Information in Local Maps; 4.2.1 Generating a Local Map; 4.2.2 Obtaining Relative Location Information in the Local Map; 4.3 Global Map Update; 4.3.1 Measurement Model; 4.3.2 Updating the Global Map; 4.3.3 Sparse Information Matrix; 4.4 Implementation Issues; 4.4.1 Robot Localization; 4.4.2 Data Association; 4.4.3 State and Covariance Recovery 4.4.4 When to Start a New Local Map4.5 Computational Complexity; 4.5.1 Storage; 4.5.2 Local Map Construction; 4.5.3 Global Map Update; 4.5.4 Rescheduling the Computational Effort; 4.6 Computer Simulations; 4.6.1 Simulation in a Small Area; 4.6.2 Simulation in a Large Area; 4.7 Experimental Evaluation; 4.8 Bibliographical Remarks; 4.9 Summary; Chapter 5 Sparse Local Submap Joining Filter; 5.1 Structure of Sparse Local Submap Joining Filter; 5.1.1 Input to SLSJF - Local Maps; 5.1.2 Output of SLSJF - One Global Map; 5.2 Fusing Local Maps into the Global Map 5.2.1 Adding XG(k+1)s into the Global Map |
Record Nr. | UNINA-9910464543603321 |
Wang Zhan | ||
Singapore ; ; Hackensack, N.J., : World Scientific, c2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Simultaneous localization and mapping [[electronic resource] ] : exactly sparse information filters / / Zhan Wang, Shoudong Huang, Gamini Dissanayake |
Autore | Wang Zhan |
Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific, c2011 |
Descrizione fisica | 1 online resource (208 p.) |
Disciplina | 629.892637 |
Altri autori (Persone) |
HuangShoudong <1969->
DissanayakeGamini |
Collana | New frontiers in robotics |
Soggetto topico |
Mobile robots
Robots - Control systems Sparse matrices Robotics Mappings (Mathematics) |
ISBN |
1-283-43379-6
9786613433794 981-4350-32-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; Preface; Acknowledgments; Chapter 1 Introduction; 1.1 The SLAM Problem and Its Applications; 1.1.1 Description of the SLAM Problem; 1.1.2 Applications of SLAM; 1.2 Summary of SLAM Approaches; 1.2.1 EKF/EIF based SLAM Approaches; 1.2.2 Other SLAM Approaches; 1.3 Key Properties of SLAM; 1.3.1 Observability; 1.3.2 EKF SLAM Convergence; 1.3.3 EKF SLAM Consistency; 1.4 Motivation; 1.5 Book Overview; Chapter 2 Sparse Information Filters in SLAM; 2.1 Information Matrix in the Full SLAM Formulation; 2.2 Information Matrix in the Conventional EIF SLAM Formulation
2.3 Meaning of Zero Off-diagonal Elements in Information Matrix2.4 Conditions for Achieving Exact Sparseness; 2.5 Strategies for Achieving Exact Sparseness; 2.5.1 Decoupling Localization and Mapping; 2.5.2 Using Local Submaps; 2.5.3 Combining Decoupling and Submaps; 2.6 Important Practical Issues in EIF SLAM; 2.7 Summary; Chapter 3 Decoupling Localization and Mapping; 3.1 The D-SLAM Algorithm; 3.1.1 Extracting Map Information from Observations; 3.1.2 Key Idea of D-SLAM; 3.1.3 Mapping; 3.1.4 Localization; 3.2 Structure of the Information Matrix in D-SLAM 3.3 Efficient State and Covariance Recovery3.3.1 Recovery Using the Preconditioned Conjugated Gradient (PCG) Method; 3.3.2 Recovery Using Complete Cholesky Factorization; 3.4 Implementation Issues; 3.4.1 Admissible Measurements; 3.4.2 Data Association; 3.5 Computer Simulations; 3.6 Experimental Evaluation; 3.6.1 Experiment in a Small Environment; 3.6.2 Experiment Using the Victoria Park Dataset; 3.7 Computational Complexity; 3.7.1 Storage; 3.7.2 Localization; 3.7.3 Mapping; 3.7.4 State and Covariance Recovery; 3.8 Consistency of D-SLAM; 3.9 Bibliographical Remarks; 3.10 Summary Chapter 4 D-SLAM Local Map Joining Filter4.1 Structure of D-SLAM Local Map Joining Filter; 4.1.1 State Vectors; 4.1.2 Relative Information Relating Feature Locations; 4.1.3 Combining Local Maps Using Relative Information; 4.2 Obtaining Relative Location Information in Local Maps; 4.2.1 Generating a Local Map; 4.2.2 Obtaining Relative Location Information in the Local Map; 4.3 Global Map Update; 4.3.1 Measurement Model; 4.3.2 Updating the Global Map; 4.3.3 Sparse Information Matrix; 4.4 Implementation Issues; 4.4.1 Robot Localization; 4.4.2 Data Association; 4.4.3 State and Covariance Recovery 4.4.4 When to Start a New Local Map4.5 Computational Complexity; 4.5.1 Storage; 4.5.2 Local Map Construction; 4.5.3 Global Map Update; 4.5.4 Rescheduling the Computational Effort; 4.6 Computer Simulations; 4.6.1 Simulation in a Small Area; 4.6.2 Simulation in a Large Area; 4.7 Experimental Evaluation; 4.8 Bibliographical Remarks; 4.9 Summary; Chapter 5 Sparse Local Submap Joining Filter; 5.1 Structure of Sparse Local Submap Joining Filter; 5.1.1 Input to SLSJF - Local Maps; 5.1.2 Output of SLSJF - One Global Map; 5.2 Fusing Local Maps into the Global Map 5.2.1 Adding XG(k+1)s into the Global Map |
Record Nr. | UNINA-9910788963203321 |
Wang Zhan | ||
Singapore ; ; Hackensack, N.J., : World Scientific, c2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The Sparse Fourier Transform : Theory and Practice |
Autore | Hassanieh Haitham |
Edizione | [1st ed.] |
Pubbl/distr/stampa | San Rafael : , : Morgan & Claypool Publishers, , 2018 |
Descrizione fisica | 1 online resource |
Disciplina | 515/.723 |
Collana | ACM books |
Soggetto topico |
Fourier transformations
Sparse matrices |
ISBN | 1-947487-04-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Intro -- Contents -- Preface -- 1. Introduction -- PART I. THEORY OF THE SPARSE FOURIER TRANSFORM -- 2. Preliminaries -- 3. Simple and Practical Algorithm -- 4. Optimizing Runtime Complexity -- 5. Optimizing Sample Complexity -- 6. Numerical Evaluation -- PART II. APPLICATIONS OF THE SPARSE FOURIER TRANSFORM -- 7. GHz-Wide Spectrum Sensing and Decoding -- 8. Faster GPS Synchronization -- 9. Light Field Reconstruction -- 10. Fast In-Vivo MRS Acquisition with Artifact Suppression -- 11. Fast Mu1ti-Dimensional NMR Acquisition and Processing -- 12. Conclusion -- A. Proofs -- B. The Optimality of the Exactly k-Sparse Algorithm 4.1 -- C. Lower Bound of the Sparse Fourier Transform in the General Case -- D. Efficient Constructions of Window Functions -- E. Sample Lower Bound for the Bernoulli Distribution -- F. Analysis of the QuickSync System -- G. A 0.75 Million Point Sparse Fourier Transform Chip -- References -- Author Biography. |
Record Nr. | UNINA-9910838231703321 |
Hassanieh Haitham | ||
San Rafael : , : Morgan & Claypool Publishers, , 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Sparse grids and applications - Munich 2018 / / Hans-Joachim Bungartz, Jochen Garcke and Dirk Pflüger, editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (268 pages) |
Disciplina | 519.4 |
Collana | Lecture notes in computational science and engineering |
Soggetto topico |
Numerical grid generation (Numerical analysis)
Sparse matrices Numerical analysis Matrius disperses Anàlisi numèrica |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 3-030-81362-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910552723703321 |
Cham, Switzerland : , : Springer, , [2021] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|