heap property
... heap-size[A] = heap-size[A] + 1 i = heap-size[A] while i > 1 and A[Parent(i)] < key do A[i] = A[Parent(i)] i = Parent(i) ...
... heap-size[A] = heap-size[A] + 1 i = heap-size[A] while i > 1 and A[Parent(i)] < key do A[i] = A[Parent(i)] i = Parent(i) ...
First-Time International Bond Issuance—New Opportunities
... sovereign issuances slumped dramatically during the height of the global financial crisis, when investors retreated from risky asset classes. In 2008 and 2009 only two countries Georgia and Senegal - tapped the international capital market. As risk appetite improved, and investors resumed their “sea ...
... sovereign issuances slumped dramatically during the height of the global financial crisis, when investors retreated from risky asset classes. In 2008 and 2009 only two countries Georgia and Senegal - tapped the international capital market. As risk appetite improved, and investors resumed their “sea ...
Corporate Finance
... When you cannot estimate the free cash flows to equity or the firm, the only cash flow that you can discount is dividends. For financial service firms, it is difficult to estimate free cash flows. For Deutsche Bank, we will be discounting dividends. If a firm’s debt ratio is not expected to change o ...
... When you cannot estimate the free cash flows to equity or the firm, the only cash flow that you can discount is dividends. For financial service firms, it is difficult to estimate free cash flows. For Deutsche Bank, we will be discounting dividends. If a firm’s debt ratio is not expected to change o ...
Data Structures (810:052) Name:___________________________ / -
... h. subtree who’s root is node contains “+” i. path from node containing “+” to node containing “5” j. branch from root node to “3” k. mark the levels of the tree (level is the number of edges on the path from the root) l. What is the height (max. level) of the tree? The binarytree.py file contains t ...
... h. subtree who’s root is node contains “+” i. path from node containing “+” to node containing “5” j. branch from root node to “3” k. mark the levels of the tree (level is the number of edges on the path from the root) l. What is the height (max. level) of the tree? The binarytree.py file contains t ...
二叉树（英文）
... comparison operators. By casting records to their corresponding keys, the comparison operators apply to records as well as to keys. ...
... comparison operators. By casting records to their corresponding keys, the comparison operators apply to records as well as to keys. ...
Review questions for Chapter 8
... 51. In a(n) _______________ graph, the edges point from one node to another. 52. A graphical map with vertices representing the names of cities and with edges linking the vertices representing two-way roads between the cities is an example of a(n)________________graph. 53. In order to answer the que ...
... 51. In a(n) _______________ graph, the edges point from one node to another. 52. A graphical map with vertices representing the names of cities and with edges linking the vertices representing two-way roads between the cities is an example of a(n)________________graph. 53. In order to answer the que ...
Conventions in the Foreign Exchange Market
... self-referential behaviour is rational at an individual level although it can lead to unrational phenomena (such as price bubbles) at a collective level. The self-referential behaviour consists in detecting striking events that could catch the attention of the market. The choice of a striking factor ...
... self-referential behaviour is rational at an individual level although it can lead to unrational phenomena (such as price bubbles) at a collective level. The self-referential behaviour consists in detecting striking events that could catch the attention of the market. The choice of a striking factor ...
Comparison of Brute-Force and KD Tree Algorithm
... powerful new technology with great potential to analyze important information in the data warehouse. Nearest neighbor search (NNS), also known as proximity search, similarity search or closest point search, is an optimization problem for finding closest points in metric spaces. Brute-force search is ...
... powerful new technology with great potential to analyze important information in the data warehouse. Nearest neighbor search (NNS), also known as proximity search, similarity search or closest point search, is an optimization problem for finding closest points in metric spaces. Brute-force search is ...
Comparing Forecast Performance of Exchange Rate Models
... Exchange rate movement is an important subject of macroeconomic analysis and market surveillance. Despite its importance, forecasting the exchange rate level has been a challenge for academics and market practitioners. The collapse of the Bretton Woods system of fixed exchange rates among major indu ...
... Exchange rate movement is an important subject of macroeconomic analysis and market surveillance. Despite its importance, forecasting the exchange rate level has been a challenge for academics and market practitioners. The collapse of the Bretton Woods system of fixed exchange rates among major indu ...
Lecture 9 — 16 Feb, 2012 1 Overview 2 The problem
... • insert(x) or delete(x): Same as inserting or deleting in each of the hash tables. For each hash table, deletion is O(1) and insertion is O(1) expected amortised. So total expected amortised time is O(log u). • succ(x) or pred(x): We do a nested binary search to find the longest common subsequence ...
... • insert(x) or delete(x): Same as inserting or deleting in each of the hash tables. For each hash table, deletion is O(1) and insertion is O(1) expected amortised. So total expected amortised time is O(log u). • succ(x) or pred(x): We do a nested binary search to find the longest common subsequence ...
insertFront - WSU EECS - Washington State University
... Other Considerations for Data Structures? (1) ...
... Other Considerations for Data Structures? (1) ...
DOC - World bank documents
... Bangladesh has limited access to international capital markets, domestic savings are limited, and its revenue mobilization capacity is extremely weak. Therefore, there is a good case for increasing the extent of pass-through to the consumers based on economic efficiency and macroeconomic sustainabil ...
... Bangladesh has limited access to international capital markets, domestic savings are limited, and its revenue mobilization capacity is extremely weak. Therefore, there is a good case for increasing the extent of pass-through to the consumers based on economic efficiency and macroeconomic sustainabil ...
ppt
... from the root to some leaf node. If there are n search-key values in the file, the path is no longer than log f/2(n) (worst ...
... from the root to some leaf node. If there are n search-key values in the file, the path is no longer than log f/2(n) (worst ...
Lattice model (finance)
For other meanings, see lattice model (disambiguation)In finance, a lattice model [1] is a technique applied to the valuation of derivatives, where, because of path dependence in the payoff, 1) a discretized model is required and 2) Monte Carlo methods fail to account for optimal decisions to terminate the derivative by early exercise. For equity options, a typical example would be pricing an American option, where a decision as to option exercise is required at ""all"" times (any time) before and including maturity. A continuous model, on the other hand, such as Black Scholes, would only allow for the valuation of European options, where exercise is on the option's maturity date. For interest rate derivatives lattices are additionally useful in that they address many of the issues encountered with continuous models, such as pull to par.