PPT-The R -Tree: A Dynamic Index

for MultiDimensional Objects Timos Sellis University of Maryland College Park Nick Roussopoulos University of Maryland College Park Christos Faloutsos Carnegie . I NTRODUCTION Dynamic equations of motion of a serialtype robotic manipulator are generally complex where the motion of one link affects the others ie there are coupled terms in the equations of motion Such complexity not only makes the control algo Indexing with the crowd. Ahmed. R . Mahmood. *. Walid. G. . Aref. *. Eduard . Dragut. *. Saleh. . Basalamah. **. *Purdue . University. **Umm . AlQura. University. Outline. Motivation. Taxonomy for Crowd-based Indexing. @ Dennis Shasha and Philippe Bonnet, 2013 . Outline. Index . Utilization. Heap . Files. Definition: Clustered/Non clustered, Dense/Sparse. Access method: Types of queries. Constraints and Indexes. Locking. Static Hardware. Stephen Edwards (Columbia). Simon Peyton Jones, MSR Cambridge. Satnam Singh, MSR Cambridge. XC6VLX760 758,784 logic cells, 864 DSP blocks,. 1,440 dual ported 18Kb RAMs. 32-bit. i. nteger. Tom Roeder. eXtreme. Computing Group. Microsoft Research. Joint work with Seny Kamara. Cloud backup. Users want to back up their data. The cloud provides storage. Privacy, integrity, and confidentiality. Database System Implementation CSE 507. Some slides . adapted from R. . Elmasri. and S. . Navathe. , Fundamentals of Database Systems. , Sixth . Edition, . Pearson.. And . Silberschatz. , . Korth. and . →. . power systems must be competitive, high . profitable . and . efficient. Steady increase of power demand but often slow . growth of . capacity and infrastructure. Uncertainty of generation level of renewables. R & G Chapter 10. “If I had eight hours to chop down a tree, I'd spend six sharpening my ax.”. . Abraham Lincoln . Review: Files, Pages, Records. Abstraction of stored data is “files” with “pages” of “records”.. Database System Implementation CSE 507. Some slides adapted from R. . Elmasri. and S. . Navathe. , Fundamentals of Database Systems. , Sixth Edition, Pearson.. And . Silberschatz. , . Korth. and . Sudarshan. 1. Extra: B Trees. CS1: Java Programming. Colorado State University. Slides by Wim Bohm and Russ Wakefield. 2. Motivations. Many times you want to minimize the disk accesses while doing a search. A binary search tree allows two keys per node – a B tree allows as many values that will fit on a page.. 1. Extra: B Trees. CS1: Java Programming. Colorado State University. Slides by Wim Bohm and Russ Wakefield. 2. Motivations. Many times you want to minimize the disk accesses while doing a search. A binary search tree allows two keys per node – a B tree allows as many values that will fit on a page.. Originally the “Tabular Method”. Key idea:. Problem solution has one or more . subproblems. that can be solved recursively. The . subproblems. are overlapping. The same . subproblem. will get solved multiple times. Basic Concepts. Ordered Indices . B. +. -Tree Index Files. B-Tree Index Files. Hashing. Write-optimized indices . Spatio. -Temporal Indexing. Basic Concepts. Indexing mechanisms used to speed up access to desired data.. and Regress Decision Tree. KH Wong. Decision tree v3.(230403b). 1. We will learn : the Classification and Regression decision Tree ( CART) ( or . Decision Tree. ). Classification decision tree. uses.