In: Infectious Disease Modelling Research Progress ISBN 978-1-60741-347-9 c Editors: J.M. Tchuenche and C. Chiyaka‚ pp. 133-150 2009 Nova Science Publishers‚ Inc. Chapter 4 W HEN Z OMBIES ATTACK !: M ATHEMATICAL M ODELLING OF AN O UTBREAK OF Z OMBIE I NFECTION Philip Munz1 ∗ Ioan Hudea1 † Joe Imad2 ‡ Robert J. Smith?3 § ‚ ‚ ‚ 1 School of Mathematics and Statistics‚ Carleton University‚ 1125 Colonel By Drive‚ Ottawa‚ ON K1S 5B6‚ Canada 2 Department of Mathematics‚ The University
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AN IMPROVED METHOD FOR DECISION-DIRECTED BLIND EQUALIZATION ALGORITHM Seongmin Kim‚ Wangrok Oh and Whanwoo Kim Department of Electronics Engineering Chungnam National University‚ Daejeon‚ Republic of Korea wwkim@cnu.ac.kr ABSTRACT s ( n) u ( n) ˆ( s n) y ( n) The decision-directed blind equalization algorithm is often used due to its simplicity and good convergence property when the eye pattern is open. However‚ in a channel where the eye pattern is closed‚ the decision-directed
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Mathematical Model of the Growth of Trees Absract At different stages of life‚ the growth rate of a tree is not the same. This presentation is to: build a mathematical model according to the regular pattern which has been observed and then solve the problem and optimize the established model. Problem Proposition A newly planted tree grows slowly‚ but gradually the tree grows tall and will grow at a faster speed. But when it grows to a certain height‚ the growth rate will gradually
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A Project Report On [………………Project Title…………….] Submitted in partial fulfillment of the Requirements for the award of degree of Bachelor of Technology In Computer Science and Engineering By [Name of the Student] [H.T.NO:12H61A0.....] Under the guidance of Mr. / Mrs./Ms. Guide Name Designation‚ CSE Dept. [pic] Department of Computer Science and Engineering‚ Anurag
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Int. J. Production Economics 141 (2013) 529–540 Contents lists available at SciVerse ScienceDirect Int. J. Production Economics journal homepage: www.elsevier.com/locate/ijpe Postponed product differentiation with demand information update$ Juliang Zhang a‚ Biying Shou b‚n‚ Jian Chen c a b c Department of Logistics Management‚ School of Economics and Management‚ Beijing Jiaotong University‚ Beijing 100044‚ China Department of Management Sciences‚ City University of Hong Kong‚ Hong
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kinetics‚ derivation of complex kinetic equations‚ design of the bioreactor and its simulation. These systems can also be combined with software for computational fluid dynamics‚ etc. The other technique in place is use of mathematical modeling of reactions. Several mathematical modeling techniques that have been in use for this purpose in recent times are narmax model‚ wavelet model (with bootstrap)‚ neural networks and the latest one being fuzzy logic. The use of these techniques makes it very easy
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| Why Do People Hate Math? | | | | | | Why is it that people hate maths? Truly‚ there is no bona fide reason why mathematics in particular should be disliked. It forms an inevitable part of life that every human must confront at some time in their lives. Math‚ as defined by Wikipedia.org‚ is the study of quantity‚ structure‚ space and change. Without realizing it‚ people integrate simple math into their lives‚ whether it is by playing a card game‚ taking out a loan‚ checking
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difference between the two sexes. Gender difference is the most studied environmental cause of statistical anxiety but the findings are infamously inconsistent. Statistical anxiety is a state of discomfort that is associated with performance in a mathematical task‚ and is thought to affect a high percentage of school age children. There are many factors that have been associated with statistical anxiety‚ but potential factors include environmental variables e.g. negative class experience‚ intellectual
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Coursework 2 Mathematical Finance Group 27 Q1. Hedging in Complete and Incomplete market Solution: Complete market Suppose we have m states. A complete market A is one with the marketed subspace Span(A.1‚A.2‚ ⋯‚ A.n) includes all possible payoffs over the m states‚ i.e.‚ if it contains all possible m-dimensional vectors. Incomplete market Suppose we have m states. An incomplete market corresponds to a market with fewer linear independent
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solved using mathematical programming based on the optimization techniques such as lambda-iteration method‚ gradient method‚ and dynamic programming method‚ etc. However many mathematical assumptions such as convex‚ quadratic‚ differentiable and linear objectives and constraints are required to simplify the problem. The practical ED problem with ramp rate limits‚ prohibited operating zones‚ valvepoint effects and multi-fuel options is represented as a non-smooth or nonconvex optimization problem with
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