Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization (Mathematics and Visualization)
暫譯: 科學視覺化：不確定性、多場、生物醫學與可擴展視覺化（數學與視覺化）
相關主題
商品描述
Based on the seminar that took place in Dagstuhl, Germany in June 2011, this contributed volume studies the four important topics within the scientific visualization field: uncertainty visualization, multifield visualization, biomedical visualization and scalable visualization.
• Uncertainty visualization deals with uncertain data from simulations or sampled data, uncertainty due to the mathematical processes operating on the data, and uncertainty in the visual representation,
• Multifield visualization addresses the need to depict multiple data at individual locations and the combination of multiple datasets,
• Biomedical is a vast field with select subtopics addressed from scanning methodologies to structural applications to biological applications,
• Scalability in scientific visualization is critical as data grows and computational devices range from hand-held mobile devices to exascale computational platforms.
Scientific Visualization will be useful to practitioners of scientific visualization, students interested in both overview and advanced topics, and those interested in knowing more about the visualization process.
商品描述(中文翻譯)
根據2011年6月在德國達格施泰因舉行的研討會，本書探討了科學視覺化領域中的四個重要主題：不確定性視覺化、多場視覺化、生物醫學視覺化和可擴展視覺化。
• 不確定性視覺化處理來自模擬或取樣數據的不確定數據、由於數據上運行的數學過程所產生的不確定性，以及視覺表示中的不確定性，
• 多場視覺化滿足在個別位置描繪多個數據和多個數據集組合的需求，
• 生物醫學是一個廣泛的領域，涵蓋從掃描方法到結構應用再到生物應用的選定子主題，
• 隨著數據的增長，科學視覺化中的可擴展性至關重要，計算設備的範圍從手持移動設備到超級計算平台。
《科學視覺化》將對科學視覺化的從業者、對概述和進階主題感興趣的學生，以及希望了解更多視覺化過程的人士有所幫助。
