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1. |
Record Nr. |
UNINA9910423652103321 |
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Autore |
Barry Nancy K. |
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Titolo |
Faculty as Global Learners : Off-Campus Study at Liberal Arts Colleges / / Joan Gillespie, Dana Gross, Lisa Jasinski, Nancy K. Barry, Amanda M. Caleb, Verna Case, Brian Caton, Shiwei Chen, James J. Ebersole, Linda Horwitz, Susan Jaret McKinstry, L. DeAne Lagerquist, Chuck Lewis, Emily Margaretten, Bill Moseley, Kylie Quave, Milton Reigelman, Marcy Sacks, Michael A. Schneider, Claudena Skran, Stephen Volz |
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Pubbl/distr/stampa |
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Lever Press, 2020 |
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Amherst : , : Lever Press, , 2020 |
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©2020 |
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ISBN |
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Descrizione fisica |
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Classificazione |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from eBook information screen.. |
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Sommario/riassunto |
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"This co-authored collection offers valuable insights about the impact of leading off-campus study on faculty leaders' teaching, research, service, and overall well-being. Recognizing that faculty leaders are themselves global learners, the book addresses ways that liberal arts colleges can more effectively achieve their strategic goals for students' global learning by intentionally anticipating and supporting the needs of faculty leaders, as they grow and change. This volume offers key findings and recommendations to stimulate conversations among administrators, faculty, and staff about concrete actions they can explore and steps they can take on their campuses to both support faculty leaders of off-campus programs and advance strategic institutional goals for global learning. This collection includes transferrable pedagogical insights and the perspectives of faculty members who have led off-campus study programs in a variety of disciplines and geographic regions"-- |
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2. |
Record Nr. |
UNINA9910845095903321 |
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Autore |
Zaslavski Alexander J |
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Titolo |
Solutions of Fixed Point Problems with Computational Errors / / by Alexander J. Zaslavski |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (392 pages) |
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Collana |
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Springer Optimization and Its Applications, , 1931-6836 ; ; 210 |
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Disciplina |
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Soggetti |
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Mathematical optimization |
Operator theory |
Mathematics - Data processing |
Optimization |
Operator Theory |
Computational Mathematics and Numerical Analysis |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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1 - Introduction -- 2 - Iterative methods in a Hilbert space -- 3 - The Cimmino algorithm in a Hilbert space -- 4 - Dynamic string-averaging methods in Hilbert spaces -- 5 - Methods with remotest set control in a Hilbert space -- 6 - Algorithms based on unions of nonexpansive maps -- 7 - Inconsistent convex feasibility problems -- 8 - Split common fixed point problems. |
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Sommario/riassunto |
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The book is devoted to the study of approximate solutions of fixed point problems in the presence of computational errors. It begins with a study of approximate solutions of star-shaped feasibility problems in the presence of perturbations. The goal is to show the convergence of algorithms, which are known as important tools for solving convex feasibility problems and common fixed point problems. The text also presents studies of algorithms based on unions of nonexpansive maps, inconsistent convex feasibility problems, and split common fixed point problems. A number of algorithms are considered for solving convex feasibility problems and common fixed point problems. The book will be of interest for researchers and engineers working in optimization, |
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numerical analysis, and fixed point theory. It also can be useful in preparation courses for graduate students. The main feature of the book which appeals specifically to this audience is the study of the influence of computational errors for several important algorithms used for nonconvex feasibility problems. |
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