'External nodes' presentation slideshows

Introduction to trees Instructor: Dimitrios Kosmopoulos

Introduction to trees Instructor: Dimitrios Kosmopoulos. Why trees ?. Describe dynamic properties of algorithms Build and use explicit data structures that are concrete realizations of trees. Definitions. A tree is a data structure accessed beginning at a root node

922 views • 91 slides

How to Build Macro-Models in Tina SPICE Part 1: Text Macro-Model Creation Text SubCircuit Creation

How to Build Macro-Models in Tina SPICE Part 1: Text Macro-Model Creation Text SubCircuit Creation Symbol Creation Macro-Model Creation Part 2: Schematic Macro-Model Creation Schematic SubCircuit Creation Symbol Creation Macro-Model Creation Tim Green May 4, 2006.

983 views • 80 slides

Relativistic Red-Black Trees

Relativistic Red-Black Trees. Philip Howard 10/31/2011 phil.w.howard@gmail.com. Red-Black Trees. External Property : Every external node is black Internal Property : The children of red nodes are black Depth Property : All external nodes have the same black depth. 12. 11. 15. 5. 11.5.

696 views • 54 slides

Trapping in scale-free networks with hierarchical organization of modularity

???? ? ? ???????? ??? ???? 2010.7.30. Trapping in scale-free networks with hierarchical organization of modularity. Introduction about random walks Concepts Applications Our works Fixed-trap problem Multi-trap problem Hamiltonian walks Self-avoid walks. Outline.

578 views • 46 slides

Introduction to trees Instructor: Dimitrios Kosmopoulos

Introduction to trees Instructor: Dimitrios Kosmopoulos. 1. Why trees ?. Describe dynamic properties of algorithms Build and use explicit data structures that are concrete realizations of trees. Definitions. A tree is a data structure accessed beginning at a root node

351 views • 34 slides

Computer Science II

Computer Science II. University of Palestine Faculty of Engineering and Urban planning Software Engineering Department. Lecture 13 of. Mohammad Amin Kuhail M.Sc. (York, UK). Trees. Saturday, 17 November 2007. Trees. Outline. Binary Trees Data structures for representing Binary Trees.

448 views • 32 slides

Binary Trees

Binary Trees. Binary Tree. Finite (possibly empty) collection of elements A nonempty binary tree has a root element The remaining elements (if any) are partitioned into two binary trees These are called the left and right subtrees of the binary tree.

684 views • 31 slides

MA/CSSE 473 Day 28

298 views • 29 slides

Puppetize It! An Introduction to Puppet

Puppetize It! An Introduction to Puppet. Mike Seda CEO, Seda Systems, Inc. Meet the Guru. Profile, Experience, Preface. Mike Seda CEO, Seda Systems, Inc. System Administrator since 2005 Accumulating Puppet skills since 2008

458 views • 27 slides

Introduction to Computer Science 2 Lecture 7: Extended binary trees

Introduction to Computer Science 2 Lecture 7: Extended binary trees. Prof. Neeraj Suri Brahim Ayari. In advance: Search in binary trees. Binary trees can be considered as decision trees. Each node represent a decision, the edges the different possibilities.

392 views • 23 slides

Suffix Trees and Suffix Arrays

Suffix Trees and Suffix Arrays. Modern Information Retrieval by R. Baeza-Yates and B. Ribeiro-Neto Addison-Wesley, 1999. (Chapter 8). Introduction. Word-based indexing Inverted indices are good for search words

401 views • 22 slides

Static Dictionaries

Static Dictionaries. Collection of items. Each item is a pair. (key, element) Pairs have different keys. Operations are: initialize/create get (search). Hashing. Perfect hashing (no collisions). Minimal perfect hashing (space = n ). CHD algorithm.

373 views • 21 slides

Static Dictionaries

Static Dictionaries. Collection of items. Each item is a pair. (key, element) Pairs have different keys. Operations are: initialize/create get (search). Hashing. Perfect hashing (no collisions). Minimal perfect hashing (space = n ). CHD (compress, hash, and displace) algorithm.

213 views • 21 slides

Trees

222 views • 21 slides

Classwork II: NJ tree using MEGA.

Classwork II: NJ tree using MEGA. Go to CDD webpage and retrieve alignment of cd00157 in FASTA format. Import this alignment into MEGA and convert it to MEGA format http://www.megasoftware.net/mega3/mega.html . 3. Construct NJ tree using different distance measures with bootstrap.

516 views • 20 slides

MA/CSSE 473 Days 31-32

MA/CSSE 473 Days 31-32. Optimal linked lists Optimal BSTs. MA/CSSE 473 Days 31-32. Student Questions? Optimal Linked Lists Expected Lookup time in a Binary Tree Optimal Binary Tree (intro Day 31, finish Day 32). Warmup : Optimal linked list order.

355 views • 20 slides

Static Dictionaries

Static Dictionaries. Collection of items. Each item is a pair. (key, element) Pairs have different keys. Operations are: initialize/create get (search) Each item/key/element has an estimated access frequency (or probability). Consider binary search tree only. a. b. b. c. a. c.

272 views • 19 slides

VALENCIA TESTBED SITE

311 views • 18 slides

Cluster distributed dynamic storage

Cluster distributed dynamic storage. BACKGROUND Manchester University 1000 nodes new cluster (2x1000 processors) 2x250 GB disks equivalent to ~400 TB of available disk space excluding the space reserved for OS and scratch directories. There is no tape storage behind.

108 views • 1 slides

Application of MBSE Theory in a World of Practical Deadlines and Deliverables: Lessons Learned

Application of MBSE Theory in a World of Practical Deadlines and Deliverables: Lessons Learned. March 29 th , 2014. Tamara Valinoto. Systems Architect/Model Driven Engineering (MDE) Community of Practice(CoP) Chair. tamara.valinoto@ngc.com.

128 views • 0 slides