Gavin lowe (32 Ergebnisse)

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Animals: Vol 2 No 18 (Magazine)
Scott, Peter; Durrell, Gerald; Maxwell, Gavin; etc. (Advisory Ed.s); Lowe, Frank A; Dalton, Stephen; Burton, Jane; Gosling, Robin and Angela; Hartman, Nancy; York, William; Serventy, Vincent
Verlag: Purnell and Sons Ltd, 1963
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Paperback. Zustand: Very Good. Oversized magazine, VG, a little rub at spine base, biro price to top upper wrap corner, pp477-504, contents nice and tight with colour illust.s, loose animal sticker sheet as new. With chapters including: Insects of The Lebanon; Birth in the Tree-Tops; Destroyed by Elephants; Britiain's Wild Ponie…s The Shetland; John Daniel; Give a Snake a Bad Name and The Bushman's Clock.

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Paperback. Zustand: New. This book describes how to think about computer programs, and how to use mathematics as part of that thinking. Many books and online tutorials teach the basics of coding: the syntax of the language, and how to translate an algorithm into code. But how do you come up with that algorithm? And how can you b…e confident that the algorithm is correct?The first part of the book considers small programs that use a loop, and how to demonstrate their correctness using loop invariants. It also covers some algorithms and algorithmic techniques that every programmer should know. The second half of the book considers slightly larger programs. It teaches the basics of modularisation, splitting up a program into manageable chunks. It teaches about abstract datatypes, values within a program that can be treated as mathematical values: how to specify their behaviours formally; and how to treat them as abstract mathematical objects when programming. It also teaches how to use data structures to represent abstract datatypes, and what it means for such a representation to be correct. And it presents some abstract datatypes and data structures that every programmer should know.The book is aimed at those who want to obtain a better understanding of programs they work on, and so become better programmers. The target audience ranges from those who are just starting out, to professional programmers. The book aims to be pragmatic: the philosophy is to include enough formality to be convincing and to guide the programmer towards correct code, without getting bogged down in the mathematics.

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Paperback. Zustand: New. This book describes how to think about computer programs, and how to use mathematics as part of that thinking. Many books and online tutorials teach the basics of coding: the syntax of the language, and how to translate an algorithm into code. But how do you come up with that algorithm? And how can you b…e confident that the algorithm is correct?The first part of the book considers small programs that use a loop, and how to demonstrate their correctness using loop invariants. It also covers some algorithms and algorithmic techniques that every programmer should know. The second half of the book considers slightly larger programs. It teaches the basics of modularisation, splitting up a program into manageable chunks. It teaches about abstract datatypes, values within a program that can be treated as mathematical values: how to specify their behaviours formally; and how to treat them as abstract mathematical objects when programming. It also teaches how to use data structures to represent abstract datatypes, and what it means for such a representation to be correct. And it presents some abstract datatypes and data structures that every programmer should know.The book is aimed at those who want to obtain a better understanding of programs they work on, and so become better programmers. The target audience ranges from those who are just starting out, to professional programmers. The book aims to be pragmatic: the philosophy is to include enough formality to be convincing and to guide the programmer towards correct code, without getting bogged down in the mathematics.

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Sprache: Englisch
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010
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Paperback. Zustand: new. Paperback. ThisvolumecontainstheworkshopproceedingsofARSPA-WITS2010,theJoint Workshop on Automated Reasoning for Security Protocol Analysis and Issues in the Theory of Security, held during March 27-28, 2010 in Paphos (Cyprus). ARSPA-WITS2010o?eredaforumfordiscussingnewresultsintheoriesofc- putersecurity…,openquestionsandfundamentalconcernsaboutexistingtheories, and issues related to the development and application of automated reas- ing techniques and tools for the formal speci?cation and analysis of security protocols. There were 28 submissions. All the submissions were thoroughly evaluated on the basis of at least three referee reports, and an electronic Program C- mittee meeting was held by using the EasyChair on-line conference system. The committee decided to accept the 11 papers included in this volume. The authors were giventhe opportunity to revise their paper in light of the feedback received during the workshop. The workshop program was enriched by two invited talks by Flemming Nielson and Catuscia Palamidessi, whose titles and abstracts are also included in this volume.April 2010 Alessandro Armando Gavin Lowe Conference Organization Program Chairs Alessandro Armando Universita di Genova, Italy (Co-chair) Gavin Lowe Oxford University, UK (Co-chair) Program Committee Lujo Bauer CMU, USA Yannick Chevalier Universite Toulouse III, France Luca Compagna SAP Research, France Cas Cremers ETHZ, Switzerland Jorge Cuellar Siemens, Germany Pierpaolo Degano Universita di Pisa, Italy Sandro Etalle Technical University of Eindhoven and University of Twente, The Netherlands Riccardo Focardi Universita di Venezia, Italy Dieter Gollman Technische Universitat Hamburg-Harburg, Germany Joshua Guttman MITRE, USA Jan Jurjens TU Dortmund and Fraunhofer ISST, Germany Gavin Lowe Oxford University, UK (Co-chair) Catherine Meadows Naval Research Laboratory, USA John Mitchell Stanford University, USA Constitutes the proceedings of the Joint Workshop on Automated Reasoning for Security Protocol Analysis and Issues in the Theory of Security, that was held in Paphos, Cyprus, in March 2010. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardback. Zustand: New. This book describes how to think about computer programs, and how to use mathematics as part of that thinking. Many books and online tutorials teach the basics of coding: the syntax of the language, and how to translate an algorithm into code. But how do you come up with that algorithm? And how can you be… confident that the algorithm is correct?The first part of the book considers small programs that use a loop, and how to demonstrate their correctness using loop invariants. It also covers some algorithms and algorithmic techniques that every programmer should know. The second half of the book considers slightly larger programs. It teaches the basics of modularisation, splitting up a program into manageable chunks. It teaches about abstract datatypes, values within a program that can be treated as mathematical values: how to specify their behaviours formally; and how to treat them as abstract mathematical objects when programming. It also teaches how to use data structures to represent abstract datatypes, and what it means for such a representation to be correct. And it presents some abstract datatypes and data structures that every programmer should know.The book is aimed at those who want to obtain a better understanding of programs they work on, and so become better programmers. The target audience ranges from those who are just starting out, to professional programmers. The book aims to be pragmatic: the philosophy is to include enough formality to be convincing and to guide the programmer towards correct code, without getting bogged down in the mathematics.

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Paperback. Zustand: Brand New. 184 pages. 9.00x6.00x0.50 inches. In Stock.

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Hardback. Zustand: New. This book describes how to think about computer programs, and how to use mathematics as part of that thinking. Many books and online tutorials teach the basics of coding: the syntax of the language, and how to translate an algorithm into code. But how do you come up with that algorithm? And how can you be… confident that the algorithm is correct?The first part of the book considers small programs that use a loop, and how to demonstrate their correctness using loop invariants. It also covers some algorithms and algorithmic techniques that every programmer should know. The second half of the book considers slightly larger programs. It teaches the basics of modularisation, splitting up a program into manageable chunks. It teaches about abstract datatypes, values within a program that can be treated as mathematical values: how to specify their behaviours formally; and how to treat them as abstract mathematical objects when programming. It also teaches how to use data structures to represent abstract datatypes, and what it means for such a representation to be correct. And it presents some abstract datatypes and data structures that every programmer should know.The book is aimed at those who want to obtain a better understanding of programs they work on, and so become better programmers. The target audience ranges from those who are just starting out, to professional programmers. The book aims to be pragmatic: the philosophy is to include enough formality to be convincing and to guide the programmer towards correct code, without getting bogged down in the mathematics.

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Paperback. Zustand: New. This book describes how to think about computer programs, and how to use mathematics as part of that thinking. Many books and online tutorials teach the basics of coding: the syntax of the language, and how to translate an algorithm into code. But how do you come up with that algorithm? And how can you b…e confident that the algorithm is correct?The first part of the book considers small programs that use a loop, and how to demonstrate their correctness using loop invariants. It also covers some algorithms and algorithmic techniques that every programmer should know. The second half of the book considers slightly larger programs. It teaches the basics of modularisation, splitting up a program into manageable chunks. It teaches about abstract datatypes, values within a program that can be treated as mathematical values: how to specify their behaviours formally; and how to treat them as abstract mathematical objects when programming. It also teaches how to use data structures to represent abstract datatypes, and what it means for such a representation to be correct. And it presents some abstract datatypes and data structures that every programmer should know.The book is aimed at those who want to obtain a better understanding of programs they work on, and so become better programmers. The target audience ranges from those who are just starting out, to professional programmers. The book aims to be pragmatic: the philosophy is to include enough formality to be convincing and to guide the programmer towards correct code, without getting bogged down in the mathematics.

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Zustand: New. ThisvolumecontainstheworkshopproceedingsofARSPA-WITS2010,theJoint Workshop on Automated Reasoning for Security Protocol Analysis and Issues in the Theory of Security, held during March 27 28, 2010 in Paphos (Cyprus). ARSPA-WITS2010o?eredaforumfordiscussingn.

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Hardback. Zustand: New. This book describes how to think about computer programs, and how to use mathematics as part of that thinking. Many books and online tutorials teach the basics of coding: the syntax of the language, and how to translate an algorithm into code. But how do you come up with that algorithm? And how can you be… confident that the algorithm is correct?The first part of the book considers small programs that use a loop, and how to demonstrate their correctness using loop invariants. It also covers some algorithms and algorithmic techniques that every programmer should know. The second half of the book considers slightly larger programs. It teaches the basics of modularisation, splitting up a program into manageable chunks. It teaches about abstract datatypes, values within a program that can be treated as mathematical values: how to specify their behaviours formally; and how to treat them as abstract mathematical objects when programming. It also teaches how to use data structures to represent abstract datatypes, and what it means for such a representation to be correct. And it presents some abstract datatypes and data structures that every programmer should know.The book is aimed at those who want to obtain a better understanding of programs they work on, and so become better programmers. The target audience ranges from those who are just starting out, to professional programmers. The book aims to be pragmatic: the philosophy is to include enough formality to be convincing and to guide the programmer towards correct code, without getting bogged down in the mathematics.

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Paperback. Zustand: New. This book describes how to think about computer programs, and how to use mathematics as part of that thinking. Many books and online tutorials teach the basics of coding: the syntax of the language, and how to translate an algorithm into code. But how do you come up with that algorithm? And how can you b…e confident that the algorithm is correct?The first part of the book considers small programs that use a loop, and how to demonstrate their correctness using loop invariants. It also covers some algorithms and algorithmic techniques that every programmer should know. The second half of the book considers slightly larger programs. It teaches the basics of modularisation, splitting up a program into manageable chunks. It teaches about abstract datatypes, values within a program that can be treated as mathematical values: how to specify their behaviours formally; and how to treat them as abstract mathematical objects when programming. It also teaches how to use data structures to represent abstract datatypes, and what it means for such a representation to be correct. And it presents some abstract datatypes and data structures that every programmer should know.The book is aimed at those who want to obtain a better understanding of programs they work on, and so become better programmers. The target audience ranges from those who are just starting out, to professional programmers. The book aims to be pragmatic: the philosophy is to include enough formality to be convincing and to guide the programmer towards correct code, without getting bogged down in the mathematics.

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Taschenbuch. Zustand: Neu. Neuware - ThisvolumecontainstheworkshopproceedingsofARSPA-WITS2010,theJoint Workshop on Automated Reasoning for Security Protocol Analysis and Issues in the Theory of Security, held during March 27 28, 2010 in Paphos (Cyprus). ARSPA-WITS2010o eredaforumfordiscussingnewresultsintheoriesofc- putersecurit…y,openquestionsandfundamentalconcernsaboutexistingtheories, and issues related to the development and application of automated reas- ing techniques and tools for the formal speci cation and analysis of security protocols. There were 28 submissions. All the submissions were thoroughly evaluated on the basis of at least three referee reports, and an electronic Program C- mittee meeting was held by using the EasyChair on-line conference system. The committee decided to accept the 11 papers included in this volume. The authors were giventhe opportunity to revise their paper in light of the feedback received during the workshop. The workshop program was enriched by two invited talks by Flemming Nielson and Catuscia Palamidessi, whose titles and abstracts are also included in this volume. April 2010 Alessandro Armando Gavin Lowe Conference Organization Program Chairs Alessandro Armando Università di Genova, Italy (Co-chair) Gavin Lowe Oxford University, UK (Co-chair) Program Committee Lujo Bauer CMU, USA Yannick Chevalier Université Toulouse III, France Luca Compagna SAP Research, France Cas Cremers ETHZ, Switzerland Jorge Cuellar Siemens, Germany Pierpaolo Degano Università di Pisa, Italy Sandro Etalle Technical University of Eindhoven and University of Twente, The Netherlands Riccardo Focardi Università di Venezia, Italy Dieter Gollman Technische Universität Hamburg-Harburg, Germany Joshua Guttman MITRE, USA Jan Jürjens TU Dortmund and Fraunhofer ISST, Germany Gavin Lowe Oxford University, UK (Co-chair) Catherine Meadows Naval Research Laboratory, USA John Mitchell Stanford University, USA.

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Hardback. Zustand: New. This book describes how to think about computer programs, and how to use mathematics as part of that thinking. Many books and online tutorials teach the basics of coding: the syntax of the language, and how to translate an algorithm into code. But how do you come up with that algorithm? And how can you be… confident that the algorithm is correct?The first part of the book considers small programs that use a loop, and how to demonstrate their correctness using loop invariants. It also covers some algorithms and algorithmic techniques that every programmer should know. The second half of the book considers slightly larger programs. It teaches the basics of modularisation, splitting up a program into manageable chunks. It teaches about abstract datatypes, values within a program that can be treated as mathematical values: how to specify their behaviours formally; and how to treat them as abstract mathematical objects when programming. It also teaches how to use data structures to represent abstract datatypes, and what it means for such a representation to be correct. And it presents some abstract datatypes and data structures that every programmer should know.The book is aimed at those who want to obtain a better understanding of programs they work on, and so become better programmers. The target audience ranges from those who are just starting out, to professional programmers. The book aims to be pragmatic: the philosophy is to include enough formality to be convincing and to guide the programmer towards correct code, without getting bogged down in the mathematics.

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Soft cover. Zustand: As New. 1st Edition. London: Starfire Publishing Ltd, 1996. AS NEW / UNREAD (see scan). First Edition. Soft Cover. As New. Illus. by Austin Osman Spare, Robert Taylor, Paul Lowe, Lindsey Calvert, Andrew D. Chumbley, Peter Smith, Carina van der Snee, Vonn Stropp. 4to size - 11½" tall. Oversized Safely, Secure…ly Packed.

Maclean's - Canada's National Magazine, 1 June, 1940 - The Rowell-Sirois Report
Raddall, Thomas H.; Knight, Eric; Lavender, David; Holt, Gavin; Fowler, R.M.; Baxter, A. Beverley; Lowe, Arthur; Quinpool, John; Ferguson, Elmer W.; Krafft, Kathleen; Smith, Margaret
Verlag: The Maclean Publishing Company, Limited, Toronto, 1940
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Single Issue Magazine. Zustand: Fair. First Edition. 48 pages. Features: Nice colour ad for International Trucks inside front cover features a pop (beverage) truck at work; Supita (fiction); Design for a new Dominion - The Rowell-Sirois Report is charged with significance for every individual Canadina living today and for his ch…ildren and his grandchildren after him - with photo of the Dominion-Provincial Relations Committee; Sam Small's Better Half (fiction); Gerard Cote - Canadian Marathon Champ - article with photo; Twilight for Neville Chamberlain; Check Rein (fiction); Treasure in Iron - article and photos of the Steep Rock Mine near Atikokan, Ontario; Murder Off Stage (fiction); A Century in Steam - the story of the first transatlantic steamship to dock at a Canadian port on June 1st, 1840; Nice full-page ad for RCA Victor audio products; Gifts for the Bride; Full-page Dodge truck ad. Front cover nearly loose. Back cover badly chipped and loose. Above-average wear. A worthy reference copy. Price, Norman; Eldridge, Harold; LaSalle, Charles; Summers, Gloyne (illustrator).

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Paperback. Zustand: new. Paperback. This book describes how to think about computer programs, and how to use mathematics as part of that thinking. Many books and online tutorials teach the basics of coding: the syntax of the language, and how to translate an algorithm into code. But how do you come up with that algorithm? And ho…w can you be confident that the algorithm is correct?The first part of the book considers small programs that use a loop, and how to demonstrate their correctness using loop invariants. It also covers some algorithms and algorithmic techniques that every programmer should know. The second half of the book considers slightly larger programs. It teaches the basics of modularisation, splitting up a program into manageable chunks. It teaches about abstract datatypes, values within a program that can be treated as mathematical values: how to specify their behaviours formally; and how to treat them as abstract mathematical objects when programming. It also teaches how to use data structures to represent abstract datatypes, and what it means for such a representation to be correct. And it presents some abstract datatypes and data structures that every programmer should know.The book is aimed at those who want to obtain a better understanding of programs they work on, and so become better programmers. The target audience ranges from those who are just starting out, to professional programmers. The book aims to be pragmatic: the philosophy is to include enough formality to be convincing and to guide the programmer towards correct code, without getting bogged down in the mathematics. Adopt a mathematical approach to programming by learning how to design algorithms with loop invariants and abstraction. Discover techniques for modularizing code and formally specifying abstract data types with data structures, enabling both beginners and professionals to ensure correct program behavior. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Hardcover. Zustand: new. Hardcover. This book describes how to think about computer programs, and how to use mathematics as part of that thinking. Many books and online tutorials teach the basics of coding: the syntax of the language, and how to translate an algorithm into code. But how do you come up with that algorithm? And ho…w can you be confident that the algorithm is correct?The first part of the book considers small programs that use a loop, and how to demonstrate their correctness using loop invariants. It also covers some algorithms and algorithmic techniques that every programmer should know. The second half of the book considers slightly larger programs. It teaches the basics of modularisation, splitting up a program into manageable chunks. It teaches about abstract datatypes, values within a program that can be treated as mathematical values: how to specify their behaviours formally; and how to treat them as abstract mathematical objects when programming. It also teaches how to use data structures to represent abstract datatypes, and what it means for such a representation to be correct. And it presents some abstract datatypes and data structures that every programmer should know.The book is aimed at those who want to obtain a better understanding of programs they work on, and so become better programmers. The target audience ranges from those who are just starting out, to professional programmers. The book aims to be pragmatic: the philosophy is to include enough formality to be convincing and to guide the programmer towards correct code, without getting bogged down in the mathematics. Harness mathematical thinking to develop and validate computer programs. The work guides readers through techniques for crafting algorithms with loop invariants, modular program design, and formal abstraction of data types. It empowers both beginners and seasoned programmers to build reliable, precise code. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book describes how to think about computer programs, and how to use mathematics as part of that thinking. Many books and online tutorials teach the basics of coding: the syntax of the language, and how to translate an algorithm into c…ode. But how do you come up with that algorithm And how can you be confident that the algorithm is correct The first part of the book considers small programs that use a loop, and how to demonstrate their correctness using loop invariants. It also covers some algorithms and algorithmic techniques that every programmer should know. The second half of the book considers slightly larger programs. It teaches the basics of modularisation, splitting up a program into manageable chunks. It teaches about abstract datatypes, values within a program that can be treated as mathematical values: how to specify their behaviours formally; and how to treat them as abstract mathematical objects when programming. It also teaches how to use data structures to represent abstract datatypes, and what it means for such a representation to be correct. And it presents some abstract datatypes and data structures that every programmer should know.The book is aimed at those who want to obtain a better understanding of programs they work on, and so become better programmers. The target audience ranges from those who are just starting out, to professional programmers. The book aims to be pragmatic: the philosophy is to include enough formality to be convincing and to guide the programmer towards correct code, without getting bogged down in the mathematics.

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Taschenbuch. Zustand: Neu. Thinking About Programs | Gavin Lowe | Taschenbuch | ACM Books | Einband - flex.(Paperback) | Englisch | 2025 | Association for Computing Machinery | EAN 9798400731631 | Verantwortliche Person für die EU: Mare Nostrum Group B.V., Doelen 72, 4831 GR BREDA, NIEDERLANDE, gpsr[at]mare-nostrum[dot]co[dot]uk… | Anbieter: preigu Print on Demand.