Produkt zum Begriff Algorithms:
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Algorithms
The leading introduction to computer algorithms in use today, including fifty algorithms every programmer should knowPrinceton Computer Science professors, Robert Sedgewick and Kevin Wayne, survey the most important computer algorithms in use and of interest to anyone working in science, mathematics, and engineering, and those who use computation in the liberal arts. They provide a full treatment of data structures and algorithms for key areas that enable you to confidently implement, debug, and put them to work in any computational environment. Fundamentals: Basic programming modelsData abstractionBags, queues, and stacksAnalysis of algorithms SortingElementary sortsMergesortQuicksortPriority queuesApplications GraphsUndirected graphsDirected graphsMinimum spanning treesShortest pathsStringsString sortsTriesSubstring searchRegular expressionsData compressionThese algorithms are generally ingenious creations that, remarkably, can each be expressed in just a dozen or two lines of code. As a group, they represent problem-solving power of amazing scope. They have enabled the construction of computational artifacts, the solution of scientific problems, and the development of commercial applications that would not have been feasible without them.
Preis: 81.31 € | Versand*: 0 € -
Algorithms in Java, Part 5: Graph Algorithms: Graph Algorithms
Once again, Robert Sedgewick provides a current and comprehensive introduction to important algorithms. The focus this time is on graph algorithms, which are increasingly critical for a wide range of applications, such as network connectivity, circuit design, scheduling, transaction processing, and resource allocation. In this book, Sedgewick offers the same successful blend of theory and practice that has made his work popular with programmers for many years. Michael Schidlowsky and Sedgewick have developed concise new Java implementations that both express the methods in a natural and direct manner and also can be used in real applications. Algorithms in Java, Third Edition, Part 5: Graph Algorithms is the second book in Sedgewick's thoroughly revised and rewritten series. The first book, Parts 1-4, addresses fundamental algorithms, data structures, sorting, and searching. A forthcoming third book will focus on strings, geometry, and a range of advanced algorithms. Each book's expanded coverage features new algorithms and implementations, enhanced descriptions and diagrams, and a wealth of new exercises for polishing skills. The natural match between Java classes and abstract data type (ADT) implementations makes the code more broadly useful and relevant for the modern object-oriented programming environment. The Web site for this book (www.cs.princeton.edu/~rs/) provides additional source code for programmers along with a variety of academic support materials for educators. Coverage includes: A complete overview of graph properties and typesDiagraphs and DAGs Minimum spanning treesShortest paths Network flowsDiagrams, sample Java code, and detailed algorithm descriptions A landmark revision, Algorithms in Java, Third Edition, Part 5 provides a complete tool set for programmers to implement, debug, and use graph algorithms across a wide range of computer applications.
Preis: 43.86 € | Versand*: 0 € -
Algorithms in C, Part 5: Graph Algorithms
Once again, Robert Sedgewick provides a current and comprehensive introduction to important algorithms. The focus this time is on graph algorithms, which are increasingly critical for a wide range of applications, such as network connectivity, circuit design, scheduling, transaction processing, and resource allocation. In this book, Sedgewick offers the same successful blend of theory and practice with concise implementations that can be tested on real applications, which has made his work popular with programmers for many years. Algorithms in C, Third Edition, Part 5: Graph Algorithms is the second book in Sedgewick's thoroughly revised and rewritten series. The first book, Parts 1-4, addresses fundamental algorithms, data structures, sorting, and searching. A forthcoming third book will focus on strings, geometry, and a range of advanced algorithms. Each book's expanded coverage features new algorithms and implementations, enhanced descriptions and diagrams, and a wealth of new exercises for polishing skills. A focus on abstract data types makes the programs more broadly useful and relevant for the modern object-oriented programming environment. Coverage includes: A complete overview of graph properties and types Diagraphs and DAGs Minimum spanning trees Shortest paths Network flows Diagrams, sample C code, and detailed algorithm descriptions The Web site for this book (http://www.cs.princeton.edu/~rs/) provides additional source code for programmers along with numerous support materials for educators. A landmark revision, Algorithms in C, Third Edition, Part 5 provides a complete tool set for programmers to implement, debug, and use graph algorithms across a wide range of computer applications.
Preis: 51.35 € | Versand*: 0 € -
Algorithms in C++ Part 5: Graph Algorithms
Once again, Robert Sedgewick provides a current and comprehensive introduction to important algorithms. The focus this time is on graph algorithms, which are increasingly critical for a wide range of applications, such as network connectivity, circuit design, scheduling, transaction processing, and resource allocation. In this book, Sedgewick offers the same successful blend of theory and practice that has made his work popular with programmers for many years. Christopher van Wyk and Sedgewick have developed concise new C++ implementations that both express the methods in a natural and direct manner and also can be used in real applications. Algorithms in C++, Third Edition, Part 5: Graph Algorithms is the second book in Sedgewick's thoroughly revised and rewritten series. The first book, Parts 1-4, addresses fundamental algorithms, data structures, sorting, and searching. A forthcoming third book will focus on strings, geometry, and a range of advanced algorithms. Each book's expanded coverage features new algorithms and implementations, enhanced descriptions and diagrams, and a wealth of new exercises for polishing skills. A focus on abstract data types makes the programs more broadly useful and relevant for the modern object-oriented programming environment. Coverage includes: A complete overview of graph properties and types Diagraphs and DAGs Minimum spanning trees Shortest paths Network flows Diagrams, sample C++ code, and detailed algorithm descriptions The Web site for this book (http://www.cs.princeton.edu/~rs/) provides additional source code for programmers along with a wide range of academic support materials for educators. A landmark revision, Algorithms in C++, Third Edition, Part 5 provides a complete tool set for programmers to implement, debug, and use graph algorithms across a wide range of computer applications.
Preis: 27.81 € | Versand*: 0 €
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Inwiefern beeinflusst die genetische Variabilität die Anpassungsfähigkeit von Arten an veränderte Umweltbedingungen in der Evolution?
Die genetische Variabilität ermöglicht es Arten, auf veränderte Umweltbedingungen zu reagieren, da sie eine breitere Palette von Merkmalen und Anpassungsmöglichkeiten besitzen. Durch genetische Vielfalt können Arten schneller neue Merkmale entwickeln, die es ihnen ermöglichen, sich an veränderte Umweltbedingungen anzupassen. Eine höhere genetische Vielfalt kann auch die Wahrscheinlichkeit erhöhen, dass zumindest einige Individuen einer Art in der Lage sind, in einer veränderten Umwelt zu überleben und sich fortzupflanzen. Insgesamt trägt die genetische Variabilität also maßgeblich zur Anpassungsfähigkeit von Arten an veränderte Umweltbedingungen in der Evolution bei.
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Was sind die verschiedenen Ausprägungen von genetischer Variabilität und wie beeinflussen sie die Anpassungsfähigkeit einer Population?
Die verschiedenen Ausprägungen von genetischer Variabilität umfassen Mutationen, Rekombination und Gendrift. Mutationen führen zu neuen Allelen, Rekombination erhöht die genetische Vielfalt und Gendrift kann die Allelfrequenzen verändern. Diese Faktoren beeinflussen die Anpassungsfähigkeit einer Population, da sie die genetische Vielfalt erhöhen und somit die Wahrscheinlichkeit erhöhen, dass eine Population auf Umweltveränderungen reagieren kann.
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Inwiefern trägt Flexibilität zur Anpassungsfähigkeit in unterschiedlichen Situationen bei? Wie kann Flexibilität im Arbeitsalltag gefördert werden?
Flexibilität ermöglicht es, sich schnell auf veränderte Bedingungen einzustellen und alternative Lösungen zu finden. Im Arbeitsalltag kann Flexibilität durch offene Kommunikation, klare Zielsetzungen und die Bereitschaft zur Zusammenarbeit gefördert werden. Außerdem ist es wichtig, Mitarbeiter zu ermutigen, neue Ideen auszuprobieren und sich kontinuierlich weiterzuentwickeln.
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Wie können Faltwände verwendet werden, um einem Raum mehr Flexibilität und Variabilität zu verleihen?
Faltwände können verwendet werden, um einen Raum in verschiedene Bereiche zu unterteilen und somit mehr Privatsphäre zu schaffen. Sie ermöglichen es, den Raum je nach Bedarf zu vergrößern oder zu verkleinern. Zudem können Faltwände als dekoratives Element eingesetzt werden, um den Raum optisch aufzuwerten.
Ähnliche Suchbegriffe für Algorithms:
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Grokking Algorithms
A friendly, fully-illustrated introduction to the most important computer programming algorithms. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. This book will prepare you for those pesky algorithms questions in every programming job interview and help you apply them in your day-to-day work. And if you want to understand them without slogging through dense multipage proofs, this is the book for you. In Grokking Algorithms, Second Edition you will discover: Search, sort, and graph algorithms Data structures such as arrays, lists, hash tables, trees, and graphs NP complete and greedy algorithms Performance trade-offs between algorithms Exercises and code samples in every chapter Over 400 illustrations with detailed walkthroughs The first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn't have to be complicated or boring! This new edition now includes fresh coverage of trees, NP complete problems, and code updates to Python 3. With easy-to-read, friendly explanations, clever examples, and exercises to sharpen your skills as you learn, youll actually enjoy learning these important algorithms.
Preis: 60.98 € | Versand*: 0 € -
Algorithms: Part I
This book is Part I of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part I contains Chapters 1 through 3 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.
Preis: 20.32 € | Versand*: 0 € -
Algorithms, Part II
This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.
Preis: 20.32 € | Versand*: 0 € -
Algorithms in Java, Part 5: Graph Algorithms: Graph Algorithms
Once again, Robert Sedgewick provides a current and comprehensive introduction to important algorithms. The focus this time is on graph algorithms, which are increasingly critical for a wide range of applications, such as network connectivity, circuit design, scheduling, transaction processing, and resource allocation. In this book, Sedgewick offers the same successful blend of theory and practice that has made his work popular with programmers for many years. Michael Schidlowsky and Sedgewick have developed concise new Java implementations that both express the methods in a natural and direct manner and also can be used in real applications. Algorithms in Java, Third Edition, Part 5: Graph Algorithms is the second book in Sedgewick's thoroughly revised and rewritten series. The first book, Parts 1-4, addresses fundamental algorithms, data structures, sorting, and searching. A forthcoming third book will focus on strings, geometry, and a range of advanced algorithms. Each book's expanded coverage features new algorithms and implementations, enhanced descriptions and diagrams, and a wealth of new exercises for polishing skills. The natural match between Java classes and abstract data type (ADT) implementations makes the code more broadly useful and relevant for the modern object-oriented programming environment. The Web site for this book (www.cs.princeton.edu/~rs/) provides additional source code for programmers along with a variety of academic support materials for educators. Coverage includes: A complete overview of graph properties and typesDiagraphs and DAGs Minimum spanning treesShortest paths Network flowsDiagrams, sample Java code, and detailed algorithm descriptions A landmark revision, Algorithms in Java, Third Edition, Part 5 provides a complete tool set for programmers to implement, debug, and use graph algorithms across a wide range of computer applications.
Preis: 27.81 € | Versand*: 0 €
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Inwiefern beeinflusst die genetische Variabilität die Anpassungsfähigkeit von Populationen an sich verändernde Umweltbedingungen in den Bereichen der Biologie, Ökologie und Evolution?
Die genetische Variabilität innerhalb einer Population ermöglicht es den Individuen, sich an sich verändernde Umweltbedingungen anzupassen, da verschiedene genetische Merkmale unterschiedliche Überlebensvorteile bieten können. In ökologischer Hinsicht kann genetische Vielfalt die Anpassungsfähigkeit einer Population an verschiedene Lebensräume und Nahrungsquellen erhöhen. In der Evolution ermöglicht die genetische Vielfalt einer Population die Entstehung neuer Merkmale und die Anpassung an neue ökologische Nischen. Insgesamt trägt die genetische Variabilität dazu bei, dass Populationen besser in der Lage sind, sich an veränderte Umweltbedingungen anzupassen und langfristig zu überleben.
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Inwiefern beeinflusst die genetische Variabilität einer Population die Anpassungsfähigkeit an veränderte Umweltbedingungen in der Evolutionsbiologie, der Ökologie und der medizinischen Forschung?
Die genetische Variabilität einer Population ist entscheidend für ihre Anpassungsfähigkeit an veränderte Umweltbedingungen, da sie die Grundlage für evolutionäre Veränderungen bildet. In der Evolutionsbiologie ermöglicht die genetische Vielfalt einer Population die Entstehung neuer Merkmale und die Anpassung an neue ökologische Nischen. In der Ökologie trägt die genetische Vielfalt einer Population zur Resilienz gegenüber Umweltveränderungen bei und kann das Überleben der Population sichern. In der medizinischen Forschung ist die genetische Vielfalt einer Population wichtig für die Entwicklung personalisierter Medizin und die Identifizierung genetischer Risikofaktoren für Krankheiten.
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Inwiefern beeinflusst die genetische Variabilität die Anpassungsfähigkeit von Populationen an sich verändernde Umweltbedingungen in der Biologie, Ökologie und Evolutionsbiologie?
Die genetische Variabilität innerhalb einer Population ermöglicht es den Individuen, sich an sich verändernde Umweltbedingungen anzupassen, da sie unterschiedliche Merkmale und Eigenschaften aufweisen. Diese Vielfalt ermöglicht es der Population, auf Veränderungen in der Umwelt zu reagieren und sich anzupassen, da einige Individuen besser geeignet sind, in neuen Umgebungen zu überleben und sich zu vermehren. In der Ökologie kann die genetische Vielfalt einer Population dazu beitragen, dass sie verschiedene ökologische Nischen besetzen kann, was ihre Überlebensfähigkeit in verschiedenen Lebensräumen erhöht. In der Evolutionsbiologie ermöglicht die genetische Vielfalt einer Population die Entstehung neuer Merkmale und die Anpassung an neue Umweltbedingungen, was lang
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Was sind die verschiedenen Ausprägungen der genetischen Variabilität innerhalb einer Population und wie beeinflussen sie die Anpassungsfähigkeit an veränderte Umweltbedingungen?
Die verschiedenen Ausprägungen der genetischen Variabilität innerhalb einer Population umfassen Mutationen, Rekombination und genetische Drift. Diese Variationen ermöglichen es der Population, auf veränderte Umweltbedingungen zu reagieren, indem sie eine breitere genetische Vielfalt bieten. Individuen mit vorteilhaften genetischen Merkmalen haben eine höhere Überlebenschance und können sich besser an neue Umweltbedingungen anpassen.
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