Uniform Manual Real Property Acquisition and Relocation Assistance Section II - Chapter 111 Uniform Rules and Procedures April, 2006

The purpose of this chapter is to implement Iowa Code chapter 316 and sections 6B.42, 6B.45, 6B.54 and 6B.55, as required by the Uniform Relocation Assistance and Real Property Acquisition Policies Act of 1970, Pub. L. 91-646, as amended by the Uniform Relocation Act Amendments of 1987, Title IV, Pub. L. No. 100-17 , Sec. 104, Pub. L. 105-117, and federal regulations adopted pursuant thereto.

Equivalence of piecewise-linear approximation and Lagrangian relaxation for network revenue management

The network revenue management (RM) problem arises in airline, hotel, media,and other industries where the sale products use multiple resources. It can be formulatedas a stochastic dynamic program but the dynamic program is computationallyintractable because of an exponentially large state space, and a number of heuristicshave been proposed to approximate it. Notable amongst these -both for their revenueperformance, as well as their theoretically sound basis- are approximate dynamic programmingmethods that approximate the value function by basis functions (both affinefunctions as well as piecewise-linear functions have been proposed for network RM)and decomposition methods that relax the constraints of the dynamic program to solvesimpler dynamic programs (such as the Lagrangian relaxation methods). In this paperwe show that these two seemingly distinct approaches coincide for the network RMdynamic program, i.e., the piecewise-linear approximation method and the Lagrangianrelaxation method are one and the same.

Calibration of stochastic volatility models via second order approximation: the Heston model case

Using a suitable Hull and White type formula we develop a methodology to obtain asecond order approximation to the implied volatility for very short maturities. Using thisapproximation we accurately calibrate the full set of parameters of the Heston model. Oneof the reasons that makes our calibration for short maturities so accurate is that we alsotake into account the term-structure for large maturities. We may say that calibration isnot "memoryless", in the sense that the option's behavior far away from maturity doesinfluence calibration when the option gets close to expiration. Our results provide a wayto perform a quick calibration of a closed-form approximation to vanilla options that canthen be used to price exotic derivatives. The methodology is simple, accurate, fast, andit requires a minimal computational cost.

On the closed-form approximation of short-time random strike options

In this paper we propose a general technique to develop first and second order closed-form approximation formulas for short-time options withrandom strikes. Our method is based on Malliavin calculus techniques andallows us to obtain simple closed-form approximation formulas dependingon the derivative operator. The numerical analysis shows that these formulas are extremely accurate and improve some previous approaches ontwo-assets and three-assets spread options as Kirk's formula or the decomposition mehod presented in Alòs, Eydeland and Laurence (2011).

Approximation of quadratic irrationals and their pierce expansions

In this article two aims are pursued: on the one hand, to present arapidly converging algorithm for the approximation of square roots; on theother hand and based on the previous algorithm, to find the Pierce expansionsof a certain class of quadratic irrationals as an alternative way to themethod presented in 1984 by J.O. Shallit; we extend the method to findalso the Pierce expansions of quadratic irrationals of the form $2 (p-1)(p - \sqrt{p^2 - 1})$ which are not covered in Shallit's work.

A generalization of Hull and White formula and applications to option pricing approximation

By means of Malliavin Calculus we see that the classical Hull and White formulafor option pricing can be extended to the case where the noise driving thevolatility process is correlated with the noise driving the stock prices. Thisextension will allow us to construct option pricing approximation formulas.Numerical examples are presented.

A decomposition formula for option prices in the Heston model and applications to option pricing approximation

By means of classical Itô's calculus we decompose option prices asthe sum of the classical Black-Scholes formula with volatility parameterequal to the root-mean-square future average volatility plus a term dueby correlation and a term due to the volatility of the volatility. Thisdecomposition allows us to develop first and second-order approximationformulas for option prices and implied volatilities in the Heston volatilityframework, as well as to study their accuracy. Numerical examples aregiven.

An inequality for uniform deviations of sample averages from their means

We derive a new inequality for uniform deviations of averages from their means. The inequality is a common generalization of previous results of Vapnik and Chervonenkis (1974) and Pollard (1986). Usingthe new inequality we obtain tight bounds for empirical loss minimization learning.

Iowa Uniform Crime Report, 2004

The National Uniform Crime Reporting System began with 400 cities representing 20 million inhabitants in 43 states on January 1st, 1930. Since the establishment of the Uniform Crime Reporting Program, the volume, diversity, and complexity of crime steadily increased while the UCR program remained virtually unchanged. Recognizing the increasing need for more in-depth statistical information and the need to improve the methodology used for compiling, analyzing, auditing, and publishing the collected data, an extensive study of the Uniform Crime reports was undertaken. The objective of this study was to meet law enforcement needs into the 21st century. The result of the study was NIBRS (National Incident Based Reporting System). Adoption of the NIBRS system took place in the mid 1980’s and Iowa began organizational efforts to implement the system. Conversion to IBR (Incident Based Iowa Uniform Crime Reporting) was completed January 1, 1991, as part of a national effort to implement incident based crime reporting, coordinated by the Federal Bureau of Investigation and the Bureau of Justice Statistics of the U.S. Department of Justice. Iowa was the fifth state in the nation to be accepted as a certified “reporting state” of incident based crime data to the national system.

Iowa Uniform Crime Report, 2003

SERIOUS CRIMES: the rate decreased 6.6 percent from 3,669 crimes per 100,000 population in 2002 to the adjusted rate of 3,427 crimes per 100,000 population in 2003. Also known as the Crime Index, serious crimes include the violent crimes of murder, forcible rape, robbery and aggravated assault and the property crimes of burglary, larceny and motor vehicle theft. VIOLENT CRIMES: decreased 5.2 percent from 2002 to 2003, violent crimes dropped from an adjusted rate of 313.8 crimes per 100,000 population reported in 2002 to 297.4 crimes per 100,000 population in 2003. PROPERTY CRIMES: decreased 6.7 percent from an adjusted rate of 3,355 crimes per 100,000 population in 2002 to 3,131 crimes reported in 2003.

Iowa Uniform Crime Report, 2005

The National Uniform Crime Reporting System began with 400 cities representing 20 million inhabitants in 43 states on January 1st, 1930. Since the establishment of the Uniform Crime Reporting Program, the volume, diversity, and complexity of crime steadily increased while the UCR program remained virtually unchanged. Recognizing the increasing need for more in-depth statistical information and the need to improve the methodology used for compiling, analyzing, auditing, and publishing the collected data, an extensive study of the Uniform Crime reports was undertaken. The objective of this study was to meet law enforcement needs into the 21st century. The result of the study was NIBRS (National Incident Based Reporting System). Adoption of the NIBRS system took place in the mid 1980’s and Iowa began organizational efforts to implement the system. Conversion to IBR (Incident Based Iowa Uniform Crime Reporting) was completed January 1, 1991, as part of a national effort to implement incident based crime reporting, coordinated by the Federal Bureau of Investigation and the Bureau of Justice Statistics of the U.S. Department of Justice. Iowa was the fifth state in the nation to be accepted as a certified “reporting state” of incident based crime data to the national system.

Iowa Uniform Crime Report, 2006

The National Uniform Crime Reporting System began with 400 cities representing 20 million inhabitants in 43 states on January 1st, 1930. Since the establishment of the Uniform Crime Reporting Program, the volume, diversity, and complexity of crime steadily increased while the UCR program remained virtually unchanged. Recognizing the increasing need for more in-depth statistical information and the need to improve the methodology used for compiling, analyzing, auditing, and publishing the collected data, an extensive study of the Uniform Crime reports was undertaken. The objective of this study was to meet law enforcement needs into the 21st century. The result of the study was NIBRS (National Incident Based Reporting System). Adoption of the NIBRS system took place in the mid 1980’s and Iowa began organizational efforts to implement the system. Conversion to IBR (Incident Based Iowa Uniform Crime Reporting) was completed January 1, 1991, as part of a national effort to implement incident based crime reporting, coordinated by the Federal Bureau of Investigation and the Bureau of Justice Statistics of the U.S. Department of Justice. Iowa was the fifth state in the nation to be accepted as a certified “reporting state” of incident based crime data to the national system.

Iowa Uniform Crime Report, 2007

The National Uniform Crime Reporting System began with 400 cities representing 20 million inhabitants in 43 states on January 1st, 1930. Since the establishment of the Uniform Crime Reporting Program, the volume, diversity, and complexity of crime steadily increased while the UCR program remained virtually unchanged. Recognizing the increasing need for more in-depth statistical information and the need to improve the methodology used for compiling, analyzing, auditing, and publishing the collected data, an extensive study of the Uniform Crime reports was undertaken. The objective of this study was to meet law enforcement needs into the 21st century. The result of the study was NIBRS (National Incident Based Reporting System). Adoption of the NIBRS system took place in the mid 1980’s and Iowa began organizational efforts to implement the system. Conversion to IBR (Incident Based Iowa Uniform Crime Reporting) was completed January 1, 1991, as part of a national effort to implement incident based crime reporting, coordinated by the Federal Bureau of Investigation and the Bureau of Justice Statistics of the U.S. Department of Justice. Iowa was the fifth state in the nation to be accepted as a certified “reporting state” of incident based crime data to the national system.

Incremental neural networks for function approximation

A new strategy for incremental building of multilayer feedforward neural networks is proposed in the context of approximation of functions from R-p to R-q using noisy data. A stopping criterion based on the properties of the noise is also proposed. Experimental results for both artificial and real data are performed and two alternatives of the proposed construction strategy are compared.