top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Probability in Social Science : Seven Expository Units Illustrating the Use of Probability Methods and Models, with Exercises, and Bibliographies to Guide Further Reading in the Social Science and Mathematics Literatures / Samuel Goldberg
Probability in Social Science : Seven Expository Units Illustrating the Use of Probability Methods and Models, with Exercises, and Bibliographies to Guide Further Reading in the Social Science and Mathematics Literatures / Samuel Goldberg
Autore Goldberg, Samuel I.
Pubbl/distr/stampa Boston, : Birkhäuser, 1983
Descrizione fisica xii, 120 p. ; 24 cm
Soggetto topico 60-XX - Probability theory and stochastic processes [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
91Cxx - Social and behavioral sciences: general topics [MSC 2020]
90C39 - Dynamic programming [MSC 2020]
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0253794
Goldberg, Samuel I.  
Boston, : Birkhäuser, 1983
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Separable Optimization : Theory and Methods / Stefan M. Stefanov
Separable Optimization : Theory and Methods / Stefan M. Stefanov
Autore Stefanov, Stefan M.
Edizione [2. ed]
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xvii, 356 p. : ill. ; 24 cm
Soggetto topico 90C25 - Convex programming [MSC 2020]
52A41 - Convex functions and convex programs in convex geometry [MSC 2020]
90C30 - Nonlinear programming [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
90C39 - Dynamic programming [MSC 2020]
90C59 - Approximation methods and heuristics in mathematical programming [MSC 2020]
52B12 - Special polytopes (linear programming, centrally symmetric, etc.) [MSC 2020]
Soggetto non controllato Algorithms
Approximation
Bounded variables
Chebyshev approximation
Convex analysis
Convex programming
Dynamic Programming
Knapsack polytope
Knapsack problem
Linear optimization
Mathematical programming
Nonlinear transportation problem
Operations Research
Saddle points Lagrangian
Separable optimization
Separable programming
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0275284
Stefanov, Stefan M.  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Wave Propagation : An Invariant Imbedding Approach / Richard Bellman, Ramabhadra Vasudevan
Wave Propagation : An Invariant Imbedding Approach / Richard Bellman, Ramabhadra Vasudevan
Autore Bellman, Richard E.
Pubbl/distr/stampa Dordrecht, : D. Reidel, 1986
Descrizione fisica xiv, 367 p. ; 24 cm
Altri autori (Persone) Vasudevan, Ramabhadra
Soggetto topico 65-XX - Numerical analysis [MSC 2020]
49L20 - Dynamic programming in optimal control and differential games [MSC 2020]
35L05 - Wave equation [MSC 2020]
65M60 - Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs [MSC 2020]
90C39 - Dynamic programming [MSC 2020]
Soggetto non controllato Approximation
Differential equations
Eigenvalues
Electromagnetic waves
Maximum
Potentials
Programming
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0266343
Bellman, Richard E.  
Dordrecht, : D. Reidel, 1986
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui