Bond Pricing Based on Nelson-Siegel Model ——An Analysis of Varied Parameter τ Introduction Nelson and Siegel (1987) suggest to fit the forward rate curve at a given date with a mathematical class of approximating functions. The model precisely reflects the expected YTM with a flexible yield curve in the Term Structure Theorem. In this paper‚ we test the fitness of NS model and try to evaluate how deeply the NS model performs with different types of bonds via sampling and comparasion. We focus on
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Overview of Algorithms for Swarm Intelligence Shu-Chuan Chu1‚ Hsiang-Cheh Huang2‚ John F. Roddick1‚ and Jeng-Shyang Pan3 1 School of Computer Science‚ Engineering and Mathematics‚ Flinders University of South Australia‚ Australia 2 National University of Kaohsiung‚ 700 University Road‚ Kaohsiung 811‚ Taiwan‚ R.O.C. 3 National Kaohsiung University of Applied Sciences‚ 415 Chien-Kung Road‚ Kaohsiung 807‚ Taiwan‚ R.O.C. Abstract. Swarm intelligence (SI) is based on collective behavior
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CSci 5103 - Operating Systems HW-1 February 9‚ 2015 This assignment is to be done individually and submitted in class. (Online submissions are not allowed) Due Date: February 16‚ 2015 Question 1 (20 points): What is the purpose of interrupts? What are the differences between a trap and an interrupt? Can traps be generated intentionally by a user program? If so‚ for what purpose? Interrupt is that causes a computer processor to temporarily stop executing
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(1994)‚ Pesch (1994)‚ Corne and Ross (1997)‚ and Kreipl (2000). The three step procedure described in the discussion section is due to Lee‚ Bhaskaran and Pinedo (1997) discussed in Roundy‚ Maxwell‚ Herer‚ Tayur and Getzler (1991). Other approaches are based on decomposition techniques; see‚ for example‚ Sidney and Steiner (1986)‚ Monma and Sidney (1987)‚ Uzsoy (1993)‚ Ovacik and Uzsoy (1997).
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classification algorithms applied‚ the BBC forum dataset [112] used and the performance evaluation measures used to analyze the results. 5.5.1 Classification Algorithms For classification task‚ in this module‚ we used the four classification algorithms of Support Vector Machine‚ Decision Tree‚ Naïve Bayes and Logistic Regression provided in ODM[107]. As discussed earlier that it is used for data mining tasks in a number of existing research works[108-110]. Maximum Description Length (MDL) algorithm has been
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Introduction to Genetic Algorithms S.N.Sivanandam · S.N.Deepa Introduction to Genetic Algorithms With 193 Figures and 13 Tables Authors S.N.Sivanandam Professor and Head Dept. of Computer Science and Engineering PSG College of Technology Coimbatore - 641 004 TN‚ India S.N.Deepa Ph.D Scholar Dept. of Computer Science and Engineering PSG College of Technology Coimbatore - 641 004 TN‚ India Library of Congress Control Number: 2007930221 ISBN 978-3-540-73189-4 Springer Berlin Heidelberg
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Notes on Algorithms‚ Pseudocode‚ and Flowcharts Introduction Do you like hot sauce? Here is an ‘algorithm’ for how to make a good one: Volcanic Hot Sauce 10-12 scotch bonnets or Habanero‚ serrano‚ jalapeno 6 cloves Garlic‚ peeled and chopped 1/3 c Fresh lime juice 1/3 c Distilled white vinegar 2 tbl Dijon style mustard 2 tbl Olive oil 1 tsp Molasses 1/2 tsp Turmeric 1 tbl Salt or to taste 1. Combine the pepper‚ garlic‚ lime juice‚ vinegar‚ mustard‚ oil‚ molasses‚ turmeric‚ and salt in a blender
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retention and relevance. ● The teacher designs instructional activities based on state content standards. ● The teacher provides instructional accommodations‚ modifications‚ and adaptations to meet needs of each individual student. º How does the design or structure of the lesson help students understand connections between and among discrete facts and their relationship to major concepts or big ideas? Sample Evidence: Student use of graphic organizers; focus on essential question and
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A Knowledge-Based Model for Analyzing GSM Network Performance Pasi Lehtimäki and Kimmo Raivio Helsinki University of Technology Laboratory of Computer and Information Science P.O. Box 5400‚ FIN-02015 HUT‚ Finland Abstract. In this paper‚ a method to analyze GSM network performance on the basis of massive data records and application domain knowledge is presented. The available measurements are divided into variable sets describing the performance of the different subsystems of the GSM network
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Department of Information Technology LAB MANUAL IT2205 – Data Structures and Algorithm Lab INDEX 1. Array Implementation Of Stack 2. Application Of Stack – Conversion Of Infix To Postfix 3. Implementation Of Linear Queue Using Arrays 4. Array Implementation Of Circular Queue 5. Linked List Implementation Of Stack 6. Singly linked list – Linked list implementation 7. Doubly
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