PPT-CMSC 341 Lecture 13 Leftist Heaps

Prof Neary Based on slides from previous iterations of this course Todays Topics Review of Min Heaps Introduction of Left ist Heaps Merge Operation Heap Operations Review of Heaps Min Binary Heap. In each part we will make different assumptions about the data generating process Online Learning No assumptions about data generating process Worst case analysis Fundamental connections to Game Theory Statistical Learning Assume data consists of in System fault A characteristic of a software system that can lead to a system error For example failure to initialize a variable could lead to that variable having the wrong value when it is used Human error or mistake Human behavior that results in COL 106. Shweta Agrawal and . Amit. Kumar. 2. Revisiting FindMin. Application: Find the smallest ( or highest priority) item quickly. Operating system. needs to schedule jobs according to priority instead of FIFO. Desrieux & Espinosa, “Do Employers Fear Labor . Courts?”. Dan Klerman. USC Law School. ALEA 2015. Columbia Law School. May 16, 2015. Overview. Quick summary of paper. Why results are surprising. Functional Programming with OCaml. CMSC 330. 2. Review. Recursion is how all looping is done. OCaml can easily pass and return functions. CMSC 330. 3. The Call Stack in C/Java/etc.. void f(void) {. int x;. Context-Free . Grammars. Ambiguity . CMSC 330. 2. Review. Why should we study CFGs?. What are the four parts of a CFG?. How do we tell if a string is accepted by a CFG?. What. ’. s a parse tree?. CMSC 330. Bits and Bytes; Hexadecimal The IESO administers the wholesale electricity markets in Ontario. It operates a real‑time energy market, in which electricity demand and supply are balanced and instructions are issued to . dispatchable. The IESO administers the wholesale electricity markets in Ontario. It operates a real‑time energy market, in which electricity demand and supply are balanced and instructions are issued to . dispatchable. A heap is a binary tree.. A heap is best implemented in sequential representation (using an array).. Two important uses of heaps are: . (. i. ) efficient implementation of priority queues. (ii) sorting -- . Tocitethisversion: FlorentBresson,KellyLabar.\Leftist",\Rightist"andIntermediateDecompositionsofPovertyVariationswithanApplicationtoChinafrom1990to2003.2007.27.2011.HALId:halshs-00556990https://halshs CS 6310 Advanced Data Structure. Wei-. Shian. Wang. Also called priority queues. Support operations:. insert, . find_min. , . delete_min. Min-heap and max-heap. 5.1 Balanced Search Trees as . Heaps. Maps and Folds. Anonymous Functions. Project 3 and Project 4. You may use the . List. module. There is a link on the “Resources” page. For exams, however, you should be able to implement any of the functions in List. A binary min-heap allows the operations of push and pop to occur . in an average case of . Q. (1). and . Q. (. ln. (. n. )). time, respectively. Merging two binary min-heaps, however, is an . Q. (.