Bennett Janine (54 results)

Condition: very_good. Book has little sign of wear or use.

Paperback. Condition: Very Good. Satori Volume 1 No. 2 Fall, 1988 edited by Pat Sims and Gary Green. Q & A with Scott spencer. Prose piece by Mara Crimmins. Cartoon by Edwin Torres & Jeff Siegel. Fiction by E. B. Stein. Poetry by Janine Pommy Vega, Cynde Gregory, Bennett Lieverman and a collaborsation of art and poetry by Ernest Frazier and Mikhail Horowitz. 20 pages, paper with stiff cover. Black and white reproductions. 11" x 8 1/2". Very good condition.

Softcover. Condition: Fine. First Edition. Fine red paperback. 79 pages, unmarked. Nathan McClain, Kendall Darfler, Travis Lau, Kevin Mosby, Ariel Kusby, Gabriel Malikian, Armando Cortes, Theo Schear, Phillippe De Sablet, Jessica Lin, Lauren West, Eleanor Bennett, Janine Adelberg, Jessie McCurdy; YARD SALE U2U; 8vo 8" - 9" tall; 79 pages.

Soft cover. Condition: Very Good. 1st edition. VG+. 8vo, 32pp, stapled wrappers. An impressive avant-garde mag from 1977 NYC. Unmarked copy, light outer wear. Not Signed.

Soft cover. Condition: Fine. 1st edition. Fine (as new). 4to, 80pp, printed wrappers. Includes work by a range of accomplished contributors. Not Signed.

Condition: New. pp. 288.

Condition: New. In.

Condition: New.

Condition: New.

Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Condition: New. In.

Condition: New.

Condition: New.

Condition: New.

Condition: New. In.

Condition: New. In.

Taschenbuch. Condition: Neu. Neuware -This book provides an overview of the emerging field of in situ visualization, i.e. visualizing simulation data as it is generated. In situ visualization is a processing paradigm in response to recent trends in the development of high-performance computers. It has great promise in its ability to access increased temporal resolution and leverage extensive computational power. However, the paradigm also is widely viewed as limiting when it comes to exploration-oriented use cases. Furthermore, it will require visualization systems to become increasingly complex and constrained in usage. As research efforts on in situ visualization are growing, the state of the art and best practices are rapidly maturing.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 476 pp. Englisch.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an overview of the emerging field of in situ visualization, i.e. visualizing simulationdataas it is generated. In situ visualization is aprocessing paradigm in response to recent trends in the development of high-performance computers. It has great promise in its ability toaccess increased temporal resolution and leverage extensive computational power. However, the paradigm also is widely viewed as limiting when itcomes to exploration-oriented use cases. Furthermore, it will require visualization systems to become increasingly complex and constrained in usage. Asresearch efforts on in situ visualization are growing, the state of the art and best practices are rapidly maturing.Specifically, this book contains chapters that reflect state-of-the-art research results and best practices in the area of in situ visualization. Our targetaudience are researchers and practitioners from the areas of mathematics computational science, high-performance computing, and computer science thatwork on or with in situ techniques, or desire to do so in future.

Paperback. Condition: Brand New. 478 pages. 9.25x6.10x0.96 inches. In Stock.

Condition: New.

Condition: New.

Condition: New. pp. 311.

Paperback. Condition: Like New. Like New. book.

Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Taschenbuch. Condition: Neu. Neuware -This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenges as well as detail solutions to the analysis of extreme scale data.The book presents new methods that leverage the mutual strengths of both topological and statistical techniques to support the management, analysis, and visualization of complex data. It covers both theory and application and provides readers with an overview of important key concepts and the latest research trends.Coverage in the book includes multi-variate and/or high-dimensional analysis techniques, feature-based statistical methods, combinatorial algorithms, scalable statistics algorithms, scalar and vector field topology, and multi-scale representations. In addition, the book details algorithms that are broadly applicable and can be used by application scientists to glean insight from a wide range of complex data sets.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 316 pp. Englisch.

Buch. Condition: Neu. Neuware -This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenges as well as detail solutions to the analysis of extreme scale data.The book presents new methods that leverage the mutual strengths of both topological and statistical techniques to support the management, analysis, and visualization of complex data. It covers both theory and application and provides readers with an overview of important key concepts and the latest research trends.Coverage in the book includes multi-variate and/or high-dimensional analysis techniques, feature-based statistical methods, combinatorial algorithms, scalable statistics algorithms, scalar and vector field topology, and multi-scale representations. In addition, the book details algorithms that are broadly applicable and can be used by application scientists to glean insight from a wide range of complex data sets.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 316 pp. Englisch.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenges as well as detail solutions to the analysis of extreme scale data.The book presents new methods that leverage the mutual strengths of both topological and statistical techniques to support the management, analysis, and visualization of complex data. It covers both theory and application and provides readers with an overview of important key concepts and the latest research trends.Coverage in the book includes multi-variate and/or high-dimensional analysis techniques, feature-based statistical methods, combinatorial algorithms, scalable statistics algorithms, scalar and vector field topology, and multi-scale representations. In addition, the book details algorithms that are broadly applicable and can be used by application scientists to glean insight from a wide range of complex data sets.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenges as well as detail solutions to the analysis of extreme scale data.The book presents new methods that leverage the mutual strengths of both topological and statistical techniques to support the management, analysis, and visualization of complex data. It covers both theory and application and provides readers with an overview of important key concepts and the latest research trends.Coverage in the book includes multi-variate and/or high-dimensional analysis techniques, feature-based statistical methods, combinatorial algorithms, scalable statistics algorithms, scalar and vector field topology, and multi-scale representations. In addition, the book details algorithms that are broadly applicable and can be used by application scientists to glean insight from a wide range of complex data sets.

Buch. Condition: Neu. Neuware -This book provides an overview of the emerging field of in situ visualization, i.e. visualizing simulation data as it is generated. In situ visualization is a processing paradigm in response to recent trends in the development of high-performance computers. It has great promise in its ability to access increased temporal resolution and leverage extensive computational power. However, the paradigm also is widely viewed as limiting when it comes to exploration-oriented use cases. Furthermore, it will require visualization systems to become increasingly complex and constrained in usage. As research efforts on in situ visualization are growing, the state of the art and best practices are rapidly maturing.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 476 pp. Englisch.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an overview of the emerging field of in situ visualization, i.e. visualizing simulationdataas it is generated. In situ visualization is aprocessing paradigm in response to recent trends in the development of high-performance computers. It has great promise in its ability toaccess increased temporal resolution and leverage extensive computational power. However, the paradigm also is widely viewed as limiting when itcomes to exploration-oriented use cases. Furthermore, it will require visualization systems to become increasingly complex and constrained in usage. Asresearch efforts on in situ visualization are growing, the state of the art and best practices are rapidly maturing.Specifically, this book contains chapters that reflect state-of-the-art research results and best practices in the area of in situ visualization. Our targetaudience are researchers and practitioners from the areas of mathematics computational science, high-performance computing, and computer science thatwork on or with in situ techniques, or desire to do so in future.