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The Foundations of Program Verification Second Edition Jacques Loeckx and Kurt Sieber Fachbereich informatik Universitat des Saariandes, Saarbrucken, Germany In collaboration with Ryan D. Stansifer Department of Computer Science Cornell University, USA This revised edition provides a precise mathematical background to several program verification techniques. It concentrates on those verification methods that have now become classic, such as the inductive assertions method of Floyd, the axiomatic method of Hoare, and Scott‘ s fixpoint induction. The aim of the book is to present these different verification methods in a simple setting and to explain their mathematical background in particular the problems of correctness and completeness of the different methods are discussed in some detail and many helpful examples are included. Contents Authors’ Preface Part A: Preliminaries Mathematical Preliminaries Predicate Logic Part B: Semantics of Programming Languages Three Simple Programming Languages Fixpoints in Complete Partial Orders Denotational Semantics Part C: Program Verification Methods Correctness of Programs The Classical Methods of Floyd The Axiomatic Method of Hoare Verification Methods Based on Denotational Semantics LCF A Logic for Computable Functions Part D: Prospects An Overview of Further Developments Bibliography Index Review of the First Edition ‘ … one of the better books currently available which introduces program verification.’ G.

"This is a very beautiful and powerful study of an area that Christiansen has dominated for many years." - Marcus Feldman, Stanford University, USA Population genetics thrives on the constant interaction between theoretical and empirical knowledge. In the first instance, population genetics was developed using one-locus, two-allele models for genetic variation. The simplicity of these models opened up theoretical developments in population and evolutionary genetics to biologists without specialist training in mathematics. Population genetics of multi-allelic loci is more complex and requires more mathematical insight, and its study is predominantly undertaken by mathematical biologists. Traditional formulations of multi-locus theory do not simplify by assuming two alleles per locus. In this elegant presentation the author provides a formulation of multi-locus population genetics that retains the simplicity of two-allele models.Provides an accessible and natural extension of classical population genetics to multiple lociExposes the population genetic aspects of sexual reproductionDescribes the complexity of evolutionary interactions among genesProvides the background for insight into the functioning of genetic algorithms applied in computer scienceWritten by a world leader in the fieldThe book is divided into two main sections. Part I - Recombination and Segregation - includes coverage of random mating, inbreeding, migration and mixing. Part II - Selection - covers numerous phenomena involving natural selection including viability, fertility, mutation and migration. The author has successfully presented the theory in a way that is intelligible to anyone with a reasonably good backgroundin basic mathematics and is devoted to learning multiple loci population genetics. The text is primarily aimed at advanced undergraduate and postgraduate students and researchers interested in genetics and population biology.

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Computer worm - A computer worm is a self-replicating computer program, similar to a computer virus. A virus attaches itself to, and becomes part of, another executable program; however, a worm is self-contained and does not need to be part of another program to propagate itself.

Computer software - Computer software (or simply software) is that part of a computer system that consists of encoded information (or computer instructions), as opposed to the physical computer equipment (hardware) which is used to store and process this information. The term is roughly synonymous with computer program but is more generic in scope.

Computer simulation - A computer simulation or a computer model is a computer program that attempts to simulate an abstract model of a particular system. Computer simulations have become a useful part of modeling many natural systems in physics, chemistry and biology, human systems in economics and social science and in the process of engineering new technology, to gain insight into the operation of those systems.

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