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Conjugate Direction Methods in Optimization / Magnus R. Hestenes
Conjugate Direction Methods in Optimization / Magnus R. Hestenes
Autore Hestenes, Magnus R.
Pubbl/distr/stampa New York, : Springer, 1980
Descrizione fisica x, 325 p. ; 24 cm
Soggetto topico 49-XX - Calculus of variations and optimal control; optimization [MSC 2020]
65K10 - Numerical optimization and variational techniques [MSC 2020]
90C20 - Quadratic programming [MSC 2020]
90C52 - Methods of reduced gradient type [MSC 2020]
Soggetto non controllato Algorithms
Mathematica
Method of conjugate directions
Numerical Analysis
Optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0268318
Hestenes, Magnus R.  
New York, : Springer, 1980
Materiale a stampa
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Conjugate Direction Methods in Optimization / Magnus R. Hestenes
Conjugate Direction Methods in Optimization / Magnus R. Hestenes
Autore Hestenes, Magnus R.
Pubbl/distr/stampa New York, : Springer, 1980
Descrizione fisica x, 325 p. ; 24 cm
Soggetto topico 49-XX - Calculus of variations and optimal control; optimization [MSC 2020]
65K10 - Numerical optimization and variational techniques [MSC 2020]
90C20 - Quadratic programming [MSC 2020]
90C52 - Methods of reduced gradient type [MSC 2020]
Soggetto non controllato Algorithms
Mathematica
Method of Conjugate Directions
Numerical Analysis
Optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Shortly after the end of World War II high-speed digital computing machines were being developed. It was clear that the mathematical aspects of com­ putation needed to be reexamined in order to make efficient use of high-speed digital computers for mathematical computations. Accordingly, under the leadership of Min a Rees, John Curtiss, and others, an Institute for Numerical Analysis was set up at the University of California at Los Angeles under the sponsorship of the National Bureau of Standards. A similar institute was formed at the National Bureau of Standards in Washington, D. C. In 1949 J. Barkeley Rosser became Director of the group at UCLA for a period of two years. During this period we organized a seminar on the study of solu­ tions of simultaneous linear equations and on the determination of eigen­ values. G. Forsythe, W. Karush, C. Lanczos, T. Motzkin, L. J. Paige, and others attended this seminar. We discovered, for example, that even Gaus­ sian elimination was not well understood from a machine point of view and that no effective machine oriented elimination algorithm had been developed. During this period Lanczos developed his three-term relationship and I had the good fortune of suggesting the method of conjugate gradients. We dis­ covered afterward that the basic ideas underlying the two procedures are essentially the same. The concept of conjugacy was not new to me. In a joint paper with G. D.
Record Nr. UNICAMPANIA-VAN00268318
Hestenes, Magnus R.  
New York, : Springer, 1980
Materiale a stampa
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Domain decomposition methods in optimal control of partial differential equations / John E. Lagnese, Günter Leugering
Domain decomposition methods in optimal control of partial differential equations / John E. Lagnese, Günter Leugering
Autore Lagnese, John E.
Pubbl/distr/stampa Basel, : Birkhaüser, 2004
Descrizione fisica XIII, 443 p. ; 24 cm.
Altri autori (Persone) Leugering, Günter
Soggetto topico 35J25 - Boundary value problems for second-order elliptic equations [MSC 2020]
65K10 - Numerical optimization and variational techniques [MSC 2020]
49K20 - Optimality conditions for problems involving partial differential equations [MSC 2020]
49J20 - Existence theories for optimal control problems involving partial differential equations [MSC 2020]
90C20 - Quadratic programming [MSC 2020]
35L10 - Second-order hyperbolic equations [MSC 2020]
34K10 - Boundary value problems for functional-differential equations [MSC 2020]
49M27 - Decomposition methods [MSC 2020]
37N35 - Dynamical systems in control [MSC 2020]
65M55 - Multigrid methods; domain decomposition for initial value and initial-boundary value problems involving PDEs [MSC 2020]
ISBN 978-37-643-2194-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0086355
Lagnese, John E.  
Basel, : Birkhaüser, 2004
Materiale a stampa
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Domain decomposition methods in optimal control of partial differential equations / John E. Lagnese, Günter Leugering
Domain decomposition methods in optimal control of partial differential equations / John E. Lagnese, Günter Leugering
Autore Lagnese, John E.
Pubbl/distr/stampa Basel, : Birkhaüser, 2004
Descrizione fisica XIII, 443 p. ; 24 cm
Altri autori (Persone) Leugering, Günter
Soggetto topico 35J25 - Boundary value problems for second-order elliptic equations [MSC 2020]
65K10 - Numerical optimization and variational techniques [MSC 2020]
49K20 - Optimality conditions for problems involving partial differential equations [MSC 2020]
49J20 - Existence theories for optimal control problems involving partial differential equations [MSC 2020]
90C20 - Quadratic programming [MSC 2020]
35L10 - Second-order hyperbolic equations [MSC 2020]
34K10 - Boundary value problems for functional-differential equations [MSC 2020]
49M27 - Decomposition methods [MSC 2020]
37N35 - Dynamical systems in control [MSC 2020]
65M55 - Multigrid methods; domain decomposition for initial value and initial-boundary value problems involving PDEs [MSC 2020]
ISBN 978-37-643-2194-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0086355
Lagnese, John E.  
Basel, : Birkhaüser, 2004
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Domain decomposition methods in optimal control of partial differential equations / John E. Lagnese, Günter Leugering
Domain decomposition methods in optimal control of partial differential equations / John E. Lagnese, Günter Leugering
Autore Lagnese, John E.
Pubbl/distr/stampa Basel, : Birkhaüser, 2004
Descrizione fisica XIII, 443 p. ; 24 cm
Altri autori (Persone) Leugering, Günter
Soggetto topico 34K10 - Boundary value problems for functional-differential equations [MSC 2020]
35J25 - Boundary value problems for second-order elliptic equations [MSC 2020]
35L10 - Second-order hyperbolic equations [MSC 2020]
37N35 - Dynamical systems in control [MSC 2020]
49J20 - Existence theories for optimal control problems involving partial differential equations [MSC 2020]
49K20 - Optimality conditions for problems involving partial differential equations [MSC 2020]
49M27 - Decomposition methods [MSC 2020]
65K10 - Numerical optimization and variational techniques [MSC 2020]
65M55 - Multigrid methods; domain decomposition for initial value and initial-boundary value problems involving PDEs [MSC 2020]
90C20 - Quadratic programming [MSC 2020]
ISBN 978-37-643-2194-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00086355
Lagnese, John E.  
Basel, : Birkhaüser, 2004
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Gems of combinatorial optimization and graph algorithms / Andreas S. Schulz ... [et al.] editors
Gems of combinatorial optimization and graph algorithms / Andreas S. Schulz ... [et al.] editors
Pubbl/distr/stampa [Cham], : Springer, 2015
Descrizione fisica X, 150 p. : ill. ; 24 cm
Soggetto topico 90C25 - Convex programming [MSC 2020]
90C20 - Quadratic programming [MSC 2020]
05C85 - Graph algorithms (graph-theoretic aspects) [MSC 2020]
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
90C27 - Combinatorial optimization [MSC 2020]
05C90 - Applications of graph theory [MSC 2020]
Soggetto non controllato Advanced topics in discrete mathematics
Algorithmic game theory
Combinatorics
Graph algorithms and network analysis
Lectures in combinatorial optimization
Sequencing and scheduling
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0113868
[Cham], : Springer, 2015
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Gems of combinatorial optimization and graph algorithms / Andreas S. Schulz ... [et al.] editors
Gems of combinatorial optimization and graph algorithms / Andreas S. Schulz ... [et al.] editors
Pubbl/distr/stampa [Cham], : Springer, 2015
Descrizione fisica X, 150 p. : ill. ; 24 cm
Soggetto topico 00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
05C85 - Graph algorithms (graph-theoretic aspects) [MSC 2020]
05C90 - Applications of graph theory [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
90C20 - Quadratic programming [MSC 2020]
90C25 - Convex programming [MSC 2020]
90C27 - Combinatorial optimization [MSC 2020]
Soggetto non controllato Advanced Topics in Discrete Mathematics
Algorithmic Game Theory
Combinatorics
Graph algorithms and network analysis
Lectures in combinatorial optimization
Sequencing and scheduling
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Are you looking for new lectures for your course on algorithms, combinatorial optimization, or algorithmic game theory? Maybe you need a convenient source of relevant, current topics for a graduate student or advanced undergraduate student seminar? Or perhaps you just want an enjoyable look at some beautiful mathematical and algorithmic results, ideas, proofs, concepts, and techniques in discrete mathematics and theoretical computer science? Gems of Combinatorial Optimization and Graph Algorithms is a handpicked collection of up-to-date articles, carefully prepared by a select group of international experts, who have contributed some of their most mathematically or algorithmically elegant ideas. Topics include longest tours and Steiner trees in geometric spaces, cartograms, resource buying games, congestion games, selfish routing, revenue equivalence and shortest paths, scheduling, linear structures in graphs, contraction hierarchies, budgeted matching problems, and motifs in networks. This volume is aimed at readers with some familiarity of combinatorial optimization, and appeals to researchers, graduate students, and advanced undergraduate students alike.
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00113868
[Cham], : Springer, 2015
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Gems of combinatorial optimization and graph algorithms / Andreas S. Schulz ... [et al.] editors
Gems of combinatorial optimization and graph algorithms / Andreas S. Schulz ... [et al.] editors
Edizione [[Cham] : Springer, 2015]
Pubbl/distr/stampa X, 150 p., : ill. ; 24 cm
Descrizione fisica Pubblicazione in formato elettronico
Soggetto topico 90C25 - Convex programming [MSC 2020]
90C20 - Quadratic programming [MSC 2020]
05C85 - Graph algorithms (graph-theoretic aspects) [MSC 2020]
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
90C27 - Combinatorial optimization [MSC 2020]
05C90 - Applications of graph theory [MSC 2020]
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0113868
X, 150 p., : ill. ; 24 cm
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Introduction to the Theory of Nonlinear Optimization / Johannes Jahn
Introduction to the Theory of Nonlinear Optimization / Johannes Jahn
Autore Jahn, Johannes
Edizione [2. ed]
Pubbl/distr/stampa Berlin ; Heidelberg, : Springer, 1996
Descrizione fisica viii, 257 p. : ill. ; 24 cm
Soggetto topico 49-XX - Calculus of variations and optimal control; optimization [MSC 2020]
49J50 - Fréchet and Gateaux differentiability in optimization [MSC 2020]
49J52 - Nonsmooth analysis [MSC 2020]
49M37 - Numerical methods based on nonlinear programming [MSC 2020]
49N10 - Linear-quadratic optimal control problems [MSC 2020]
49N15 - Duality theory (optimization) [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
90C05 - Linear programming [MSC 2020]
90C20 - Quadratic programming [MSC 2020]
90C25 - Convex programming [MSC 2020]
90C26 - Nonconvex programming, global optimization [MSC 2020]
90C30 - Nonlinear programming [MSC 2020]
Soggetto non controllato Calculus
Control Theory
Linear Optimization
Nonlinear optimization
Optimal Control
Optimization
Optimization Theory
Vector optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00296013
Jahn, Johannes  
Berlin ; Heidelberg, : Springer, 1996
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Numerical optimization : theoretical and practical aspects / J. Frederic Bonnans ... [et al.]
Numerical optimization : theoretical and practical aspects / J. Frederic Bonnans ... [et al.]
Pubbl/distr/stampa Berlin, : Springer, 2003
Descrizione fisica XII, 419 p. : ill. ; 24 cm.
Soggetto topico 65-XX - Numerical analysis [MSC 2020]
90C05 - Linear programming [MSC 2020]
90C51 - Interior-point methods [MSC 2020]
90C20 - Quadratic programming [MSC 2020]
90C30 - Nonlinear programming [MSC 2020]
90C53 - Methods of quasi-Newton type [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
65K05 - Numerical mathematical programming methods [MSC 2020]
ISBN 8-3-540-00191-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0053065
Berlin, : Springer, 2003
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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