Data Structures and Algorithms in Java - Go Green
... All terms mentioned in this book that are known to be trademarks or service marks have been appropriately capitalized. Sams Publishing cannot attest to the accuracy of this information. Use of a term in this book should not be regarded as affecting the validity of any trademark or service mark. ...
... All terms mentioned in this book that are known to be trademarks or service marks have been appropriately capitalized. Sams Publishing cannot attest to the accuracy of this information. Use of a term in this book should not be regarded as affecting the validity of any trademark or service mark. ...
I n - Computer Science at Virginia Tech
... • Problem: a task to be performed. – Best thought of as inputs and matching outputs. – Problem definition should include constraints on the resources that may be consumed by any acceptable solution. ...
... • Problem: a task to be performed. – Best thought of as inputs and matching outputs. – Problem definition should include constraints on the resources that may be consumed by any acceptable solution. ...
I n - Read
... • Problem: a task to be performed. – Best thought of as inputs and matching outputs. – Problem definition should include constraints on the resources that may be consumed by any acceptable solution. ...
... • Problem: a task to be performed. – Best thought of as inputs and matching outputs. – Problem definition should include constraints on the resources that may be consumed by any acceptable solution. ...
Java Structures: Data Structures for the Principled Programmer
... This book focuses on data structures implemented in the Python language. Python is a scripting language. This means that it can be used to solve a wide variety of problems and its programs are presented as scripts that are directly interpreted. In traditional programming languages, like C or Java, p ...
... This book focuses on data structures implemented in the Python language. Python is a scripting language. This means that it can be used to solve a wide variety of problems and its programs are presented as scripts that are directly interpreted. In traditional programming languages, like C or Java, p ...
Judy IV Shop Manual - Judy arrays
... done with a careful eye toward minimizing CPU cache misses, CPU time, and wasted memory, while maintaining source portability, broad dynamic ranges (see ‘‘Judy Dynamic Ranges’’ on page 24), and minimal configuration or tuning. A word about “expanses”. As we use the term, the expanse of a data struct ...
... done with a careful eye toward minimizing CPU cache misses, CPU time, and wasted memory, while maintaining source portability, broad dynamic ranges (see ‘‘Judy Dynamic Ranges’’ on page 24), and minimal configuration or tuning. A word about “expanses”. As we use the term, the expanse of a data struct ...
Lars Arge
... – Make R-tree by inserting 20.000 rectangles – Delete the first inserted 10.000 and insert them again • Search time improvement of 20-50% ...
... – Make R-tree by inserting 20.000 rectangles – Delete the first inserted 10.000 and insert them again • Search time improvement of 20-50% ...
Lars Arge
... – Make R-tree by inserting 20.000 rectangles – Delete the first inserted 10.000 and insert them again • Search time improvement of 20-50% ...
... – Make R-tree by inserting 20.000 rectangles – Delete the first inserted 10.000 and insert them again • Search time improvement of 20-50% ...
The required return on equity under a foundation model
... Powercor and United Energy to provide our views on a range of issues relating to the computation of the allowed return on equity in the Australian regulatory setting. Specifically, we have been asked to: a. Review the AER’s concerns as to the use of dividend growth model (DGM) estimates to inform th ...
... Powercor and United Energy to provide our views on a range of issues relating to the computation of the allowed return on equity in the Australian regulatory setting. Specifically, we have been asked to: a. Review the AER’s concerns as to the use of dividend growth model (DGM) estimates to inform th ...
Improved Bounds for Orthogonal Point Enclosure Query and Point
... O(n log∗ n) size and in O(log n · log∗ n + k) query time. 3.1 Shallow cuttings Given two points p and q in Rd , we say p dominates q if p has a larger coordinate value than q in every dimension. Let P be a set of n three-dimensional points. A shallow cutting for the t-level of P gives a point set R ...
... O(n log∗ n) size and in O(log n · log∗ n + k) query time. 3.1 Shallow cuttings Given two points p and q in Rd , we say p dominates q if p has a larger coordinate value than q in every dimension. Let P be a set of n three-dimensional points. A shallow cutting for the t-level of P gives a point set R ...
xxx
... No increase of securitised assets because of new consolidation criteria. ABN AMRO does already consolidate these Special Purpose Vehicles since 2001. For synthetic securitisations there is no impact at all ...
... No increase of securitised assets because of new consolidation criteria. ABN AMRO does already consolidate these Special Purpose Vehicles since 2001. For synthetic securitisations there is no impact at all ...
INFORMATION REQUESTS FOR ROGER A. MORIN (RAM) In the matter of:
... Dr. Morin states that it “is well established in academic research that the CAPM produces a downward-biased estimate of equity cost for companies with a beta of less than 1.00”. (a) Would Dr. Morin please confirm that the academic research that he refers to is based on comparisons of the model’s int ...
... Dr. Morin states that it “is well established in academic research that the CAPM produces a downward-biased estimate of equity cost for companies with a beta of less than 1.00”. (a) Would Dr. Morin please confirm that the academic research that he refers to is based on comparisons of the model’s int ...
Why Firms Smooth Dividends: Empirical Evidence - USI
... observed that firms are primarily concerned with the stability of dividends. ...
... observed that firms are primarily concerned with the stability of dividends. ...
Problem Solving with Algorithms and Data Structures
... provide computer scientists with a growing number of tools and platforms on which to practice their craft. Advances such as faster processors, high-speed networks, and large memory capacities have created a spiral of complexity through which computer scientists must navigate. Throughout all of this ...
... provide computer scientists with a growing number of tools and platforms on which to practice their craft. Advances such as faster processors, high-speed networks, and large memory capacities have created a spiral of complexity through which computer scientists must navigate. Throughout all of this ...
string searching with ranking constraints and uncertainty
... One such variation is document retrieval query for included and forbidden patterns We propose indexing solution for this problem and conjecture that any significant improvement over these results is highly unlikely. We also consider the scenario when the query consists of more than two patterns. Con ...
... One such variation is document retrieval query for included and forbidden patterns We propose indexing solution for this problem and conjecture that any significant improvement over these results is highly unlikely. We also consider the scenario when the query consists of more than two patterns. Con ...
Towards Constant Bandwidth Overhead E.
... Gerren, thank you very much; I really appreciate it. Many thanks to my thesis advisor, Prof. Srinivas Devadas. I was blessed with a gem of an advisor in Srini. Srini was a pleasure to work with, and he attracted and hired people who were a pleasure to work with. Srini's support enabled me to do the ...
... Gerren, thank you very much; I really appreciate it. Many thanks to my thesis advisor, Prof. Srinivas Devadas. I was blessed with a gem of an advisor in Srini. Srini was a pleasure to work with, and he attracted and hired people who were a pleasure to work with. Srini's support enabled me to do the ...
Worst Case Efficient Data Structures
... We present two new comparison based priority queue implementations, with the following properties. The first implementation supports the operations FindMin, Insert and Meld in worst case constant time and Delete and DeleteMin in worst case time O(log n). The priority queues can be implemented on the ...
... We present two new comparison based priority queue implementations, with the following properties. The first implementation supports the operations FindMin, Insert and Meld in worst case constant time and Delete and DeleteMin in worst case time O(log n). The priority queues can be implemented on the ...
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.